Safety
Redact sensitive information and log every agent action — before it creates risk.
- PII redaction across inputs, payloads, and results
- Reduce data leakage and audit failures
- Defensible AI decision records
Platform
ContextGate sits between your enterprise systems and any LLM, brokering every tool call, policy check, and data access. Eight capabilities, one platform, one audit trail.
Every capability below is governed by the same policy engine and audit log, so compliance teams get one pane of glass instead of eight integrations.
The category-defining controls — what every agent can see, do, and access.
Read more →Define which tools, data, and actions every agent is allowed to use.
Read more →MCP-native tool brokering with policy checks on every call.
Read more →Presidio-backed redaction across inputs, payloads, tool calls, and model outputs.
Read more →Every agent decision logged with full context. Filter, search, export.
Read more →Give agents governed SQL access to company data without copying it anywhere.
Read more →One set of policies applied consistently across every LLM provider.
Read more →The workspace assistant runs continuous audits across every agent in the fleet.
Read more →ContextGate gives AI agents the same structure, rules, and oversight that real employees have — so the business can deploy them safely.
Redact sensitive information and log every agent action — before it creates risk.
Control which tools agents can use, which data they can access, and which actions they can take.
Give agents safe, governed access to company data so they can answer accurately — without copying it elsewhere.
With ContextGate, every agent operates like a governed employee:
Upload your policy documents and specifications — ContextGate's AI assistant builds production-ready, governed agents for you. No technical knowledge required.
Automatically detect and redact emails, phone numbers, SSNs, credit cards, and custom patterns.
Upload your privacy policy or compliance document to auto-generate governance rules.
Use AI-powered checks to verify intent, consent, and data minimization compliance.
Select which PII types to detect and redact
LLM-powered content validation rules
Verify any access to personal data aligns with the stated processing purpose declared in the request context.
Reject requests when the upstream consent flag is missing or expired for the data subject in question.
Block tool calls that request fields beyond the minimum needed for the agent’s stated task.
Give your AI agents secure access to real data. Use our pre-built connectors, or connect to any MCP server URL—all governed by your policies.
Secure authentication flows with credentials stored encrypted.
Every data access logged and visible in your dashboard.
PII redaction and access rules applied to all connector data.
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.
Blocked bulk delete attempt
PII redacted in Slack tool payload
New toolbox "Analytics" created
Track request volume, policy actions, and response times across all your agents in one dashboard.
Every request is logged with full context. Filter by user, tool, policy, status, and date range.
Get notified when policies block requests, rate limits approach, or anomalies are detected.
Stay independent from model vendors. ContextGate sits between your application and any LLM provider, so you can switch models without changing your governance rules.
Change models without touching your governance configuration.
One set of policies applied consistently across all providers.
Negotiate better rates and avoid vendor dependency.
Ready to govern your AI agents? Let us know about your use case and we'll help you get started.