TRUSCOR builds no models, no agents and no applications. It is the independent record of how far autonomous AI can be trusted.
AI is growing faster than anyone can check it. We want a world where it is also safe and accountable. To get there, TRUSCOR is building the world’s first AI failure corpus: a structured record of how AI systems fail and what it costs.
CIBIL scores borrowers and never lends a rupee, which is why every bank trusts it. We are the bureau.
The vendor sells the fix. The insurer carries the risk. TRUSCOR sells none of those things, and that is what makes its proof worth paying for.
The testing engine. It attacks, UI-tests and stress-tests an AI product, judges it, and writes everything as .sova evidence.
AvailableThe risk-grading engine. It turns evidence into the TRUSCOR Rating (300–900), the Estimated Financial Exposure and a risk map across rules and regulations.
AvailableThe 24x7 recorder. It logs every action and failure of a live AI system, signed and checked against effect, so fault can be proven later, in court if needed.
AvailableThe evidence format. A signed, tamper-evident record of what an AI was shown, what it did and what changed.
AvailableThe free, open-source toolkit for AI security: the format, an engine you can customise, an arena for clashing agents, and a registry of vulnerabilities and tests.
AvailableThe measurement instrument: TRUSCOR’s hands and eyes on real computers. It operates test environments, observes what really happened against what the AI claimed, records signed evidence and replays findings.
AvailableWhat AI systems actually did, how they failed and what it cost, de-identified and consented.
Being builtFive fields and a short call. We reply within one working day.