Defensible audit trail
GDPR · HIPAA · SOX · ISO 42001Every agent decision, tool call, redaction event, and policy outcome logged with full context — searchable and exportable for the regulatory window you need.
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.
Policy at the boundary
PII RedactionRules 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 ChecksLayer 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-AgentThe workspace assistant audits every governed agent on a schedule and surfaces drift, missing rules, and non-allowlisted models — before an auditor does.
Feature · Behavioural Rules Engine
Your rules, enforced at runtime.
Upload your style guide, business logic, brand voice, or custom regulatory policies — ContextGate's assistant turns them into reusable rules that catch off-policy outputs and force the agent to retry with feedback.
Rules from docs
Upload your style guide, brand voice, business logic, or custom regulatory policies. The assistant generates runtime rules.
Auto-retry with feedback
When an output violates a rule, the agent re-runs against the same model with the policy feedback injected (up to 3 attempts).
Reusable across the fleet
Author once, apply to every agent. No per-agent rule rebuilding when you ship a new agent.
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
AI Agent Observability and Audit Logs
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
Passed Warned Blocked
Policy ActionsLast 24h
Allowed85%
Redacted10%
Blocked5%
Top Tools by UsageLast 24h
Recent Policy Actions3 new
Blocked bulk delete attempt
PII redacted in Slack tool payload
New toolbox "Analytics" created
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 Agent Supervisor Governs Your Agents
Once you have ten, fifty, a hundred governed agents in production, you need an agent that supervises the agents. ContextGate's Agent Supervisor runs continuous audits and remediates policy violations — across every agent, on a schedule, autonomously.
Agent Supervisor
Compliance audit · 18 agents
Triggered by audit_agents · Finished 12s ago
14Pass
4Fail
Missing: IBANMissing: Sort code
Missing: Person names
Violation: Model
Violation: Tools
GDPRHIPAAISO 42001
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 Agent Supervisor 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.