Generative AI | Breaking Cybersecurity News | The Hacker News

You don't need a rogue employee to suffer a breach. All it takes is a free trial that someone forgot to cancel. An AI-powered note-taker quietly syncing with your Google Drive. A personal Gmail account tied to a business-critical tool. That's shadow IT. And today, it's not just about unsanctioned apps, but also dormant accounts, unmanaged identities, over-permissioned SaaS tools, and orphaned access. Most of it slips past even the most mature security solutions. Think your CASB or IdP covers this? It doesn't. They weren't built to catch what's happening inside SaaS: OAuth sprawl, shadow admins, GenAI access, or apps created directly in platforms like Google Workspace or Slack. Shadow IT is no longer a visibility issue - it's a full-blown attack surface. Wing Security helps security teams uncover these risks before they become incidents.  Here are 5 real-world examples of shadow IT that could be quietly bleeding your data. 1. Dormant acces...

Traditional data leakage prevention (DLP) tools aren't keeping pace with the realities of how modern businesses use SaaS applications. Companies today rely heavily on SaaS platforms like Google Workspace, Salesforce, Slack, and generative AI tools, significantly altering the way sensitive information is handled. In these environments, data rarely appears as traditional files or crosses networks in ways endpoint or network-based DLP tools can monitor. Yet, most companies continue using legacy DLP systems, leaving critical security gaps. A new white paper, Rethinking DLP For The SaaS Era: Why Browser-Centric DLP is the New Mandate , identifies precisely why current DLP methods struggle to secure modern SaaS-driven workflows. It also explores how browser-native security addresses these gaps by focusing security efforts exactly where user interactions occur, in the browser. Why Traditional DLP Tools Fall Short Traditional DLP solutions were built for a simpler time when sensitive...

Talking about AI: Definitions Artificial Intelligence (AI) — AI refers to the simulation of human intelligence in machines, enabling them to perform tasks that typically require human intelligence, such as decision-making and problem-solving. AI is the broadest concept in this field, encompassing various technologies and methodologies, including Machine Learning (ML) and Deep Learning. Machine Learning (ML) — ML is a subset of AI that focuses on developing algorithms and statistical models that allow machines to learn from and make predictions or decisions based on data. ML is a specific approach within AI, emphasizing data-driven learning and improvement over time. Deep Learning (DL) — Deep Learning is a specialized subset of ML that uses neural networks with multiple layers to analyze and interpret complex data patterns. This advanced form of ML is particularly effective for tasks such as image and speech recognition, making it a crucial component of many AI applications. Larg...

Microsoft on Monday announced a new feature called inline data protection for its enterprise-focused Edge for Business web browser. The native data security control is designed to prevent employees from sharing sensitive company-related data into consumer generative artificial intelligence (GenAI) apps like OpenAI ChatGPT, Google Gemini, and DeepSeek. The list will be expanded over time to include other genAI, email, collaboration, and social media apps. "With the new inline protection capability for Edge for Business, you can prevent data leakage across the various ways that users interact with sensitive data in the browser, including typing of text directly into a web application or generative AI prompt," the tech giant said. The Microsoft Purview browser data loss prevention ( DLP ) controls come as the company announced the General Availability of collaboration security for Microsoft Teams in an effort to tackle phishing attacks against users of the enterprise com...

Microsoft on Thursday unmasked four of the individuals that it said were behind an Azure Abuse Enterprise scheme that involves leveraging unauthorized access to generative artificial intelligence (GenAI) services in order to produce offensive and harmful content. The campaign, called LLMjacking, has targeted various AI offerings, including Microsoft's Azure OpenAI Service. The tech giant is tracking the cybercrime network as Storm-2139. The individuals named are - Arian Yadegarnia aka "Fiz" of Iran, Alan Krysiak aka "Drago" of United Kingdom, Ricky Yuen aka "cg-dot" of Hong Kong, China, and Phát Phùng Tấn aka "Asakuri" of Vietnam "Members of Storm-2139 exploited exposed customer credentials scraped from public sources to unlawfully access accounts with certain generative AI services," Steven Masada, assistant general counsel for Microsoft's Digital Crimes Unit (DCU), said . "They then altered the capabilities of ...

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 ...

Microsoft has revealed that it's pursuing legal action against a "foreign-based threat–actor group" for operating a hacking-as-a-service infrastructure to intentionally get around the safety controls of its generative artificial intelligence (AI) services and produce offensive and harmful content. The tech giant's Digital Crimes Unit (DCU) said it has observed the threat actors "develop sophisticated software that exploited exposed customer credentials scraped from public websites," and "sought to identify and unlawfully access accounts with certain generative AI services and purposely alter the capabilities of those services." The adversaries then used these services, such as Azure OpenAI Service, and monetized the access by selling them to other malicious actors, providing them with detailed instructions as to how to use these custom tools to generate harmful content. Microsoft said it discovered the activity in July 2024. The Windows maker...

The U.S. Treasury Department's Office of Foreign Assets Control (OFAC) on Tuesday leveled sanctions against two entities in Iran and Russia for their attempts to interfere with the November 2024 presidential election. The federal agency said the entities – a subordinate organization of Iran's Islamic Revolutionary Guard Corps and a Moscow-based affiliate of Russia's Main Intelligence Directorate (GRU) – sought to influence the electoral outcome and divide the American people through targeted disinformation campaigns. "As affiliates of the IRGC and GRU, these actors aimed to stoke socio-political tensions and influence the U.S. electorate during the 2024 U.S. election," it noted in a press release. In August 2024, the Office of the Director of National Intelligence (ODNI), the Federal Bureau of Investigation (FBI), and the Cybersecurity and Infrastructure Security Agency (CISA) jointly accused Iran of attempting to undermine democratic processes, including b...

Cybersecurity researchers have found that it's possible to use large language models (LLMs) to generate new variants of malicious JavaScript code at scale in a manner that can better evade detection. "Although LLMs struggle to create malware from scratch, criminals can easily use them to rewrite or obfuscate existing malware, making it harder to detect," Palo Alto Networks Unit 42 researchers said in a new analysis. "Criminals can prompt LLMs to perform transformations that are much more natural-looking, which makes detecting this malware more challenging." With enough transformations over time, the approach could have the advantage of degrading the performance of malware classification systems, tricking them into believing that a piece of nefarious code is actually benign. While LLM providers have increasingly enforced security guardrails to prevent them from going off the rails and producing unintended output, bad actors have advertised tools like WormGPT...

Sometimes, it turns out that the answers we struggled so hard to find were sitting right in front of us for so long that we somehow overlooked them. When the Department of Homeland Security, through the Cybersecurity and Infrastructure Security Agency (CISA), in coordination with the FBI, issues a cybersecurity warning and prescribes specific action, it's a pretty good idea to at least read the joint advisory. In their advisory AA24-242A, DHS/CISA and the FBI told the entire cybercriminal-stopping world that to stop ransomware attacks, organizations needed to implement phishing-resistant MFA and ditch SMS-based OTP MFA.  The Best Advice I Never Followed  This year, we have experienced an astonishing surge in ransomware payments, with the average payment increasing by a staggering 500%. Per the "State of Ransomware 2024" report from cybersecurity leader Sophos, the average ransom has jumped by 5X reaching $2 million from $400,000 last year. Even more troubling, RISK &...