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AI Agent Trust & Authorization Architecture

Design the identity, access scope, and audit trail your AI agents don't have yet.

Human, device, workload, and agent identity, converging on one verified policy graph AUTOMATED TRUST Human workforce · verified Device posture · verified ID Workload auto-rotated · verified AI Agent scoped · audited · expires in 5m
The problem

Your AI agents have no coherent identity, access scope, or audit trail — often authenticating with shared API keys or over-broad service accounts.

What’s delivered
  • An agent inventory and threat model, mapped against known AI agent attack patterns
  • Agent identity and authorization design — least-privilege scopes, human-in-the-loop policy where warranted, audit logging
  • A reference implementation on one or two priority agent workflows
  • Vendor-neutral evaluation of AI agent gateway and control options — not a resale
How it’s different

A genuine security threat model grounded in documented exposure research, paired with hands-on implementation — most vendors in this space sell a gateway, not an architecture.

Logical next engagement

Identity & Zero Trust Assessment — extending the same policy model to human and device access.