TBDCyber Research | Agentic AI Security

Agentic AI Security: Challenge-to-Framework & Vendor Mapping

A structured reference for security architects and IAM teams evaluating their agentic AI governance stack.

The agentic AI security vendor market is moving fast, and most vendors are bringing their legacy mental models to a problem that doesn't cleanly fit any single discipline.

PAM vendors treat agents as privileged accounts. IGA vendors treat them as identities needing lifecycle governance. AI security vendors focus on the semantic layer. Each is partially right. None covers the full picture.

This reference table maps every major governance challenge across identity lifecycle, authentication, authorization, forensics, and regulatory compliance. It maps representative vendor solutions, formal standards, and practitioner frameworks that currently address agentic AI governance, and identifies where the gaps remain.

Built for security architects, IAM leaders, and procurement teams who need a working reference framework.

Agentic AI Identity Governance Challenge to Framework and Vendor Mapping.jpg

A preview of the Reference Table:

What's Inside

20+ governance challenges mapped across five domains
Vendor coverage assessment for each challenge category, with structural gaps named explicitly
Formal standards and practitioner frameworks (OWASP Agentic Top 10, CSA Agentic IAM, CoSAI, NIST AI RMF) mapped to each challenge
Maturity ratings: what's observable in enterprises today, what's emerging, what's still conceptual
Point-in-time market notes including recent acquisitions (SailPoint/Entro, Wiz/Google)