Analysis
Agentic AI Security: Identity-Centric Controls for Autonomous Agents
Publication date not yet evaluated · Added · 2 reports encryptionconsulting.com
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Why it matters
Agentic AI agents acting as non-human identities create new attack surface, and certificate-backed identity controls with rotation and revocation address risks that governance frameworks alone leave open for defenders securing autonomous agents.
Encryption Consulting presents an analysis of securing autonomous AI agents through an identity lifecycle model, mapping four phases (birth, operation, rotation, retirement) and eight controls to X.509 certificates, automated certificate lifecycle management, and short-lived credentials. The piece frames vendor approaches from CyberArk (agent identity as tenure), DigiCert (AI Agent Passport), and AppViewX (behavior monitoring) as stopping at the policy layer without specifying cryptographic enforcement.