Banks and financial institutions face the strictest AI governance requirements in any industry. Atomic Trust replaces self-reported model inventories with structural enforcement and cryptographic audit trails.
Prove that credit models don't drift into discriminatory patterns. Conservation laws ensure trust scores can't be gamed or inflated.
Maintain provenance chains for every fraud decision. Auditors can replay any decision and verify the model state at that moment.
Fleet-level governance for algorithmic trading systems. Byzantine tolerance catches rogue models before they cause market impact.
Ensure chatbots and virtual assistants maintain consistent, compliant behavior. Trust scoring prevents model degradation.
Cryptographic provenance for stress testing, capital adequacy, and risk scoring models. Every calculation has a receipt.
Govern AI-powered document extraction and classification. Track attention patterns to prove the model read what it claims.
Mapped to the frameworks your examiners actually check.
Comprehensive model risk management with structural enforcement and deterministic replay.
Article 6–52 compliance for high-risk AI systems deployed in financial services.
Trust service criteria mapped to provenance chains and conservation verification.
Bias detection with trust-weighted scoring and cryptographic audit trails.
Provenance chains for fraud detection models. Every decision is replayable.
Full Govern, Map, Measure, Manage lifecycle with automated evidence collection.
Replace model inventory spreadsheets with cryptographic proof.