AI Governance for Regulated Industries
You're already using ChatGPT or Claude.
Your compliance team needs proof it's governed.
Verra sits between your internal AI tools and the model, logging every call, enforcing your policy, and generating the audit evidence your security team requires.
SOC 2 ready · HIPAA BAA available · EU AI Act controls · No raw text stored
Request Access
We onboard teams with a short call to understand your setup. Fill in your details and we'll be in touch within one business day.
Prefer a live walkthrough? Book a 15-minute demo →
Developer? Sign up and explore the proxy directly
How It Works
One URL change, and every call goes through Verra.
Works for any existing AI integration: a chatbot, a document processor, or a workflow automation. If it calls an LLM, Verra governs it.
Your Internal AI Tools
chatbot · doc processor
workflow · assistant
Verra
✓ Scan for threats & PII
✓ Enforce your policy
✓ Log for audit trail
Model Providers
OpenAI · Anthropic
Azure · Bedrock · Vertex
Your compliance & security team
Full audit log of every AI call
Policy controls for what gets blocked, flagged, or logged
Evidence export for SOC 2, HIPAA, EU AI Act
Shadow AI detection across your org
Your engineering team
One URL change, one header, no SDK required
Auto-registers your app on first call
Works with existing OpenAI / Anthropic client libraries
~70ms overhead on detected attacks
Capabilities
All the governance your compliance team needs.
The problems every compliance and security team faces when AI enters the org.
Visibility
Concern
I have no idea what our AI apps are sending or receiving.
Solution
Full receipts on every call, covering what went in, what came out, and what Verra decided. Analytics and per-app drill-down give your security team the complete picture.
Compliance
Concern
I can't prove to auditors that we're governing our AI.
Solution
Every decision logged with policy version, risk level, and trace ID. One-click evidence pack export mapped to SOC 2, HIPAA, and EU AI Act controls.
Data Protection
Concern
Our AI apps might be leaking sensitive data to the model.
Solution
PII, secrets, and confidential content scanned on input and output. Caught before it reaches the model, and caught again before it reaches the user.
Threat Detection
Concern
Prompt injection or jailbreaks could compromise our apps.
Solution
Four detectors run in parallel: pattern matching, on-device ML classifiers, embedding similarity, and LLM-judge rules. Around 70ms overhead on flagged requests, because detectors run concurrently rather than in sequence.
Shadow AI
Concern
I don't know which teams are calling AI APIs without oversight.
Solution
Unregistered AI calls are flagged automatically and surfaced in the Shadow AI dashboard, giving your security team visibility into AI usage that bypasses the proxy.
Tool Governance
SCALES TO MULTI-APPConcern
As we add more AI apps, I need to control what each one can access.
Solution
Per-app tool whitelists as your AI footprint grows. Verra filters what the model can call. HR can't touch GitHub. Finance can't call Slack.
Integration
Your engineers deploy it in an hour.
Verra is a drop-in proxy. One URL change, one header, no changes to agent code. Your security team gets full controls without slowing engineering down.
Verra auto-registers agents on first call. No manual setup required.
Audit Trail
A complete audit trail, on every call.
Every agent request is logged with risk level, findings, policy version, and trace ID. One-click evidence export for SOC 2, HIPAA, and internal audits. No raw prompt text ever stored, only a hash and metadata.
See it running on your agents.
15-minute demo. We'll map Verra to your compliance requirements and walk through the pipeline live.
SOC 2 compliant · HIPAA BAA available · No raw text stored