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AI governance for regulated industries.

Log, govern, and evidence every AI call your org makes.

SOC 2 · HIPAA · EU AI Act · DORA · No raw text stored

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Setup

Minimal integration tax.

One URL change, every call governed.

Your Internal AI Tools

chatbot, doc processor,
workflow, assistant, etc.

every call

Verra

✓ Scan for threats & PII

✓ Enforce your policy

✓ Log for audit trail

if safe

Model Providers

OpenAI · Anthropic
Azure · Bedrock · Vertex


Capabilities

All the governance you need.

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

Decisions are logged with policy version, risk level, and trace ID. Evidence packs map receipts to EU AI Act and DORA articles, with a SHA-256 hash on each page for auditors to verify against.

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. Intercepted before it reaches the model, and again before it reaches the user.

Threat Detection

Concern

Prompt injection or jailbreaks could compromise our apps.

Solution

Four detectors run in parallel: prompt injection, jailbreak, data exfiltration, and system prompt extraction. Results aggregate into a single verdict: allow, warn, mask, or block.

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

Concern

I need to control what each AI app can access.

Solution

Per-agent tool whitelists. HR can't touch GitHub. Finance can't call Slack. An agent-type-by-tool permission matrix flags suspicious pairings.

MCP Governance

Concern

Model Context Protocol servers are bringing third-party tools into our stack with no inventory or change control.

Solution

Each MCP tool resolves to a registered server with a known schema and a trust tier. Pinned schemas let an hourly recheck surface drift. Tools with no origin record fall to a configurable default-deny policy.

Identity Attribution

Concern

When an agent action is investigated months later, I need to know which human authorized it.

Solution

Each receipt carries two identities: the operator (the employee running the agent) and the end user (the person whose session triggered the action). One header, x-verra-user-id, supplies both, with no SSO integration.


Integration

Works with the stack you already run.

Verra sits between your application and the model provider as a proxy. Integration is a URL change and one header.

import openai, os client = openai.OpenAI( api_key=os.environ["OPENAI_API_KEY"], base_url="https://api.helloverra.com/api/proxy", # change this default_headers={ "x-verra-key": os.environ["VERRA_KEY"], # add this }, ) # Your existing calls work unchanged client.chat.completions.create(model="gpt-4o", messages=[...])

Confirm with one click; no manual setup beyond that.


Audit Trail

A complete audit trail.

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.

CreatedAgentActionRiskFindings
2 min agofinance-report-agentblockhighPII: SSN detected · sk-* pattern
5 min agocustomer-supportallowlow-
12 min agocode-review-agentwarnmedMCP drift · github-mcp · 1 tool changed
26 min agosupport-botallowlowend_user: patient-7842 · ehr-mcp (internal)
1 hr agohr-assistantmaskmedPII masked: email, phone

See it running on your agents.

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SOC 2 · HIPAA · EU AI Act · DORA · No raw text stored