Auditable, adversarial witness for deployed AI agents — automated critique & provenance

Auditable, adversarial witness for deployed AI agents — automated critique & provenance targets a $15.0B = 500,000 enterprises globally x $30K ACV for AI governance & agent security suites total addressable market with medium saturation and a year-over-year growth rate of 40%.

Key trends driving demand: Agentic-AI adoption -- more autonomous agents in production multiplies need for runtime auditing and accountability.; Regulation & compliance -- laws and procurement policies now require provenance, explainability, and risk controls for AI-driven decisions.; Model observability rising -- enterprises are shifting from model-centric monitoring to decision-centric, audit-focused tooling.; LLM self-evaluation advances -- improved self-critique and chain-of-thought make automated adversarial witness workflows feasible..