Verigrey
Banking

Regulators won't accept 'the AI did it.' Prove your banking agents behave.

Verigrey tests banking agents against your policies and produces regulator-ready evidence — no leaked account data, no unauthorized advice, full audit trail — across Define to Prove.

Live ledger inspection
Transaction · outbound transfer
acct #4471 → external routing, $12,400.00
FLAGGED · cross-customer scope
PROVEevidence · 0x7f2a…d91c
Why agents are different here

This isn't a generic agent-risk problem.

A regulated institution can't deploy an agent it can't audit. If it fails, model-risk frameworks like SR 11-7 and MAS TRM put it on the CISO's desk.

$4.7M
Average breach cost involving an AI/automation failure.
SR 11-7 / MAS TRM
Increasingly read to cover AI models, demanding validation and audit.
Zero tolerance
One leaked statement or bad recommendation is an enforcement event.
Common agent use cases

The agents this buyer is actually deploying.

Customer-service agent

Handles balances, transfers, and disputes for retail customers.

FailureExposes another customer’s account data after a tool call.
FixDeepScan + RuntimeGuard.

Relationship-manager copilot

Drafts advice and product suggestions for clients.

FailureGives unlicensed or unsuitable investment advice.
FixPolicyForge + DeepScan.

Fraud / AML triage agent

Flags suspicious transactions for review.

FailureApproves a path that bypasses KYC/AML thresholds.
FixPolicyForge + DeepScan.

Internal ops agent

Handles reconciliations and reporting.

FailureTakes a destructive action with over-broad data access.
FixFixLoop.
Specific risks

What keeps you up at night.

Cross-customer PII leak

GLBA / NYDFS 500

Retail agent exposes one customer’s data to another mid-conversation.

Unlicensed advice

Reg BI / UDAAP

Copilot gives investment guidance no licensed advisor signed off on.

Fair-lending discrimination

ECOA / Reg B

Credit or product decisions show disparate impact across protected classes.

Unauditable decisions

SR 11-7 / SOX

No trace exists for why the agent acted — nothing to hand an examiner.

How Verigrey solves it

Across the full lifecycle — Define to Prove.

DeepScan drives adaptive testing that competitors can't replicate without source access, PolicyForge encodes your suitability and access rules, and ProofLedger turns every run into regulator-ready evidence.

PolicyForge

Encodes suitability, KYC/AML, and access-scope rules as checkable tests — the rules your examiners already expect.

DeepScan (adaptive testing)

Drives the agent down multi-turn, tool-mediated paths that black-box scanners can’t reach, and catches the violation.

ProofLedger

Every test and every production decision becomes tamper-evident, regulator-ready evidence.

Regulation mapping

Tested against controls derived from your regime.

Regulation names are proof, not decoration — Verigrey doesn't claim to make you compliant. It tests against controls derived from these regimes and hands you the evidence.

MAS TRM
Tested against: Model-risk validation and audit controls for AI-driven decisions.
NYDFS 500
Tested against: Cybersecurity controls around customer financial data access.
GLBA
Tested against: Safeguarding of nonpublic personal financial information.
SR 11-7
Tested against: Model risk management — validation, monitoring, and documentation.
ECOA / Reg B
Tested against: Non-discrimination in credit decisions and recommendations.
SOX
Tested against: Auditability and internal control over decision-making processes.
Filter by regulation
RegulationControl areaVerigrey policyLifecycle stageEvidence output
MAS TRMModel validationSuitability & advice policyDefine / TestValidation test report
NYDFS 500Data access controlLeast-privilege access policyTest / ProtectAccess-scope evidence log
GLBAPII safeguardingCross-customer isolation policyTest / ProtectPII-leak trace record
SR 11-7Model risk governanceModel behavior validation suiteDefine / ProveAudit-ready ProofLedger entry
ECOA / Reg BFair lendingDisparate-impact test policyTestFairness benchmark results
SOXInternal controlsDecision audit-trail policyProveTamper-evident decision log
9× more violations found vs. standard red-team benchmarks
OWASP Agentic Top 10MITRE ATLASNIST AI RMF
relationship_agent →drafted unsuitable product recommendationFLAGGEDPolicyForge suitability rule violatedevidence logged

See it catch a real violation.

Book a demo and watch Verigrey run against a scenario like the ones on this page.

Concerns

What we hear before the demo.

Our data can’t leave our network.

Verigrey deploys in your VPC or on-prem — data stays inside your network boundary, always.

We already have model-risk governance.

SR 11-7 and NIST AI RMF tell you what to prove. Verigrey provides the testing and tamper-evident evidence that actually proves it.

This will slow down our release cycle.

DeepScan runs in CI and re-tests on every model or prompt change — it’s a gate, not a bottleneck.

Where this fits

Part of the full assurance loop.

Banking agents live under model-risk governance from day one — Define encodes suitability and access rules, Test drives adaptive-testing violations, and Prove hands examiners the evidence.

1
Define

PolicyForge

Plain-English rules → formal, checkable tests

2
Test

DeepScan

Adaptive testing — 9× more violations found

3
Re-test

FixLoop

Root-cause + fix, re-test on every agent change

4
Protect

RuntimeGuard

Same policies monitored on live traffic, streamed to your SOC

5
Prove

ProofLedger

Regulator-ready, OWASP/MITRE-mapped audit evidence

Deploy banking agents your regulator will accept.

Book a demo and see Verigrey catch a suitability violation a black-box scanner would miss.

Book a demo