Agentic AI introduces a new class of security risks that traditional IAM tools weren't designed to handle. Key threats include unmanaged agent identities, privilege escalation from over-permissioned agents, prompt injection attacks, lack of auditability across multi-agent workflows, insecure agent-to-agent communication, and shadow AI proliferation. Existing human-centric identity frameworks struggle with ephemeral agents, MCP-layer authorization, and end-to-end traceability. The post advocates for task-scoped short-lived tokens, fine-grained least-privilege policies at the API/MCP layer, full audit trails, and human-in-the-loop controls for high-risk actions — and promotes Strata's Maverics Platform as a solution.

8m read timeFrom securityboulevard.com
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Key TakeawaysWhat is agentic AI, and why does it change the security equation?The core agentic AI risks enterprises face in 2026Why existing identity tools fall shortHow Strata helps you manage agentic AI risksReady to secure your AI agents?Learn to secure AI agents in a hands on lab!

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