Generative AI | Breaking Cybersecurity News | The Hacker News

Did you know that 79% of organizations are already leveraging Generative AI technologies? Much like the internet defined the 90s and the cloud revolutionized the 2010s, we are now in the era of Large Language Models (LLMs) and Generative AI. The potential of Generative AI is immense, yet it brings significant challenges, especially in security integration. Despite their powerful capabilities, LLMs must be approached with caution. A breach in an LLM's security could expose the data it was trained on, along with sensitive organizational and user information, presenting a considerable risk. Join us for an enlightening session with Elad Schulman, CEO & Co-Founder of Lasso Security, and Nir Chervoni, Booking.com's Head of Data Security. They will share their real-world experiences and insights into securing Generative AI technologies. Why Attend? This webinar is a must for IT professionals, security experts, business leaders, and anyone fascinated by the future of Generati...

Large language models (LLMs) powering artificial intelligence (AI) tools today could be exploited to develop self-augmenting malware capable of bypassing YARA rules. "Generative AI can be used to evade string-based YARA rules by augmenting the source code of small malware variants, effectively lowering detection rates," Recorded Future  said  in a new report shared with The Hacker News. The findings are part of a red teaming exercise designed to uncover malicious use cases for AI technologies, which are  already being experimented  with by threat actors to create malware code snippets, generate phishing emails, and conduct reconnaissance on potential targets. The cybersecurity firm said it submitted to an LLM a known piece of malware called  STEELHOOK  that's associated with the APT28 hacking group, alongside its YARA rules, asking it to modify the source code to sidestep detection such that the original functionality remained intact and the gene...

What do identity risks, data security risks and third-party risks all have in common? They are all made much worse by SaaS sprawl. Every new SaaS account adds a new identity to secure, a new place where sensitive data can end up, and a new source of third party risk. Learn how you can protect this sprawling attack surface in 2025. What do identity risks, data security risks and third-party risks all have in common? They are all made much worse by SaaS sprawl. Every new SaaS account adds a new identity to secure, a new place where sensitive data can end up, and a new source of third-party risk. And, this growing attack surface, much of which is unknown or unmanaged in most orgs, has become an attractive target for attackers. So, why should you prioritize securing your SaaS attack surface in 2025? Here are 4 reasons. ‍ 1. Modern work runs on SaaS. When's the last time you used something other than a cloud-based app to do your work? Can't remember? You're not alone.  Outside of ...

As many as 100 malicious artificial intelligence (AI)/machine learning (ML) models have been discovered in the Hugging Face platform. These include instances where loading a  pickle file  leads to code execution, software supply chain security firm JFrog said. "The model's payload grants the attacker a shell on the compromised machine, enabling them to gain full control over victims' machines through what is commonly referred to as a 'backdoor,'" senior security researcher David Cohen  said . "This silent infiltration could potentially grant access to critical internal systems and pave the way for large-scale data breaches or even corporate espionage, impacting not just individual users but potentially entire organizations across the globe, all while leaving victims utterly unaware of their compromised state." Specifically, the rogue model initiates a reverse shell connection to 210.117.212[.]93, an IP address that belongs to the Korea Research...

Microsoft has released an open access automation framework called  PyRIT  (short for Python Risk Identification Tool) to proactively identify risks in generative artificial intelligence (AI) systems. The red teaming tool is designed to "enable every organization across the globe to innovate responsibly with the latest artificial intelligence advances," Ram Shankar Siva Kumar, AI red team lead at Microsoft,  said . The company said PyRIT could be used to assess the robustness of large language model (LLM) endpoints against different harm categories such as fabrication (e.g., hallucination), misuse (e.g., bias), and prohibited content (e.g., harassment). It can also be used to identify security harms ranging from malware generation to jailbreaking, as well as privacy harms like identity theft. PyRIT comes with five interfaces: target, datasets, scoring engine, the ability to support multiple attack strategies, and incorporating a memory component that can either take ...

Italy's data protection authority (DPA) has notified ChatGPT-maker OpenAI of supposedly violating privacy laws in the region. "The available evidence pointed to the existence of breaches of the provisions contained in the E.U. GDPR [General Data Protection Regulation]," the Garante per la protezione dei dati personali (aka the Garante)  said  in a statement on Monday. It also said it will "take account of the work in progress within the ad-hoc  task force  set up by the European Data Protection Framework (EDPB) in its final determination on the case." The development comes nearly 10 months after the watchdog imposed a  temporary ban  on ChatGPT in the country, weeks after which OpenAI  announced  a number of privacy controls, including an  opt-out form  to remove one's personal data from being processed by the large language model (LLM). Access to the tool was subsequently reinstated in late April 2023. The Italian DPA said the lat...

In nearly every segment of our lives, AI (artificial intelligence) now makes a significant impact: It can deliver better healthcare diagnoses and treatments; detect and reduce the risk of financial fraud; improve inventory management; and serve up the right recommendation for a streaming movie on Friday night. However, one can also make a strong case that some of AI's most significant impacts are in cybersecurity. AI's ability to learn, adapt, and predict rapidly evolving threats has made it an indispensable tool in protecting the world's businesses and governments. From basic applications like spam filtering to advanced predictive analytics and AI-assisted response, AI serves a critical role on the front lines, defending our digital assets from cyber criminals. The future for AI in cybersecurity is not all rainbows and roses, however. Today we can see the early signs of a significant shift, driven by the democratization of AI technology. While AI continues to empower organizations ...

Generative AI will enable anyone to launch sophisticated phishing attacks that only Next-generation MFA devices can stop The least surprising headline from 2023 is that ransomware again set new records for a number of incidents and the damage inflicted. We saw new headlines every week, which included a who's-who of big-name organizations. If MGM, Johnson Controls, Chlorox, Hanes Brands, Caesars Palace, and so many others cannot stop the attacks, how will anyone else? Phishing-driven ransomware is the cyber threat that looms larger and more dangerous than all others. CISA and Cisco report that 90% of data breaches are the result of phishing attacks and monetary losses that exceed $10 billion in total. A report from Splunk revealed that 96 percent of companies fell victim to at least one phishing attack in the last 12 months and 83 percent suffered two or more. Protect your organization from phishing and ransomware by learning about the benefits of Next-Generation MFA. Download th...

The Russia-linked influence operation called Doppelganger has targeted Ukrainian, U.S., and German audiences through a combination of inauthentic news sites and social media accounts. These campaigns are designed to amplify content designed to undermine Ukraine as well as propagate anti-LGBTQ+ sentiment, U.S. military competence, and Germany's economic and social issues, according to a new Recorded Future report shared with The Hacker News. Doppelganger ,  described  by Meta as the "largest and the most aggressively-persistent Russian-origin operation," is a  pro-Russian network  known for spreading anti-Ukrainian propaganda. Active since at least February 2022, it has been linked to two companies named Structura National Technologies and Social Design Agency. Activities associated with the influence operation are known to leverage manufactured websites as well as those impersonating authentic media – a technique called brandjacking – to disseminate adversarial n...

Microsoft Copilot has been called one of the most powerful productivity tools on the planet. Copilot is an AI assistant that lives inside each of your Microsoft 365 apps — Word, Excel, PowerPoint, Teams, Outlook, and so on. Microsoft's dream is to take the drudgery out of daily work and let humans focus on being creative problem-solvers. What makes Copilot a different beast than ChatGPT and other AI tools is that it has access to everything you've ever worked on in 365. Copilot can instantly search and compile data from across your documents, presentations, email, calendar, notes, and contacts. And therein lies the problem for information security teams. Copilot can access all the sensitive data that a user can access, which is often far too much. On average, 10% of a company's M365 data is open to all employees. Copilot can also rapidly generate  net new  sensitive data that must be protected. Prior to the AI revolution, humans' ability to create and share data ...

Welcome to a world where Generative AI revolutionizes the field of cybersecurity. Generative AI refers to the use of artificial intelligence (AI) techniques to generate or create new data, such as images, text, or sounds. It has gained significant attention in recent years due to its ability to generate realistic and diverse outputs. When it comes to security operations,  Generative AI can play a significant role . It can be used to detect and prevent various threats, including malware, phishing attempts, and data breaches. Analyzing patterns and behaviors in large amounts of data allows it to identify suspicious activities and alert security teams in real-time. Here are seven practical use cases that demonstrate the power of Generative AI. There are more possibilities out there of how you can achieve objectives and fortify security operations, but this list should get your creative juices flowing. 1) Information Management Information security deals with a breadth of data t...

Here is what matters most when it comes to artificial intelligence (AI) in cybersecurity: Outcomes.  As the threat landscape evolves and  generative AI is added  to the toolsets available to defenders and attackers alike, evaluating the relative effectiveness of various  AI-based security  offerings is increasingly important — and difficult. Asking the right questions can help you spot solutions that deliver value and ROI, instead of just marketing hype. Questions like, "Can your predictive AI tools sufficiently block what's new?" and, "What actually signals success in a cybersecurity platform powered by artificial intelligence?" As BlackBerry's AI and ML (machine learning) patent portfolio attests, BlackBerry is a leader in this space and has developed an exceptionally well-informed point of view on what works and why. Let's explore this timely topic. Evolution of AI in Cybersecurity Some of the earliest uses of ML and AI in cybersecurity date back to th...

Google has announced that it's expanding its Vulnerability Rewards Program ( VRP ) to compensate researchers for finding attack scenarios tailored to generative artificial intelligence (AI) systems in an effort to  bolster AI safety and security . "Generative AI raises new and different concerns than traditional digital security, such as the potential for unfair bias, model manipulation or misinterpretations of data (hallucinations)," Google's Laurie Richardson and Royal Hansen  said . Some of the categories that are in scope  include  prompt injections, leakage of sensitive data from training datasets, model manipulation, adversarial perturbation attacks that trigger misclassification, and model theft. It's worth noting that Google earlier this July instituted an  AI Red Team  to help address threats to AI systems as part of its Secure AI Framework ( SAIF ). Also announced as part of its commitment to secure AI are efforts to strengthen the AI supply...

Recently, the cybersecurity landscape has been confronted with a daunting new reality – the rise of malicious Generative AI, like FraudGPT and WormGPT. These rogue creations, lurking in the dark corners of the internet, pose a distinctive threat to the world of digital security. In this article, we will look at the nature of Generative AI fraud, analyze the messaging surrounding these creations, and evaluate their potential impact on cybersecurity. While it's crucial to maintain a watchful eye, it's equally important to avoid widespread panic, as the situation, though disconcerting, is not yet a cause for alarm. Interested in how your organization can protect against generative AI attacks with an advanced email security solution?  Get an IRONSCALES demo .  Meet FraudGPT and WormGPT FraudGPT  represents a subscription-based malicious Generative AI that harnesses sophisticated machine learning algorithms to generate deceptive content. In stark contrast to ethical AI mode...