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ai security
AI Agents Broke the Security Playbook. Here's What Replaces It.
Traditional security workflows designed for human-paced environments are becoming inadequate as AI agents operate at faster speeds. Security teams need to build on a live identity foundation and create flexible, customized workflows to address the unique challenges posed by AI agent deployments.
Why it matters: Security practitioners must reassess and update their playbooks to manage AI agents effectively, as legacy approaches may not scale or respond quickly enough to emerging threats in AI-driven infrastructures.
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ai security
AI Agents Broke the Security Playbook. Here's What Replaces It.
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
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Correction
Correction recorded as of .
ai security
AI Agents Broke the Security Playbook. Here's What Replaces It.
Traditional security workflows were designed for slower-moving environments and do not adapt well to artificial intelligence (AI) agents operating at machine speed. Token Security argues that effective AI agent security requires building on live identity foundations and allowing security teams to customize workflows for their specific contexts. The shift reflects a fundamental mismatch between legacy security automation and the pace and complexity of AI-driven operations.
Why it matters: Security teams adopting AI agents need to rethink detection, response, and access control processes today, or risk gaps between their playbooks and how AI systems actually behave in production.
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- First seen by Cybersecurity Tracker