Human AI validation for banking and financial services.
AI regulations require independent validation of AI agent risk. Adrosaga produces the structured evidence your risk team builds on — bias testing, fairness evaluation, and adversarial robustness, run by real human evaluators.
Key regulations and frameworks include: SR 26-2 (USA) · NIST AI RMF (USA) · MAS AIRG (Singapore) · APRA CPS 230 (Australia) · EU AI Act Annex III
Banking and financial services AI doesn't just carry model risk — it carries regulatory, reputational, and board-level accountability. The evidence standard has changed accordingly.
SR 26-2 (April 2026, superseding SR 11-7, US) requires banks to independently validate AI systems used in credit decisions, fraud detection, and customer-facing applications. 'Independent' means not validated by the team that built it — and not by a firm that builds AI systems. Risk teams need structured evidence they can put in front of regulators and boards.
How Adrosaga Helps
- 25+ deployment testing types covering regulations such as SR 26-2 (USA) risk requirements.
- Bias and demographic parity testing on credit scoring, fraud detection, and customer-facing AI.
- Documented methodology for risk files.
- Multilingual evaluation for customer-facing AI across English, Mandarin, Cantonese, Spanish, and 100+ languages.
- Internal staff evaluation for sensitive credit, fraud, and customer-facing AI — where external contributor access is restricted by policy or regulatory requirement.
- Structured data exports your risk team maps to their framework.
Regulations and frameworks relevant to Banking & Financial Services AI
AI in credit, fraud detection, and customer-facing banking is subject to a growing body of regulations and frameworks globally. Some regional examples from US, EU and APAC include:
- SR 26-2 (USA)
- NIST AI RMF (USA)
- MAS AIRG (Singapore)
- APRA CPS 230 (Australia)
- EU AI Act Annex III
Each carries different evidence requirements, validation standards, and timelines.
Regulation Library Coming Soon
What practitioners in Banking & Financial Services are reading.
The latest regulatory developments, practitioner commentary, and industry analysis on AI deployment risk in financial services
The evidence your compliance team builds on.
Every validation run produces a structured data export — objective, demographic assignment, and findings. Your compliance team maps it to their framework.
We give your team the independent evidence.
Turn AI deployment risk into defensible AI evidence.
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Yes. Adrosaga's tests compare how different demographic groups experience the same AI system.
Adrosaga lets clients share the relevant policies with external contributors, or use an internal staff audience when the material is confidential.
Adrosaga's planned Regulation Library will help identify potentially relevant requirements; clients should confirm obligations with appropriate advisers.
Yes. Adrosaga tests against both external and internal requirements and captures the evidence; certifying compliance is up to you or your consultant.
Yes. Adrosaga can test the full AI-to-human escalation journey.