Threat Detection | Breaking Cybersecurity News | The Hacker News

Every single day, hackers are finding new ways to crash websites and steal data. But right now, something has changed. Hackers are no longer working alone. They are now using powerful Artificial Intelligence (AI) tools to make their attacks faster, stronger, and much harder to stop. According to recent updates from The Hacker News , bad actors are using AI to find weak spots in systems and launch massive "DDoS attacks" that can take your business offline in seconds. If your website goes down, you lose money, you lose customer trust, and you spend days trying to fix the mess. 👉 Save Your Free Webinar Seat The Old Way of Protection Doesn't Work Anymore In the past, you could set up a simple firewall, update your software, and feel safe. Not anymore. AI-assisted attacks can think and adapt. They don't just hit your front door; they look for hidden entry points, smart APIs, and tiny mistakes in your cloud setup. They do in minutes what used to take human h...

Ask a cybersecurity pro about Network Detection and Response (NDR) and you might still hear "Noisy," "Too much data." But ask the teams running NDR that includes agentic AI capabilities and you'll hear they're actually using it to catch threats earlier, triage faster, and chase fewer false positives. The old complaint lingers in part because reputations are sticky, and because NDR has evolved faster than the narrative. The origins of noise NDR deployments have always given analysts deep visibility into network traffic, encrypted session behavior, and protocol anomalies. But visibility often came as raw material, not finished intelligence. Some systems required extensive manual tuning during deployment to prevent SIEM overload. Organizations that couldn't invest that time (or didn't know how important it was) helped cement NDR's "alert firehose" or "noisy" reputation. NDR with agentic AI turns noise into narrative A...

Anthropic on Friday disclosed that Project Glasswing has helped uncover more than 10,000 high- or critical-severity vulnerabilities across some of the most "systemically" important software across the world since the cybersecurity initiative went live last month. Project Glasswing is a defensive effort launched by the artificial intelligence (AI) company to secure critical global software infrastructure. It grants a small set of about 50 partners exclusive, early access to Claude Mythos Preview, a frontier model with capabilities to autonomously identify vulnerabilities in widely-used software before bad actors can exploit them. Of these vulnerabilities, 6,202 have been classified as high- or critical-severity flaws impacting more than 1,000 open-source projects. Subsequent analysis of these vulnerability candidates has identified that 1,726 are valid true positives. As many as 1,094 flaws are assessed to be either high- or critical-severity. One of the identified w...

In Your Biggest Security Risk Isn't Malware — It's What You Already Trust , we made a simple argument: the most dangerous activity inside most organizations no longer looks like an attack. It looks like administration. PowerShell, WMIC, netsh, Certutil, MSBuild — the same trusted utilities your IT team uses every day are also the preferred toolkit of modern threat actors. Bitdefender's analysis of 700,000 high-severity incidents found legitimate-tool abuse in 84% of them . The reaction we heard most was a fair one: We know. So what do we actually do about it? That's what Bitdefender's complimentary Internal Attack Surface Assessment   is built to answer. It's a 45-day, low-effort engagement available to organizations with 250 or more employees that turns the abstract problem of "living off the land" into a specific, prioritized list of users, endpoints, and tools you can safely take away from attackers without breaking the business. Why This, Why ...