The content of this post is solely the responsibility of the author.  AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. 

More than 67% of internet users in the US remain blissfully unaware of online privacy and data protection regulations.

At the same time, the global average cost of data breaches and cyber-attacks has increased by 15% since 2020 to $4.45 million. In fact, compromised credentials and personal information are responsible for nearly 20% of nearly 1.4 billion security incidents during this period.

As a result, there’s a growing need for a solution to protect sensitive data from potential theft or misuse.

Global Privacy Control (GPC) is an emerging resolution to give users more control over their data when navigating the internet and using digital solutions.

In this article, you’ll learn about the core concept of GPC and its importance in digital protection.

What is Global Privacy Control (GPC)?

Global Privacy Control, or GPC, is a cybersecurity and data privacy initiative to give businesses and individuals greater control over their data, including its storage, distribution, and usage.

It offers a simple, standardized way to assert and protect your privacy rights while surfing the internet and navigating different websites and applications.

Adopting and implementing the protocol sends a “Do Not Collect or Share My Data” signal to digital platforms, prompting them to refrain from selling your data to third parties for advertising and other commercial purposes.

Common data websites collect generally include:

• Personal information (Name, contact, address, etc.);
• Browsing history;
• Live location;
• Device information (Model, operating system, etc.);
• IP address;
• Cookies;
• Payment information (Card details, digital wallet credentials, etc.);
• Account credentials (Social media apps, third-party services, etc.);
• Usage data (Time, features used, launch frequency, and more).

By activating the GPC signal, you can exercise your privacy rights and stop sites and apps from collecting all the information listed (and more).

The significance of data privacy and how can GPC help?

Data privacy is more critical than ever due to the unprecedented exchange and collection of data on the internet. Digital entities actively collect your valuable data, including personal information, browsing habits, location, financial details, etc.

By creating vast repositories of your data, websites, and apps gain insights into your online behavior, and use them to tailor:

• Ads;
• UI/UX design;
• Site content;
• Products;
• Services.

However, by doing so, they increase your risk of security breaches and privacy infringements. Hackers and cybercriminals actively target sensible information like your IP address to orchestrate various attacks, including:

• Distributed Denial of Service (DDoS) attacks;
• Spoofing;
• Ransomware and spyware;
• Man-in-the-Middle attacks;
• Brute force attacks, etc.

Fortunately, you can prevent an IP address hack and consequential attacks using a virtual private network (VPN). A VPN encrypts your IP address and online traffic, making it nearly impossible for malicious criminals to access your data.

However, you can take data protection to a whole new level by combining Global Privacy Control with VPN and other essential cybersecurity tools, such as:

• Anti-malware software;
• SSL certificates;
• Multi-factor authentication;
• Intrusion detection systems, etc.

Preserving data privacy is crucial for protecting valuable data and building trust between users and digital platforms. As it stands, GPS is one of the few initiatives that can proactively prevent breaches by stopping the flow of user data.

Benefits of adopting Global Privacy Control

Below are the key benefits of adopting GPC on websites or apps:

1. Data security & privacy enhancement

GPC enables you to fortify your valuable data against nonconsensual or unauthorized sharing. Hence, you can use your personal information solely for core purposes, such as logging into your account or online transactions.

With GPC protocols, no website or app will record your browsing activity, usage, or online behavior, significantly reducing the risk of attacks, identity theft, and unauthorized access.

2. Transparent data collection and usage

If your business relies on collecting user data, you can use GPC to enable transparent collection and usage. You can share how your site or app collects, processes, and shares user data. This transparency allows visitors, customers, or users to make more informed decisions about engaging with your site or app.

3. Building trust & credibility

If you run an online business, one of the best ways to build trust with users is by respecting their online privacy preferences. This powerful branding and marketing strategy allows you to implement GPC and honor “Do Not Share My Data” requests.

Demonstrating that you care about your user’s privacy needs can improve credibility and foster a long-term relationship with them.

4. Compliance with privacy regulations

In the post-pandemic age, there’s an increased focus on data privacy regulations worldwide, including (but not limited to):

• General Data Protection Regulation (GDPR) – EU and UK;
• California Consumer Privacy Act (CCPA);
• California Privacy Rights Act (CPRA);
• Personal Information Protection and Electronic Documents Act (PIPEDA) – Canada;
• Health Information Technology for Economic and Clinical Health Act (HITECH), etc.

These bodies have strict privacy laws and policies you must adhere to. Failure to comply could lead to heavy fines and legal liabilities. Moreover, when users learn you’re non-compliant, they’ll hesitate to visit your site or use your app.

5. Empowering user control

Global Privacy Control makes users 100% responsible and accountable for the data they share on digital platforms. You have full control over your sharing preferences and can choose to avoid sharing data with third-party companies directly or through the site or app.

This user-centric approach promotes a sense of ownership and helps businesses mitigate security risks.

Conclusion

As the world rapidly shifts to a digital-first economy, you must take the necessary steps to safeguard data privacy.

With our commitment to Global Privacy Control (GPC), you can maximize data control and privacy protection. So, feel free to delve into our wealth of resources and empower yourself with the knowledge to fortify your online defenses.

The post What Is Global Privacy Control (GPC), and how can it help you protect your data? appeared first on Cybersecurity Insiders.

The content of this post is solely the responsibility of the author.  AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. 

The threat of ransomware attacks continues to strike organizations, government institutions, individuals, and businesses across the globe. These attacks have skyrocketed in frequency and sophistication, leaving a trail of disrupted operations, financial loss, and compromised data. Statistics reveal that there will be a new ransomware attack after every two seconds by 2031 while the companies lose between $1 and $10 million because of these attacks.

As the security landscape evolves, cybercriminals change their tactics and attack vectors to maximize their profit potential. Previously, ransomware attackers employed tactics like email phishing, remote desktop protocol vulnerabilities, supply chain issues, and exploit kits to breach the system and implant the ransomware payloads. But now attackers have significantly changed their business model.

Organizations need to adopt a proactive stance as more ransomware gangs emerge and new tactics are introduced. They must aim to lower their attack surface and increase their ability to respond to and recover from the aftermath of a ransomware attack.

How is ransomware blooming as a business model?

Ransomware has emerged as a thriving business model for cybercriminals. It is a highly lucrative and sophisticated method in which the attackers encrypt the data and release it only when the ransom is paid. Data backup was one way for businesses to escape this situation, but those lacking this had no option except to pay the ransom. If organizations delay or stop paying the ransom, attackers threaten to exfiltrate or leak valuable data. This adds more pressure on organizations to pay the ransom, especially if they hold sensitive customer information and intellectual property. As a result, over half of ransomware victims agree to pay the ransom.

With opportunities everywhere, ransomware attacks have evolved as the threat actors continue looking for new ways to expand their operations’ attack vectors and scope. For instance, the emergence of the Ransomware-as-a-service (RaaS) model encourages non-technical threat actors to participate in these attacks. It allows cybercriminals to rent or buy ransomware toolkits to launch successful attacks and earn a portion of the profits instead of performing the attacks themselves.

Moreover, a new breed of ransomware gangs is also blooming in the ransomware business. Previously, Conti, REvil, LockBit, Black Basta, and Vice Society were among the most prolific groups that launched the attacks. But now, the Clop, Cuban, and Play ransomware groups are gaining popularity as they exploit the zero-day vulnerability and impact various organizations.

Ransomware has also become a professionalized industry in which attackers demand payments in Bitcoins only. Cryptocurrency provides anonymity and a more convenient way for cybercriminals to collect ransom payments, making it more difficult for law enforcement agencies to trace the money. Though the FBI discourages ransom payments, many businesses still facilitate the attackers by paying ransom in bitcoins.

 What’s the worst that can happen after a ransomware attack?

A ransomware attack can have consequences for businesses, individuals, and society. Since these attacks are prevalent there are privacy risks in almost every activity online. These attacks are not only a hazard to organisations but they also carve pathways that disrupts every associated client, customer and partner’s online anonymity. Here’s a brief insight into the worst outcomes that can occur following a ransomware attack:

No data recovery and repeated attacks

Ransomware attacks can result in significant data and financial loss. Despite promises, paying a ransom ensures no guarantee that the cybercriminals will return or delete the data they already have compromised. A study finds that nearly 200,000 companies fail to retrieve data after paying the ransom. Besides this, businesses willing to pay the ransom make them a more attractive target. The same study also finds that a ransomware attack hit 80% of companies for a second time, with 68% saying that the second attack happened in less than a month – and the attackers demanded a higher amount.

Financial instability

The most significant impact of ransomware attacks is the devastating financial losses. These attacks will cost victims around $265 billion annually by 2031. The victims are usually organizations that will likely incur the costs associated with customers’ data, investigating the attack, restoring the systems, and deploying robust security measures to avoid such attacks. In addition, if an organization fails to recover the data, it may experience long-term financial instability due to operational disruptions, reduced productivity, revenue loss, and legal liabilities.

Lawsuits and regulatory fines

Cybercriminals exfiltrate valuable data in ransomware attacks. This can result in lawsuits being filed by the affected parties whose data was compromised. Equip Systems, US Fertility, TransLink, and Canon, are some companies that faced lawsuits due to ransomware attacks. Additionally, most businesses are subject to industry regulations like HIPAA, GDPR, and CCPA to maintain data privacy. Suppose the attackers exfiltrate data that includes personally identifiable information and financial or medical records. In that case, the organizations face regulatory fines, losing customers’ trust and causing significant reputational damage.

Operational downtime

Ransomware attacks paralyze the organization’s everyday operations, resulting in significant downtime and productivity losses. Stats reveal that, on average, organizations experience almost three weeks of downtime in the aftermath of a ransomware attack. When a critical infrastructure, network, or system is compromised, businesses fail to provide services, and this downtime significantly impacts their profits and earnings.

Breaking down the ransomware business model

The risk of ransomware attacks is bigger than many organizations might realize. However, the good news is that there are plenty of measures that businesses can take to mitigate these attacks:

• Use data backups: Regularly backing up the data helps recover data during a ransomware attack. Businesses must ensure that all critical business data is backed up and stored in a location inaccessible to attackers.
• Upgrade, update, and patch systems: The older an operating system gets, the more chances of malware and other threats targeting them. Therefore, retire legacy devices, hardware, or software the vendor no longer supports. It’s also crucial to update the network software with fixes as soon as they are released.
• Reduce the attack surface: Organizations with clearly defined rules have been able to mitigate the impact of attack during the initial stages. Hence, create attack surface reduction rules to prevent common tactics that attackers use to launch an attack.
• Network segmentation: Develop a logical network segmentation based on least privilege that reduces the attack surface threat and limits lateral movement. If by any means the malicious actor bypasses your perimeter, network segmentation can stop them from moving into other network zones and protects your endpoints.
• Have a handy incident response plan: A survey finds that 77% of people say their businesses lack a formal incident response plan. A well-informed incident response plan can help businesses manage ransomware attacks better, minimize impacts, and foster fast recovery.
• Deploy XDR and SIEM tools: These tools provide holistic insights about emerging threats and enhance the security professionals’ detection and response capabilities for ransomware attacks.
• Employee education: Humans are an organization’s weakest link, and ransomware groups use this loophole to launch attacks. To close this gap, businesses must educate their employees about the latest trends, hackers’ tactics, and ways to respond promptly.

Final words

Over time, the ransomware business model is becoming sophisticated and evolving through double extortion, the RaaS model, and the emergence of new ransomware gangs. As these attacks are unlikely to go away anytime soon, businesses must educate their staff about this lucrative attack and the consequences it presents to the company. Organizations must prioritize basic cybersecurity measures like regularly backing up the data, segmenting the network, and patching the systems. Additionally, they must invest in endpoint protection tools, have an incident response plan handy, and invest enough in security awareness programs to minimize the impact of ransomware attacks.

The post Ransomware business model-What is it and how to break it? appeared first on Cybersecurity Insiders.

The content of this post is solely the responsibility of the author.  AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. 

More mobile devices, more problems. The business landscape has shifted dramatically, as more endpoints connect to corporate networks from a wider variety of locations and are transmitting massive amounts of data. Economic forces and a lengthy pandemic have caused a decentralization of the workforce and increased adoption of a hybrid workplace model.

Today, employees are more mobile than ever.

The modern workforce and workplace have experienced a significant increase in endpoints, or devices connecting to the network, and managing these diverse endpoints across various geographic locations has grown in complexity.

Here’s an analogy: imagine a bustling city, with its many roads, highways, and intersections. Each road represents a different endpoint, and the city itself symbolizes your corporate network. As the city grows and expands, more roads are built, connecting new neighborhoods and districts. Our corporate networks are like expanding cities.

But along with digital transformation and a distributional shift of the workforce, the cybersecurity landscape is evolving at an equal pace. The multitude of endpoints that connect to the network is widening the attack surface that bad actors with malicious intent can exploit.

From a cybersecurity perspective, more endpoints represent a significant business risk. Organizations need to understand the importance of managing and securing their endpoints and how these variables are intertwined for a complete endpoint security strategy.

The evolution of Mobile Device Management

Traditional Mobile Device Management has existed in some form since the early 2000s, when smartphones entered the marketplace. MDM has evolved over the last few decades, and in some way, Unified Endpoint Management (UEM) represents this modern evolution. Today, unified endpoint management has become a prominent solution for modern IT departments looking to secure their expanding attack surfaces.

UEM is more than just managing endpoints. The “unified” represents one console for deploying, managing, and helping to secure corporate endpoints and applications. UEM offers provisioning, detection, deployment, troubleshooting, and updating abilities. UEM software gives IT and security departments visibility and control over their devices as well as their end-users, delivered through a centralized management console.

For a more detailed discussion of mobile device security, check out this article.

What is the difference between MDM and UEM?

Unified Endpoint Management (UEM) and Mobile Device Management (MDM) are both solutions used to manage and secure an organization’s devices, but their scope and capabilities differ.

Mobile Device Management (MDM) is a type of security software used by an IT department to monitor, manage, and secure employees’ mobile devices deployed across multiple mobile service providers and across multiple mobile operating systems being used in the organization. MDM is primarily concerned with device security, allowing organizations to enforce policies, manage device settings, monitor device status, and secure devices if lost or stolen.

On the other hand, Unified Endpoint Management (UEM) is a more comprehensive solution that manages and secures not just mobile devices but all endpoints within an organization. This includes PCs, laptops, smartphones, tablets, and IoT devices. UEM solutions provide a single management console from which IT can control all these devices, regardless of their type or operating system.

The need for comprehensive endpoint protection

As the number of endpoints increase with the rise of a mobile workforce, so does the need for comprehensive endpoint protection. This includes the use of encryption, secure configurations, and secure communication channels.

Encryption is a critical security measure that helps protect data in transit and at rest. By encrypting data, you can ensure that even if a device is lost or stolen, the data on it remains secure and inaccessible to unauthorized users.

Secure configurations are another crucial aspect of endpoint protection, which involves setting up devices to minimize vulnerabilities and reduce the attack surface. For example, this could include disabling unnecessary services, limiting user privileges, or implementing secure settings for network connections.

For protecting data in transit, secure communication channels are essential. This can be achieved by leveraging Virtual Private Networks (VPNs), which encrypt the data being transmitted and provide a secure tunnel for communication.

The role of MDM in enforcing security measures

Mobile Device Management (MDM) solutions play a key role in enforcing these security measures consistently across all devices. MDM allows organizations to manage and control device settings, ensuring that all devices adhere to the organization’s security policies.

For example, MDM solutions can enforce encryption policies, ensuring that all data stored on the device is encrypted. They can also enforce secure configurations, such as requiring devices to have a passcode or biometric authentication, and disabling features that pose a security risk, such as USB debugging on Android devices.

Check out this infographic for a visual representation of mobile security.

Data Loss Prevention (DLP) policies are another crucial aspect of endpoint protection. These policies help prevent unauthorized data exfiltration, whether intentional or accidental.

MDM solutions can help enforce DLP policies by controlling what data can be accessed on the device, and how it can be shared. For example, MDM solutions can prevent sensitive data from being copied to the clipboard or shared via unsecured communication channels.

Security benefits of MDM and UEM

Mobile Device Management (and by extension, Unified Endpoint Management) delivers many benefits for organizations, with the most appealing being reduced costs across multiple departments. By comprehensively automating many IT tasks and processing, UEM often lowers overhead costs and hardware expenditures.

Other key benefits are as follows:

Offers endpoint management integration with multiple platforms: One of the major selling points of UEM software is its ability to integrate with a variety of platforms, including Windows 10, macOS, Linux, Chrome OS, iOS, and Android, among others. With UEM, your business can configure, control, and monitor devices on these platforms from a single management console.

Provides data and app protection across the attack surface: UEM protects corporate data and applications, reducing cybersecurity threats. This protection is accomplished by providing conditional user access, enforcing automated rules, enforcing compliance guidelines, providing safeguards for data loss, and empowering IT administrators to identify jailbreaks and OS rooting on devices.

Helps establish a modern Bring Your Own Device (BYOD) security stance: An effective UEM deployment can go a long way in maintaining the user experience for employees, regardless of who owns the device. UEM can be an effective tool for patching vulnerable applications, updating to the latest OS version, and enforcing the use of endpoint security software that actively protects BYOD devices from network-based attacks, malware, and vulnerability exploits.

Authentication: With the increase in cyber threats, implementing robust authentication measures has become more important than ever. This includes multi-factor authentication, biometric authentication, and other advanced authentication methods.

Enhanced mobile security: As the use of mobile devices for work purposes increases, so does the need for enhanced mobile security. This includes leveraging advanced security measures such as encryption, secure containers, and mobile threat defense solutions.

Remote data wiping: In the event of a device being lost or stolen, or if an employee leaves the company, it’s crucial to ensure that sensitive corporate data doesn’t fall into (or stay in) the wrong hands. UEM solutions provide the capability to remotely wipe data from devices — which can be a full wipe, removing all data, or a selective wipe, removing only corporate data while leaving personal data intact. This feature provides an essential safety net for protecting corporate data.

Application whitelisting: With the vast number of available applications, it is important to control which apps can be installed on corporate devices. UEM solutions allow for application whitelisting, where only approved applications can be installed on the devices, which helps to prevent the installation of malicious apps or apps that have not been vetted for security. It also ensures that employees are using approved and supported software for their work tasks.

Strategies for deploying MDM and UEM

Before rolling out any MDM or UEM solution, an organization must lay the foundation for effective deployment. By embracing a few key strategies, you can dramatically improve the chances of a successful implementation.

Establish a robust endpoint management policy: With BYOD and work from home (WFH), the risk of company data being compromised increases. Before implementing a UEM solution, an endpoint management policy is essential to ensure that all of your endpoint devices meet specific requirements.

Adopt automation: The future of enterprise device management is automation. From deployment to updates to reporting, an automated device fleet is the optimal solution. Automation helps reduce the manual effort and time spent on managing the devices, thereby increasing efficiency. Automation in Mobile Device Management (MDM) brings numerous benefits and has a variety of use cases. By automating tasks such as device enrolment, configuration, and updates, you can significantly reduce the time and effort required to manage mobile devices. This not only increases efficiency but also reduces the risk of human error, which can lead to security vulnerabilities.

Embrace 5G: The advent of 5G is already transforming the importance of mobile devices. The increased speed and reduced latency offered by 5G will enable more devices to be connected and managed efficiently. The increased speed offered by 5G means data can be transferred between devices and the MDM server much faster, enabling quicker updates, faster deployment of applications, and more efficient data synchronization. For instance, large software updates or security patches can be pushed to devices more quickly, reducing downtime and ensuring devices are protected against the latest threats. Reduced latency means that commands issued from the MDM server to the devices are executed almost in real-time — particularly beneficial in situations where immediate action is required, such as remotely locking or wiping a lost or stolen device.

Outsourcing enterprise mobility management: As the complexity of managing a mobile workforce increases, many organizations are considering outsourcing their enterprise mobility management, allowing them to leverage the expertise of specialized providers and focus on their core business functions.

By incorporating these trends and strategies into your mobile device management plan, you can ensure that your organization is well-equipped to handle the challenges of a mobile, hybrid and WFH workforce.

How AT&T Cybersecurity can help with MDM and UEM

In today’s digital landscape, securing your organization’s endpoints is more crucial than ever. AT&T Cybersecurity offers a range of endpoint security products and services designed to help you protect your laptops, desktops, servers, and mobile devices. AT&T’s unified approach to managing and securing endpoint devices provides better visibility and closes security gaps that may have been overlooked. With AT&T Cybersecurity, you can protect your organization’s reputation, safeguard against key threat vectors, simplify management, and maintain control with Zero Trust.

Don’t wait for a security breach to happen. Take a proactive approach to your organization’s cybersecurity by exploring AT&T’s endpoint security offerings. Whether you need advanced forensic mapping and automated response with SentinelOne, unparalleled visibility into IoT and connected medical devices with Ivanti Neurons for Healthcare, or high-level, end-to-end mobile security across devices, apps, content, and users with IBM MaaS360, AT&T Cybersecurity has a solution tailored to your needs.

The post Mobile Device Management: Securing the modern workplace appeared first on Cybersecurity Insiders.

The content of this post is solely the responsibility of the author.  AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. 

Introduction:

The landscape of cybercrime continues to evolve, and cybercriminals are constantly seeking new methods to compromise software projects and systems. In a disconcerting development, cybercriminals are now capitalizing on AI-generated unpublished package names also known as “AI-Hallucinated packages” to publish malicious packages under commonly hallucinated package names. It should be noted that artificial hallucination is not a new phenomenon as discussed in [3]. This article sheds light on this emerging threat, wherein unsuspecting developers inadvertently introduce malicious packages into their projects through the code generated by AI.

AI-hallucinations:

Artificial intelligence (AI) hallucinations, as described [2], refer to confident responses generated by AI systems that lack justification based on their training data. Similar to human psychological hallucinations, AI hallucinations involve the AI system providing information or responses that are not supported by the available data. However, in the context of AI, hallucinations are associated with unjustified responses or beliefs rather than false percepts. This phenomenon gained attention around 2022 with the introduction of large language models like ChatGPT, where users observed instances of seemingly random but plausible-sounding falsehoods being generated. By 2023, it was acknowledged that frequent hallucinations in AI systems posed a significant challenge for the field of language models.

The exploitative process:

Cybercriminals begin by deliberately publishing malicious packages under commonly hallucinated names produced by large language machines (LLMs) such as ChatGPT within trusted repositories. These package names closely resemble legitimate and widely used libraries or utilities, such as the legitimate package ‘arangojs’ vs the hallucinated package ‘arangodb’ as shown in the research done by Vulcan [1].

The trap unfolds:

When developers, unaware of the malicious intent, utilize AI-based tools or large language models (LLMs) to generate code snippets for their projects, they inadvertently can fall into a trap. The AI-generated code snippets can include imaginary unpublished libraries, enabling cybercriminals to publish commonly used AI-generated imaginary package names. As a result, developers unknowingly import malicious packages into their projects, introducing vulnerabilities, backdoors, or other malicious functionalities that compromise the security and integrity of the software and possibly other projects.

Implications for developers:

The exploitation of AI-generated hallucinated package names poses significant risks to developers and their projects. Here are some key implications:

1. Trusting familiar package names: Developers commonly rely on package names they recognize to introduce code snippets into their projects. The presence of malicious packages under commonly hallucinated names makes it increasingly difficult to distinguish between legitimate and malicious options when relying on the trust from AI generated code.
2. Blind trust in AI-generated code: Many developers embrace the efficiency and convenience of AI-powered code generation tools. However, blind trust in these tools without proper verification can lead to unintentional integration of malicious code into projects.

Mitigating the risks:

To protect themselves and their projects from the risks associated with AI-generated code hallucinations, developers should consider the following measures:

1. Code review and verification: Developers must meticulously review and verify code snippets generated by AI tools, even if they appear to be similar to well-known packages. Comparing the generated code with authentic sources and scrutinizing the code for suspicious or malicious behavior is essential.
2. Independent research: Conduct independent research to confirm the legitimacy of the package. Visit official websites, consult trusted communities, and review the reputation and feedback associated with the package before integration.
3. Vigilance and reporting: Developers should maintain a proactive stance in reporting suspicious packages to the relevant package managers and security communities. Promptly reporting potential threats helps mitigate risks and protect the wider developer community.

Conclusion:

The exploitation of commonly hallucinated package names through AI generated code is a concerning development in the realm of cybercrime. Developers must remain vigilant and take necessary precautions to safeguard their projects and systems. By adopting a cautious approach, conducting thorough code reviews, and independently verifying the authenticity of packages, developers can mitigate the risks associated with AI-generated hallucinated package names.

Furthermore, collaboration between developers, package managers, and security researchers is crucial in detecting and combating this evolving threat. Sharing information, reporting suspicious packages, and collectively working towards maintaining the integrity and security of repositories are vital steps in thwarting the efforts of cybercriminals.

As the landscape of cybersecurity continues to evolve, staying informed about emerging threats and implementing robust security practices will be paramount. Developers play a crucial role in maintaining the trust and security of software ecosystems, and by remaining vigilant and proactive, they can effectively counter the risks posed by AI-generated hallucinated packages.

Remember, the battle against cybercrime is an ongoing one, and the collective efforts of the software development community are essential in ensuring a secure and trustworthy environment for all.

The guest author of this blog works at www.perimeterwatch.com

Citations:

1. Lanyado, B. (2023, June 15). Can you trust chatgpt’s package recommendations? Vulcan Cyber. https://vulcan.io/blog/ai-hallucinations-package-risk
2. Wikimedia Foundation. (2023, June 22). Hallucination (Artificial Intelligence)1. Wikipedia. https://en.wikipedia.org/wiki/Hallucination_(artificial_intelligence)
3. Ji Z, Lee N, Frieske R, Yu T, Su D, Xu Y, et al. Survey of hallucination in natural language generation. ACM Comput Surv. (2023 June 23). https://doi.org/10.1145/3571730

The post Code Mirage: How cyber criminals harness AI-hallucinated code for malicious machinations appeared first on Cybersecurity Insiders.

The content of this post is solely the responsibility of the author.  AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. 

How can you effectively manage a security budget in a recession? An economic downturn will likely impact your team, so you must prepare to balance your cybersecurity needs with your spending limits.

How will a recession impact security teams?

Cyber attacks become more common during recessions because potential insider threats and fraud cases increase. On top of the risks, you likely must deal with reduced budgets and staff. Less flexible spending usually means you have to take on larger workloads.

In addition, you face increased risk from anyone who was let go due to the economic downturn. They know your organization’s security vulnerabilities and how to exploit them if they want to retaliate. Cybercrime also gives them an opportunity to utilize their skills for financial gain. You must effectively manage your budget to prepare for such effects.

Preparing security budgets for a recession

Your organization will likely cut or limit your security budget, so you must prepare to handle increased security threats with less flexible spending. The key to an adequate long-term solution is to consider the returns you’ll get for each investment.

•  Consider a loan

Getting a loan to boost your security budget may be a good approach if you need more flexibility with your expenses. However, you must be aware of transaction types to navigate the complexities of borrowing adequately. For example, hindering is the practice of keeping assets from creditors, which is fraud. Establish a relationship with a trustworthy lender before committing. In addition, you should ensure you fully understand your contract and repayment responsibilities.

•  Get cyber insurance

Cyber insurance is a great consideration. You can justify the expense because a recession puts you at greater risk for data breaches and network intrusions. Since it typically covers damages, information restoration and incident response, it can put you in a better place financially.

•  Prioritize spending

Prioritizing cybersecurity spending is the first step you should take to prepare your team for an economic downturn. Identify your compliance and essential security needs, and determine how to support them with a smaller budget. You can then take inventory of your technology and labor necessities and decide how to allocate funds properly.

•  Analyze technology needs

You can only effectively manage your security budget if you fully understand what you’re working with. Take inventory of the hardware and software you possess, and categorize it. Even if you don’t have to cut your existing equipment, doing so may give you future spending flexibility. Identify what is essential to your team and isn’t, then decide what you can efficiently operate without.

In addition to potentially saving you money in the long term, taking note of your equipment can inform your security decisions. For example, your cloud platform may be helpful for storage purposes but can also open you up to unique risks. Since everything is a potential attack surface, you may be better off operating with only the essentials.

Assessing your technology may help you optimize spending, as well. You can recognize security gaps more quickly when you have an accurate inventory. It also allows you to patch, update and manage devices, reducing the chance of experiencing an expensive breach.

Effectively budgeting during a recession

Preparation is crucial, but continuous budget management is essential. You’ll have to routinely reevaluate your security spending to align with the recession’s effects.

•  Leverage automation

Automating workflows with artificial intelligence (AI) is an excellent solution if you have large workloads or need more staff. It can complete tasks in seconds without your input or assistance, so you can let it run on its own while focusing on more essential duties. Despite its speed, its decisions are accurate because they’re data-driven. While AI may require a larger initial investment, it’s usually worth it.

On top of reducing labor expenses, it can save your team money when handling security issues. Organizations using automation and AI saved over $3 million during data breaches and controlled them 74 days earlier than those without the technology. It allows for more flexibility in your department’s budget because dealing with situations becomes more affordable. Since it can also scale with your needs, you can adjust its involvement as necessary.

•  Increase training

Training is essential since human error causes 95% of cybersecurity issues for organizations. You only need to spend on labor, which can be an effective strategy. Your department’s budget may be limited, but consider the benefits of allocating funds toward upskilling. It can inform your team of potential risks during the recession. Also, it can better prepare them to respond to security threats — a critical factor for those dealing with high workloads or understaffing.

•  Focus on employee retention

The cybersecurity skills shortage is a significant factor to consider because you’ll likely see its impact during the recession. The longer it goes on, the more you may feel its effects. Employee retention is essential to mitigate this challenge.

You could use a multi-layered security architecture to make your role manageable. It’s a cost-effective approach to reducing burnout and simplifying tech stacks — some of the main ways to keep your team productive.

Balancing security and spending

A recession may limit your budget, but you can continue to provide security to your organization if you manage it effectively. Ensure you understand your equipment needs, prioritize spending and stabilize your team’s workload.

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For anyone who follows industry trends and related news I am certain you have been absolutely inundated by the torrent of articles and headlines about ChatGPT, Google’s Bard, and AI in general. Let me apologize up front for adding yet another article to the pile. I promise this one is worth a read, especially for anyone looking for ways to safely, securely, and ethically begin introducing AI to their business. On June 20th the International Association of Privacy Professionals (IAPP) released a new body of knowledge (BOK) for their soon-to-be-released Artificial Intelligence Governance Professional Certification (AIGP). This first-of-its-kind certification covers a series of knowledge areas, which I’ll explore later in this post. It’s of great value to any professional interested in implementing or managing AI, or simply curious about the field.

The field is booming with new tools, ideas, and use-cases being developed by the hour (at least that’s how it seems sometimes). Several companies, IBM being the most prolific, have also released several technical certifications aimed at the creation and refinement of AI. There are not, however, any certifications aimed at business leaders or non-technical professionals, the people who will approve and use AI in their day-to-day tasks. At least there weren’t until the IAPP announced their new AIGP certification, that is.

Introduction to the IAPP, and the AIGP knowledge areas

While the IAPP is the de facto leader in the industry when it comes to privacy certifications, I recognize not everyone may be familiar with them or their offerings. The IAPP was founded in 2000 and currently offers a suite of certifications aimed at professionals, including lawyers, who work with data privacy or governance. Their key offerings include the Certified Information Privacy Professional series (including individual certifications on European, Canadian, and American privacy laws), the Certified Information Privacy Manager, Certified Information Privacy Technologist, as well as a few others. The AIGP is a brand-new offering that hasn’t been fully released yet beyond the newly posted BOK.

The AIGP covers seven different domains that range from fundamental components of AI, all the way to development lifecycles and risk management. The topics on the exam will allow professionals to showcase their knowledge of both AI as a field of study and a technology, but also how to effectively manage it within an organization. Learning what you need to know to pass the test will create an excellent foundation and equip you to identify and leverage opportunities when they appear, and manage risks when they invariably crop up. I’ve listed the seven domains below:

1. Understanding the Foundations of Artificial Intelligence
2. Understanding AI Impacts and Responsible AI Principles
3. Understanding How Current Laws Apply to AI Systems
4. Understanding the Existing and Merging AI Laws and Standards
5. Understanding the AI Development Life Cycle
6. Implementing Responsible AI Governance and Risk Management
7. Contemplating Ongoing Issues and Concerns

Conclusion

While the certification itself isn’t out quite yet, I highly recommend you visit the IAPP’s website and take a look at the AIGP’s BOK. This will give you a good idea of what you can expect to see on the exam and let you begin preparing while we wait for the official training material to be released. I reached out to the IAPP for more information and was informed that additional training material to support this certification is planned for a Q4 release later this year.

This certification promises to become a milestone in the realm of AI governance, effectively bridging the gap between those with deep technical knowledge and non-technical business leaders. As the presence and use of AI becomes more pervasive, being able to understand its governance, risks, and ethical implications is no longer a luxury, but a necessity. This certification is going to be a vital first step towards achieving that understanding. I’ll continue to follow the development of the AIGP and provide more insights as new information becomes available.

The post Artificial Intelligence Governance Professional Certification – AIGP appeared first on Cybersecurity Insiders.

The content of this post is solely the responsibility of the author.  AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. 

As organizations across every sector come to rely more and more heavily on digital data storage, digital work platforms, and digital communications, cyber attacks are becoming increasingly common. Enterprising cyber attackers see opportunities abound with the widespread digital transformation across industries. Social engineering cyber attacks present a particularly potent threat to organizations. 

In this article, we will take a look at why training your employees to become aware of social engineering cyber attacks is key to protecting your business. We will explore the most common forms of social engineering attacks. Finally, we’ll also share key actionable advice to help educate and defend your employees against social engineering schemes. 

Why cybersecurity awareness is important

Oftentimes the most vulnerable element in any organization’s cybersecurity defense system is an unaware employee. When someone does not know the common features of a social engineering cyber attack they can easily fall for even the most widespread cyber attack schemes. 

Educating employees on signs to look out for that might indicate a hidden cyberattack attempt and training employees on security policies and appropriate responses is essential to creating a resilient company-wide cybersecurity policy. 

Three common types of social engineering attacks

To understand how to identify, trace, and respond to social engineering cyber attacks, it is important to get to know the most common forms that social engineering attacks can take. 

A social engineering attack occurs when a bad actor contacts an unsuspecting individual and attempts to trick them into providing sensitive information (such as credit card details or medical records) or completing a particular action (such as clicking on a contaminated link or signing up for a service). 

Social engineering attacks can be conducted over the phone, or via email, text message, or direct social media message. Let’s take a look at the three most common types of social engineering cyber attacks:

• Phishing

Phishing is a type of social engineering attack that has bad actors posing as legitimate, and oftentimes familiar, contacts to extort valuable information from victims, such as bank account details or passwords. 

Phishing attacks can come in the form of emails claiming to be from legitimate sources- such as a government body, software company you use, or relative. Bad actors can hack someone’s legitimate account, making the communication seem more convincing, or they can impersonate an official organization, copying their logo and content style. 

• Pretexting

Pretexting attacks occur when a bad actor invents a story to gain an unsuspecting victim’s trust. The bad actor then uses this trust to trick or convince the victim into sharing sensitive data, completing an action, or otherwise accidentally causing harm to themselves or their affiliated organizations. 

Bad actors may use pretexting to manipulate an individual into downloading malware or compromised software, sending money, or providing private information, including financial details. 

• Baiting

Baiting is a similar type of social engineering attack to pretexting. While in a pretexting attack the bad actor lulls a victim into a sense of false security with a compelling narrative, a baiting attack uses enticing promises to trick a victim into completing an action or providing information. 

Essentially baiting involves a bad actor setting a trap for victims. This trap could be an email attachment or file sent through social media messaging that at first seems legitimate, but includes malware. Victims may not even be aware that they have fallen for a baiting scheme, as the malware could be downloaded onto their device without them knowing about it. Bad actors can also use baiting to steal bank details or other personal data from victims. 

How to educate employees to recognize social engineering attacks

Each employee should be able to adequately recognize and respond to social engineering attack attempts; when every employee knows how to do this your organization will have a robust level of human security defending the organization against cyber breaches. 

• Conduct regular security awareness training

Make sure that cybersecurity is a priority for employee education. The more your employees are reminded of the importance of cybersecurity, the more likely they will be to remember the correct course of action to take in the event of an attack attempt. Include cybersecurity information posters on the walls of your office, upon which you can try integrating QR codes to provide a multimedia and more secure way for employees to access this information while on the go. 

Encourage employees to read up on the latest cybersecurity protocols and attack methods. And schedule regular mandatory cybersecurity training sessions to refresh employees on how to stay vigilant against cyber attacks and where to report suspicious activity when it occurs. 

• Utilize Multi-factor Authentication

Multi-factor Authentication, or MFA, maintains a higher level of security against each attempt to access your company networks and files. Multi-factor authentication can require employees to answer security questions, provide a one-time-only code that is sent to their email or phone number, or pass through secure restricted access digital gateways using another method that verifies their identity and right to access that digital space. 

With multi-factor authentication in place, hackers who successfully access one employee’s phone number, login info, or email address will still not be able to compromise the security of the entire organization. 

Track company KPIs

Your organization should create a shared checklist that employees can consult and reference in the event of a suspected (or successful) cybersecurity breach. 

This document should contain all relevant security KPIs, or key performance indicators, that provide measurable metrics. Employees will be able to trace and evaluate the robustness of your organization’s security system based on whether or not these individual metrics are performing at the appropriate level. 

• Implement strong password requirements

Ensure that every employee is maintaining good password hygiene. Each employee should utilize a unique combination of letters, numbers, and symbols, including both uppercase and lowercase levels. 

Employees should never use the same password for multiple accounts, and they should avoid using any phrases or words that may be easy for hackers to guess. Birthdays, anniversaries, pet names, and song lyrics should never be used as passwords. 

• Establish company-wide cybersecurity policies

Confusion about your organization’s expectations and standards can lead to further weak spots, vulnerable points, and openings for enterprising cyber attackers to exploit. Make sure every employee has a clear understanding of company policies surrounding cybersecurity. 

Organizations that are hiring freelance employees, for example, will need to be on extra high alert. Freelancers or independent contractors your company works with may not always comply with the basic security guidelines and expectations that full-time employees hold to. 

To avoid this, establish clear cybersecurity expectations from the start of the professional working relationship by laying out cybersecurity policies in the freelancer contract. Look for freelancing contract templates that come with flexible customization options, so you can be sure to include the relevant section about cybersecurity policy agreements for freelancers and contractors. 

• Use common sense

It may sound obvious, but following up on a hunch to double-check whether or not an offer or request seems legitimate is a great way to defend against social engineering scams. If you receive an email that seems suspicious, for example, try contacting the original sender- whether that was a colleague, a friend, or a company. Use another method to contact them and double-check whether it was indeed them trying to contact you. 

If a request seems suspect, there is a good chance it is a scam. If a bad actor is trying to scam you, then taking the extra time to verify can save you hours of cleanup, not to mention financial damages and reputation loss. Employees can report suspicious phone calls or text messages directly to their phone carriers, who may be able to track the perpetrator and restrict their access. Or employees can file a complaint with the FBI Internet Crime Complaint Center. 

Final thoughts

Defending against sophisticated social engineering attacks can be a daunting challenge for any organization. The best method of protecting sensitive data and preventing unwanted access to restricted organization networks is to implement a multilayered approach to cybersecurity. 

Provide each employee with the training and education that will eliminate accidental individual cybersecurity slip-ups and you will have a more robust, well-rounded, and dynamic cybersecurity defense system. 

Make use of common sense, encourage employees to report suspicious activity, conduct frequent employee security training sessions, track KPIs with shared checklists, and establish clear company-wide security policies. Ensure that every employee knows how to create a secure password, and set up multi-factor authentication procedures. 

With a highly aware workforce, your organization will be better equipped to prevent phishing, pretexting, baiting schemes, and other forms of social engineering cyber attacks.

The post The human element of Cybersecurity: Nurturing a cyber-aware culture to defend against social engineering attacks appeared first on Cybersecurity Insiders.

The content of this post is solely the responsibility of the author.  AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. 

Data Security Posture Management (DSPM) plays a critical role in identifying security risks, prioritizing misconfigurations, and implementing a zero-trust framework. It is an emerging technology, and there are only a few capable solutions that provide good product offerings. Check out the list of some of the best DSPM platforms that can be considered to streamline data protection, governance, and compliance efforts.

Top Data Security Posture Management (DSPM) tools to watch

1. Securiti DSPM

Securiti DSPM ranks at the top on Gartner’s list of DSPM platforms in this category. Gartner has given a rating of 4.7 which is the highest amongst other products. The tool is built to protect an organization’s data, especially sensitive data, everywhere. The platform covers data in numerous environments and across various formats, such as structured and unstructured data systems.

Users can gain visibility of their data at rest and in motion across public, private, hybrid, and multi-cloud systems. The solution also covers SaaS environments which is a plus since traditionally, DSPM covers only public clouds. The solution leverages AI/ML-powered sensitive data insights to streamline their data governance strategy, data lineage, access policies and controls, and privacy operations, such as cross-border transfer policies.

2.  Symmetry DataGuard

Symmetry DataGuard comes second to Securiti in ranking and rating as well. The DSPM solution has received a 4.6 rating in the Product Capabilities and Customer Experience categories. It delivers real-time data protection. With visibility of data and advanced analytics, security teams can not only ensure data security but also availability and integrity. Users can leverage that granular information to power their IAM engines to implement effective data controls, access, and permission.

Symmetry DataGuard can be an expensive and you’ll need to invest time to understand the product because of its extensive capabilities and features.

3. Sentra

Sentra’s DSPM platform is built for speed and efficiency. The platform offers agentless discovery, which means that data doesn’t leave an organization’s secure environment, and hence there’s zero disruption to the productivity of teams.

Another important aspect of Sentra’s DSPM solution is that it is easy to implement and scale. It further offers great integration capability and thus enables organizations to integrate with various ecosystems for discovering data.

4.  Dig Security Platform

Up to 77% of users would recommend Dig Security Platform, suggests Gartner. The DSPM platform has garnered a 4.2 rating on the review platform. The tool can help security and data teams to effectively identify and discover data and perform accurate categorization and classification.

The data detection and response capabilities of the solution further ensure robust data protection. Teams can have a complete understanding of their data spread across physical and virtual databases and protect sensitive data from security risks, such as data exfiltration, ransomware, and shadow data.

5.  Flow Security

Flow Security covers a large set of environments to discover all data of an organization. For instance, the solution can scan through on-prem infrastructure, multiple cloud environments, SaaS applications, and other self-managed databases.

The ML capabilities enable data teams to discover and classify data elements across structured and unstructured formats. The tool can further discover security vulnerabilities and track them for remediation.

6. Laminar

Laminar is another emerging solution provider that offers a DSPM platform. The platform offers an agile DSPM solution that delivers speed, accuracy, and efficiency. The tool has received a 4.1 rating by reviewers. Data teams can leverage the platform to gain the required data insights of their multi cloud and SaaS environments.

Various controls can be configured to enable robust data protection in the cloud, such as risk discovery and management, access policies, governance framework optimizations, and compliance management. Since Laminar has a lot of room for improvement, you may find the platform lacking in the department of scalability, which is a must for large-scale data-driven organizations.

7. TrustLogix

TrustLogix cloud data security platform, as the name suggests, is built for the cloud to gain data visibility and optimize controls around security, governance, and compliance. The DSPM platform is built for the cloud, and it can be deployed swiftly. It can be connected to a variety of cloud-native environments along with self-managed clouds and SaaS applications.

It doesn’t require access to the data, but it only scans for schemas and configuration metadata. TrustLogix further reviews the log files to detect any anomalies related to sensitive data access for enhanced protection.

8. Cyera

Cyera Platform is a well-trusted DSPM solutions provider in the industry. It provides organizations with comprehensive information on their sensitive data, geographies, and data access controls.

Its DSPM solution covers a lot of ground when it comes to ecosystems in that it can discover data in IaaS, PaaS, self-managed databases, managed databases, as well as DBaaS environments.

9. Concentric

The Concentric Semantic Intelligence product delivers DSPM capabilities to help businesses and security teams find their most important data, find security gaps, and prevent unauthorized access.

The complex ML capabilities of Concentric’s functionalities allow autonomous discovery of the data across a business’s data environment and classify a wide number of data elements, such as PCI data, PHI data, and PII data.

10. Veza

Veza’s DSPM solution provides businesses with a powerful vulnerability management system that allows them to discover identities and mitigate risks. The solution can be integrated with a number of cloud and SaaS systems, such as Okta, Slack, OneLogin, GitHub, GitLab, AWS, OCI, AWS DynamoDB, and GCP, to name a few.

11. BigID

BigID ranks as one of the top cloud data management solutions, and they are now also offering a DSPM solution. The solution comes with a decent data discovery and classification engine that categorizes data across different formats and systems. The solution can further identify and track data security risks, help optimize data access policies across roles and users, and enhance security posture.

12. Fasoo

Data Radar is Fasoo’s product that offers DSPM capabilities. The DSPM platform can replace a traditional data loss prevention solution with an advanced DSPM tool, offering powerful discovery and classification capabilities along with access controls and policies, and risk assessment.

13. Normalyze

With Normalyze DSPM platform, you can search, identify, and categorize data in your Google, Azure, and AWS data clouds. You can sift through data in cloud-native environments across various data formats.

14. OneTrust

OneTrust is also a well-known DSPM provider. The solution provides data discovery, classification, and inventorying. You can use the tool to discover security gaps and enhance access controls to implement a zero-trust framework.

15. Open Raven

Open Raven has a wide range of functionalities that can optimize data security posture. Its DSPM platform can enable businesses to discover and classify data, assess security posture risks, optimize controls, and implement guardrails to meet compliance.

Final thoughts

In today’s data-driven era, finding the best DSPM platform is crucial for businesses to safeguard data against cyber threats and derive business value while meeting compliance. So, go through the provided list of DSPM platforms and pick the best one to meet your business objectives.

The post Top 15 Data Security Posture Management (DSPM) platforms for 2023 appeared first on Cybersecurity Insiders.

The content of this post is solely the responsibility of the author.  AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. 

Preventing data loss is a concern for almost every organization, regardless of size, especially organizations with sensitive data.  Organizations, now more than ever before, rely on voluminous amounts of data to conduct business. When data leakage or a breach occurs, the organization is forced to deal with the negative consequences, such as the high cost associated with data breach fines and remediation and reputational harm to their company and brand. 

Data loss prevention (DLP) solutions help mitigate the risk of data loss. Losses can occur as a result of insider-related incidents (e.g., employee theft of proprietary information), or due to physical damage to computers, or as a result of human error (e.g., unintentional file deletion or sharing sensitive data in an email). In addition to the various ways an organization might experience data loss, mitigating the risk of loss requires the right people, processes, and technology.

Meeting the technology requirement can be a challenge when it comes to selecting the right DLP solution. During the vendor exploration and evaluation phases, there may be questions about whether it makes sense to invest in a solution that protects the network, endpoints, or the cloud or whether it’s better to select a solution that protects the enterprise and takes into account the hybrid nature of many organizations.

Data classification and labeling

The decision to invest in a DLP solution should be informed by sufficient research and planning with key stakeholders. This blog will discuss three additional things you should consider before making such an investment. Let’s begin with the types of data an organization collects, stores, and analyzes to conduct business. 

To have a successful data loss prevention program, it’s important to identify all types of data (e.g., financial data, health data, or personally identifiable information) and to classify the data according to its value and the risk to the organization if it is leaked or exfiltrated. Data classification is the process of categorizing data to easily retrieve and store it for business use. It also protects it from loss and theft and enables regulatory compliance activities. Today, systems are more dispersed, and organizations have hybrid and remote workforce models, so it is critical to protect data regardless of where it resides or with whom it is shared. This kind of protection requires properly classified and labeled data.

Automated data classification is foundational to preventing data loss. It is the best way for organizations to fully understand what types of data they have, as well as the characteristics of the data and what privacy and security requirements are necessary to protect the data. Properly classifying data also enables the organization to set policies for each data type.

Techniques to identify sensitive data

DLP solutions detect instances of either intentional or unintentional exfiltration of data. DLP policies describe what happens when a user uses sensitive data in a way the policy does not allow. For example, when a user attempts to print a document containing sensitive data to a home printer, the DLP policy might display a message stating that printing the document to a home printer violates the policy and is not permissible. How does the DLP tool know that the document includes sensitive data? Content inspection techniques and contextual analysis help identify sensitive data. 

The inspection capability of the DLP solution is very important. It’s important to note that traditional DLP solutions focus on data-specific content inspection methods. These inspection methods are no longer effective for organizations that have migrated to the cloud because the techniques were developed for on-premises environments. Gartner recommends investing in a DLP solution that not only provides content inspection capabilities but also offers extra features such as data lineage for visibility and classification, user, and entity behavior analytics (UEBA), and rich context for incident response. UEBA is useful for insider-related incidents (e.g., UEBA might help identify data exfiltration by a dissatisfied employee). 

What actions will the DLP solution perform

After it’s clear that the tool can classify sensitive data, a logical next question is what actions the tool will perform to prevent loss of that data. A DLP solution performs actions such as sending out alerts for DLP policy violations, warnings using pop-up messages, and blocking data entirely to prevent leakage or exfiltration. Another feature might include quarantining data. Organizations should be able to define their policies based on their policy, standards, controls, and procedures. 

Traditional DLP relies heavily on content analysis and does not always accurately identify sensitive data. Sometimes traditional tools block normal activity. In contrast, a modern DLP solution minimizes false positives by combining content analysis and data lineage capabilities to more accurately understand whether the data is sensitive.    

Conclusion   

There are many DLP tools on the market. A DLP solution might also be a capability in another security tool such as an email security solution. Selecting the right tool requires knowledge of market trends, the gap between traditional and modern DLP tools, data loss prevention best practices, and the purchasing organization’s security initiatives and goals. Given the many options and variables to consider, it can be challenging to understand the nuances and distinctions among solutions on the market.    

The post What your peers want to know before buying a DLP tool appeared first on Cybersecurity Insiders.

The content of this post is solely the responsibility of the author.  AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. 

In the realm of digital forensics and incident response, the analysis of volatile memory, commonly referred to as RAM (Random Access Memory), plays a pivotal role in extracting crucial evidence and uncovering valuable information. RAM dump – the process of capturing the contents of a computer’s memory, is a vital step in preserving volatile data for forensic examination. This article aims to shed light on the importance of RAM dump in digital investigations and provide insights into the process involved.

The significance of RAM dump

• Volatile nature of RAM: RAM is a volatile form of memory that holds data temporarily while a computer is powered on. Once the system is shut down, the contents of RAM are lost. Therefore, capturing a RAM dump becomes essential to preserve valuable evidence that may not be available through traditional disk-based analysis.
• Dynamic and live information: RAM contains real-time information about running processes, active network connections, open files, encryption keys, passwords, and other critical artifacts. Analyzing the RAM dump allows forensic investigators to access this dynamic and live information, providing insights into the state of the system at the time of the incident.
• Uncovering hidden or encrypted data: RAM often holds data that may not be easily accessible through traditional file system analysis. It can reveal information about active malware, hidden processes, encrypted data in memory, or remnants of deleted files, offering a wealth of evidence that can be crucial to an investigation.

The RAM dump process

• Acquiring a RAM dump: To perform a RAM dump, specialized tools or techniques are used to capture the contents of RAM. Common methods include physical access and utilizing software tools designed for memory acquisition. Physical access allows directly connecting to the computer’s memory modules, while software tools can acquire RAM remotely or by creating a memory image from a hibernation file.
• Preserving data integrity: It is essential to ensure the integrity of the RAM dump during acquisition to maintain its evidentiary value. This involves utilizing write-blocking mechanisms, verifying the integrity of the acquired image, and documenting the entire process to establish a proper chain of custody.
• Analyzing the RAM dump: Once the RAM dump is acquired, it can be analyzed using specialized software tools designed for memory forensics. These tools enable investigators to extract information, identify running processes, recover artifacts, and search for patterns or indicators of compromise.
• Extracting volatile data: The RAM dump analysis involves extracting volatile data such as active network connections, running processes, loaded drivers, registry information, file handles, and other artifacts. This data can be used to reconstruct the system’s state, identify malicious activities, or uncover hidden information.
• Memory carving and artifacts recovery: Memory carving techniques are employed to search for specific file types or artifacts within the RAM dump. This process involves identifying file headers or signatures and reconstructing files from the memory image. This can be particularly useful in recovering deleted or encrypted files.

RAM dumps can be acquired using specialised tools like FTK Imager and Magnet Ram Capturer (both of which are available for free) or the analysis can be done using specialised tools or Open source frameworks like Volatility Framework.

Let’s take a look on how to acquire a RAM dump and registry files using FTK Imager.

To acquire RAM and registry files, please follow these steps:

• Download FTK imager from here.
• Follow the installation steps.
• Once installed, Run FTK imager and select Capture memory option from toolbar menu as shown in screenshot:

Alternatively, you can select Capture memory from the File dropdown menu inside FTK Imager as illustrated in screenshot below:

Once you select Capture memory, provide a destination path where you wish to save the dump file. Alternatively, you can select to include pagefile. After that, the process of capturing memory will begin.

You will receive a pop up once the process is finished.

Since I chose to capture memory as well as pagefile I will have two files available.

The file with the name “memdump.mem” is the RAM capture file.

You can take the dump file to analyze as required on your forensics workstation.

Best practices and considerations

• Timeliness and live analysis: RAM dump acquisition should be performed as soon as possible to capture the volatile data before it gets overwritten or lost. Additionally, live analysis of the RAM dump can provide real-time insights into ongoing activities and help mitigate immediate threats.
• Privacy and legal considerations: Collecting and analyzing a RAM dump may involve accessing sensitive user data or private information. It is crucial to follow legal procedures, obtain proper authorization, and adhere to privacy laws and regulations to ensure compliance and protect the rights of individuals involved.
• Proper training and expertise: RAM analysis requires specialized knowledge and skills in memory forensics. Forensic investigators should undergo proper training and continuously update their expertise to effectively handle RAM dump acquisition and analysis.

Conclusion

RAM dump acquisition and analysis are vital components of digital forensics and incident response investigations. The volatile nature of RAM and the real-time information it holds make RAM dump an invaluable source of evidence. By understanding the importance of RAM dump and following proper acquisition and analysis procedures, forensic investigators can uncover hidden data, identify malicious activities, and reconstruct the system’s state during an incident.

However, it is essential to stay updated with evolving technologies, legal considerations, and best practices in RAM analysis to ensure the integrity and effectiveness of the process. Ultimately, RAM dump plays a critical role in modern digital investigations, helping investigators piece together the puzzle and provide essential insights for resolving cases.

The post RAM dump: Understanding its ­­­importance and the process appeared first on Cybersecurity Insiders.