Agent Identity Verification
Proof that the agent acting under a credential is the model you certified.
What it is
Agent Identity Verification confirms that the AI agent operating under a given credential is the same model that was certified — not a substituted, fine-tuned, or swapped model wearing the same credential. It binds the live agent to its certificate, so identity is something you can verify rather than assume.
What you receive
- A verifiable result linking a live agent to its issued certificate
- Confirmation that the operating model matches the approved model
- An auditable trail tying credential, certificate, and model together
Why it matters
Credentials authenticate the caller, not the model behind it. An attacker who replaces the model keeps the same valid credential — and every downstream system continues to trust it. Identity verification closes that gap by checking the model itself, not just the key it presents.
Where it fits
- Agentic systems and autonomous workflows
- Multi-vendor and outsourced AI supply chains
- Any deployment where a credential alone is treated as trust
The methods behind identity verification are proprietary and patent-pending. What we expose is the outcome — a clear, verifiable answer you can act on.