Agentic AI | Breaking Cybersecurity News | The Hacker News

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...

Agentic AI is already running in production environments across many organizations today. It is executing tasks, consuming data, and taking actions — most likely without meaningful involvement from the security team. The industry conversation has largely framed this as a question of policy: allow it, restrict it, or monitor it? However, that framing misses the point.  The more urgent question is whether security professionals actually understand what they are dealing with. In most organizations, they don't right now. And that gap is compounding by the week. You cannot secure what you do not understand The foundational principle of information security has not changed: genuine fluency in a technology must come before you can meaningfully defend it. Think about firewalls. You cannot configure one well without understanding networking. When cloud computing arrived, organizations that skipped the foundational work ended up with environments they could not reason about — tools purc...

Cybersecurity researchers have disclosed details of a new attack called CometJacking targeting Perplexity's agentic AI browser Comet by embedding malicious prompts within a seemingly innocuous link to siphon sensitive data, including from connected services, like email and calendar. The sneaky prompt injection attack plays out in the form of a malicious link that, when clicked, triggers the unexpected behavior unbeknownst to the victims. "CometJacking shows how a single, weaponized URL can quietly flip an AI browser from a trusted co-pilot to an insider threat," Michelle Levy, Head of Security Research at LayerX, said in a statement shared with The Hacker News. "This isn't just about stealing data; it's about hijacking the agent that already has the keys. Our research proves that trivial obfuscation can bypass data exfiltration checks and pull email, calendar, and connector data off-box in one click. AI-native browsers need security-by-design for agent...