Trust infrastructure for the agent economy
AI agents operate on unverified context. We provide the cryptographic provenance layer—C2PA credentials, DIDs, verifiable capabilities, and runtime policy enforcement.
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The Problem
When Agent A tells Agent B something, how does Agent B know where it came from, who authored it, or if it's been tampered with?
Inferred context
Agents guess where data comes from based on retrieval paths, not cryptographic proof.
Implicit trust
No mechanism to verify capabilities or authorization across organizational boundaries.
No runtime enforcement
Policies exist in docs, not in cryptographically-enforced attestations.
Our Approach
The provenance layer for AI agent context
Sign under policy
Content and context get C2PA credentials with Cedar policy attestations. Every artifact carries proof of origin, authorization, and constraints.
Build the trust graph
Organizations declare trust relationships that form a crawlable web. No central authority—trust emerges from the network.
Validate at runtime
Before acting on context, agents verify credentials, check trust paths, and evaluate policies. Deterministic, auditable decisions.
Standards-Based
Built on proven specifications, not proprietary protocols
C2PA
Content credentials
DIDs
Decentralized identity
VCs
Verifiable credentials
Cedar
Policy language
in-toto
Supply chain attestations
SLSA
Build provenance
SPIFFE
Workload identity
DSSE
Signature envelopes