Use cases · Financial Services
Prove every AI decision can withstand review.
Continuously test fraud, lending, and trading systems before inconsistent behavior becomes a customer impact, control failure, or supervisory finding.
The trigger
When an examination cycle begins or new model-risk guidance lands, the VP of Model Risk needs more than a point-in-time red-team report.
Why it matters
A single unsupported or hallucinated narrative can turn an efficiency tool into a regulatory and remediation problem. Teams need to show how the copilot behaves across a broad range of case types, not just whether it passed a launch test.
How Optica solves it
Optica continuously stress-tests the copilot, separates adversarial-user effects from model fragility, and records results in a review-ready Evidence Pack. The result is repeatable behavioral evidence the risk team can use during examination and internal challenge.
Why now
In April 2026, federal banking regulators replaced SR 11-7 with a risk-based framework that puts agentic AI in scope by principle. Examiners will ask how you know your agents are safe. The Evidence Pack is the answer.
OCC Bulletin 2026-13 · SR 26-2 · April 17, 2026