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The article is a product announcement, but its core subject is AI agents as a security risk and as SOC tooling, so it passes the topic gate. The claim that matters for AI readers is the gap it describes: existing agentic SOC tools lack identity and memory context, and standalone agent monitors stop at detection. Vendor claims about catching agent drift remain unverified until independent testing shows detection rates and false-positive behavior in real environments.
Surse care acoperăCrowdStrike Blog, Cybersecurity News

CrowdStrike Extends the Agentic SOC to Detect and Stop Agent Insider Threats

CrowdStrike Blog7 min de cititArticolul și perspectiva sunt în engleză.

The most dangerous agent in your environment may be one you already approved. It runs under a real employee's identity, connects to tools their team signed off on, and has the access it needs to do its job. But when something upstream changes, like a tampered tool or an instruction that shouldn't be there, it can drift without tripping an alarm. This is the new insider threat: not an employee, but a trusted agent acting on their behalf. AI agents touch the SOC in two ways: They’re the new operating unit of the SOC and a new identity to secure. Two categories of tools are being sold against these realities, but they fall short in different ways. Most agentic SOC tools run a single LLM serially through detections, with no memory of prior investigations or identity,…

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