Whitepapers, benchmarks, experiments.
Our published work on canonicalization, transparency logs, and AI assurance primitives, grounded in the problems regulators will ask us to solve before they know to ask.
If a claim can't be verified without our cooperation, we treat it as unfinished work.
What we publish
We prioritize releasing authentic work rather than aspirational claims. We prioritize reproducible test vectors and reference implementations over marketing artifacts. Our research is the foundation for the claims Veridra makes in due diligence and regulatory conversations — if the research doesn't hold up, the product can't hold up.
Focus areas
Cryptographic determinism testing
RFC 8785 canonicalization conformance vectors across SDK languages. Cross-language payload signature verification (Python/Go parity). Published golden vectors, fuzzing harness, and nondeterminism bug bounty scope.
Transparency log witness economics
Trillian-backed log trustworthiness analysis. Incentive structures and co-signing topology research. Sigstore-compatible witness cost modeling for enterprise scale.
Evidence pack compression
Structure-aware compression for signed decision streams. Inclusion-proof deduplication techniques. Verifiable summary proofs for large-scale auditing.
Drift-as-evidence statistical foundations
Behavior-change detection as compliance artifact. Published test statistics and false-positive economics. Signed documentation of drift findings suitable for regulator timelines.
Agent decision chain replayability
Canonical representation of multi-step tool calls and retrievals. Regulator-executable replay capability with cryptographic confidence that the replay reflects the original execution.
Community collaboration
Reference implementations are open source with conformance vectors versioned in public GitHub repositories. External implementations integrate into the same conformance suite as internal SDKs — if your team writes a Rust or Elixir canonicalizer, the same test vectors validate it.