Verigrey
Government

Public-sector AI has to be accountable by mandate. Make yours provably safe.

Verigrey tests government agents against your policies and national AI-governance frameworks — with transparent, auditable evidence for oversight, deployable in your own environment.

Live governance-seal inspection
Case decision · benefit eligibility
denial issued without documented rationale
FLAGGED · unauditable decision
PROVEevidence · 0x3d7f…8b02
Why agents are different here

This isn't a generic agent-risk problem.

Public-sector decisions must be explainable and auditable to oversight bodies — and leakage of citizen data is a public-trust failure, not just a breach.

Public accountability
Decisions must be explainable and auditable to oversight bodies.
Framework mandates
NIST AI RMF, Singapore AI Governance Framework, and sector rules apply.
Citizen data
Leakage is a public-trust failure, not just a breach.
Common agent use cases

The agents this buyer is actually deploying.

Citizen-services agent

Handles benefits, permits, and citizen inquiries.

FailureLeaks citizen PII or gives wrong entitlement guidance.
FixDeepScan + PolicyForge.

Case-processing agent

Processes applications and case files.

FailureTakes over-broad data access with no auditable rationale.
FixFixLoop + ProofLedger.

Internal analyst copilot

Assists staff analysis on sensitive case data.

FailureExfiltrates sensitive or classified-adjacent data via a tool call.
FixDeepScan.

Procurement / eligibility agent

Scores vendors or applicants for eligibility.

FailureProduces biased or non-transparent decisioning.
FixDeepScan + ProofLedger.
Specific risks

What keeps you up at night.

Citizen-PII leakage

PDPA

Agent discloses personal data to the wrong party or session.

Unauditable / opaque decisions

NIST AI RMF

No documented rationale exists for a consequential decision.

Tool-mediated data exfiltration

NIST CSF 2.0

Analyst copilot moves sensitive data outside its authorized boundary via a tool call.

Bias in consequential decisions

Governance framework

Eligibility or procurement scoring shows disparate impact across groups.

How Verigrey solves it

Across the full lifecycle — Define to Prove.

DeepScan surfaces the exfiltration and bias paths a static review would miss, PolicyForge encodes your governance rules, and ProofLedger produces oversight-ready, human-readable evidence.

PolicyForge

Encodes governance-framework requirements — transparency, access scope, non-discrimination — as checkable tests.

DeepScan (adaptive testing)

Drives the agent through real trajectories to catch exfiltration and bias a document review can’t.

ProofLedger

Produces transparent, human-readable, tamper-evident records for oversight bodies.

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.

NIST AI RMF
Tested against: Governance, transparency, and risk-management controls for AI decisions.
NIST CSF 2.0 / 800-53
Tested against: Access-control and data-protection baselines.
Singapore AI Governance Framework
Tested against: National AI-governance accountability requirements.
PDPA
Tested against: Protection of citizen personal data.
Filter by regulation
RegulationControl areaVerigrey policyLifecycle stageEvidence output
NIST AI RMFGovernance & transparencyDecision-rationale policyDefine / ProveOversight-ready decision record
NIST CSF 2.0 / 800-53Access controlLeast-privilege access policyTest / ProtectAccess-scope enforcement log
Singapore AI Governance FrameworkAccountabilityFramework-mapped policy suiteProveFramework-mapped evidence pack
PDPACitizen data protectionPII-boundary isolation policyTestPII-leak trace record
9× more violations found vs. standard red-team benchmarks
OWASP Agentic Top 10MITRE ATLASNIST AI RMF
analyst_copilot →attempted export of case data via tool callFLAGGEDexfiltration policy 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 environment.

Verigrey deploys via VPC, air-gapped, or in-country configurations — data never leaves your environment.

Oversight bodies need to understand this, not just trust it.

ProofLedger evidence is written to be human-readable, not just machine-verifiable — built for oversight review.

We’re going through a procurement / ATO process.

Independent testing produces the evidence assurance and ATO reviewers expect from a third party.

Where this fits

Part of the full assurance loop.

Public accountability starts with documented rules — Define encodes governance requirements, Test drives the agent to its real behavior, and Prove hands oversight bodies transparent 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 government agents the public can trust.

Book a demo and see Verigrey produce oversight-ready evidence for a real decision.

Book a demo