For Risk & Compliance

AI Agent Governance for Risk & Compliance Teams

Audit every agent action, enforce policies, redact sensitive data, and prove compliance — without writing custom logging or one-off scripts.

Four controls. One pane of glass.

Stop chasing AI-generated incidents after the fact. Make policy violations impossible at the boundary and keep an immutable record of every decision.

Defensible audit trail

GDPR · HIPAA · SOX · ISO 42001

Every agent decision, tool call, redaction event, and policy outcome logged with full context — searchable and exportable for the regulatory window you need.

Policy at the boundary

PII Redaction

Rules are enforced before data leaves your perimeter. Redactions happen at the agent boundary, not after the prompt has already reached a vendor model.

LLM-powered checks

Governance Checks

Layer in policy-as-prompt: GDPR data-purpose, consent verification, data minimisation, and custom checks that block or warn on violation.

Continuous fleet audit

Agent-to-Agent

The workspace assistant audits every governed agent on a schedule and surfaces drift, missing rules, and non-allowlisted models — before an auditor does.

Comply

Guarantee Compliance Without Breaking Functionality

Upload your policy documents and specifications — ContextGate's AI assistant builds production-ready, governed agents for you. No technical knowledge required.

PII Redaction

Automatically detect and redact emails, phone numbers, SSNs, credit cards, and custom patterns.

Policy from Docs

Upload your privacy policy or compliance document to auto-generate governance rules.

LLM Governance

Use AI-powered checks to verify intent, consent, and data minimization compliance.

Policy nameFinance Ops · Client Data ProtectionActive

Pre-built from GDPR · HIPAA · PCI-DSS templates. 300+ ready to start from — or upload a doc and let the assistant build one.

🔒

PII Redaction Rules

Select which PII types to detect and redact

🤖

Governance Checks (LLM-based)

LLM-powered content validation rules

GDPR Data Purposellm
Validation prompt

Verify any access to personal data aligns with the stated processing purpose declared in the request context.

LLM Model
gpt-4o-mini
Action on Failure🛑 block
Enforce OnInput
Consent Verificationllm
Validation prompt

Reject requests when the upstream consent flag is missing or expired for the data subject in question.

LLM Model
gemini-2.5-flash
Action on Failure⚠️ warn
Enforce OnInput
Data Minimisationllm
Validation prompt

Block tool calls that request fields beyond the minimum needed for the agent’s stated task.

LLM Model
claude-haiku-4.5
Action on Failure🛑 block
Enforce OnOutput
Control

Full Visibility on Every Agent Decision

Monitor, filter, and audit every request in real-time. Get dashboards with key metrics and drill down into individual tool calls with full request/response details.

📨Total Requests
12,847
+12%
🛑Blocked
234
1.8%
🔒PII Redactions
1,203
-5%
Avg Latency
120ms
-8ms
Activity Over TimeLast 7 days
2k1.5k1k0.5k0
Mon
Tue
Wed
Thu
Fri
Sat
Sun
Passed Warned Blocked
Policy ActionsLast 24h
12,847total
Allowed85%
Redacted10%
Blocked5%
Top Tools by UsageLast 24h
salesforce_create_account4,523
hubspot_log_meeting3,891
xero_search_invoices2,104
workday_get_employee1,567
sap_post_journal892
Recent Policy Actions3 new

Blocked bulk delete attempt

salesforce_bulk_delete · 5m ago

block

PII redacted in Slack tool payload

slack_send_message · 12m ago

warn

New toolbox "Analytics" created

workspace.create · 1h ago

info

Real-Time Metrics

Track request volume, policy actions, and response times across all your agents in one dashboard.

Audit Logs

Every request is logged with full context. Filter by user, tool, policy, status, and date range.

Instant Alerts

Get notified when policies block requests, rate limits approach, or anomalies are detected.

Agent-to-Agent Governance

The Workspace Assistant Governs Your Agents

Once you have ten, fifty, a hundred governed agents in production, you need an agent that supervises the agents. ContextGate's workspace assistant runs continuous audits and remediates policy violations — across every agent, on a schedule, autonomously.

Workspace Assistant

Audit every agent in this workspace against the Client Data Protection policy. Flag any agent missing PII redaction or sending bank account numbers downstream.

list_agentscompleted
Result
  • Found 18 agents across 4 teams
audit_agentscompleted
Result
  • 14 agents pass all rules
  • 4 agents failing (PII leakage, model + tool violations)

Audit complete. Finance Reconciliation Bot is the highest-risk finding — it’s emitting IBANs through xero_search_invoices. I can apply the iban_redaction rule from your Client Data Protection policy and re-run the audit. Approve?

Compliance audit · 18 agents

Triggered by audit_agents · Finished 12s ago

14Pass
4Fail
Finance Reconciliation Bot· owned by Finance Ops
IBANs visible in xero_search_invoices output. Missing iban_redaction rule.
Missing: IBANMissing: Sort code
Sales Deal Summariser· owned by Revenue Ops
Person Names redaction was disabled this week — names now leaking into the CRM summary tool.
Missing: Person names
Clinical Trial Helper· owned by R&D
Model swapped to a non-allowlisted preview model — fails the AI Act model-governance rule.
Violation: Model
Support Triage Agent· owned by Customer Success
New connector (Intercom) added without an MCP tool allowlist — agent can call any Intercom tool.
Violation: Tools
Audit Preparation Agent· owned by Compliance
All rules pass. Last evaluated 12s ago across 47 tool calls.
GDPRHIPAAISO 42001
Next scheduled audit · Tomorrow, 02:00 UTC · cron 0 2 * * *

Continuous audits

Run policy checks across every agent on a schedule, on every config change, or on demand — without writing one-off scripts.

Catch violations early

Flag agents that fail any rule — new tools added, redactions disabled, non-allowlisted models — before an auditor or regulator does.

One-click remediation

The assistant proposes the fix, links the policy gap to a remediation, and applies it once you approve — keeping a full audit trail.

Get in Touch

Ready to govern your AI agents? Let us know about your use case and we'll help you get started.

Get in Touch