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AI Summary: A critical framework for securing autonomous agents, treating them as dynamic identities rather than static applications.

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Secure agentic AI end-to-end

Vasu Jakkal

ABSTRACT

Published during RSAC 2026, this article outlines a comprehensive security framework for autonomous AI agents. It covers the necessity of continuous adaptive access, safeguarding data across agentic workflows, and defending against AI-powered threats at scale. The methodology presents a multi-layered defense strategy that treats AI agents as identities that must be secured throughout their lifecycle.

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