AI Agents Are Rewriting the Rules of Lateral Movement
Autonomous systems are evolving beyond traditional permissions, creating novel risks for network lateral movement.
Security teams have spent decades asking whether an identity has too much access. AI agents raise a harder question: how can we determine which paths an autonomous system can discover, given the access it already has? A person may try several ways to complete a task. A determinis...
The Hacker News
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AI agents represent a paradigm shift in cybersecurity because they can autonomously identify and exploit complex attack vectors faster than human adversaries. This capability renders static permission models obsolete and forces security teams to adopt dynamic, intent-based monitoring for automated systems.
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