For CIOs & AI Leaders

AI Agent Governance for CIOs & AI Leaders

Deploy enterprise AI agents safely with governance, compliance, and control built in. ContextGate is the layer that lets your AI initiatives ship without becoming a board-level risk.

What changes when ContextGate is in place

Your AI program stops being a series of risky pilots and starts looking like managed infrastructure your CISO, GC, and board can sign off on.

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Deploy AI agents at scale

Move beyond AI pilots β€” bring governed agents into production across the business without losing sleep.

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Cut regulatory exposure

Every agent action is gated by policy and logged for GDPR, HIPAA, SOX, ISO 42001 β€” without bespoke pipelines.

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One vendor, one audit trail

Govern OpenAI, Anthropic, Google, Azure OpenAI, and your own models through a single policy engine.

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Sleep through agent outages

Continuous fleet audits surface policy drift, off-allowlist tools, and PII regressions before the regulator does.

Why Enterprises Can't Deploy AI Agents Without Governance

AI agents are not just chatbots. They are digital workers that can take actions, use tools, access company systems, make decisions, and run entire workflows. Without governance, that creates a new enterprise risk.

Access data they should not see
Broad system access can expose private, regulated, or confidential records to the wrong people β€” or the wrong workflows.
Take actions they are not authorized to take
Agents can use tools, trigger workflows, update systems, or send information far outside their intended role.
Guess when they cannot reach the right data
When agents lack safe access to grounded information they hallucinate β€” leading to wrong answers and operational risk.
Expose sensitive data
Without redaction, PII and regulated payloads leak into prompts, tool calls, model providers, and downstream logs.
Leave no audit trail
If you cannot show exactly what an agent saw, said, or did, you cannot pass an audit or defend a regulatory review.
Create regulatory and operational risk
Ungoverned agent behavior maps directly to GDPR, HIPAA, SOX, ISO 42001 and emerging AI Act exposure.

No bank, insurer, hospital, government agency, or regulated enterprise can deploy agents at scale unless they can control and audit them. ContextGate is the missing governance layer for enterprise AI agents.
Read the AI agent governance whitepaper β†’

The Solution

Turn Agents Into Governed Digital Employees

ContextGate gives AI agents the same structure, rules, and oversight that real employees have β€” so the business can deploy them safely.

Pillar 1

Safety

Redact sensitive information and log every agent action β€” before it creates risk.

  • PII redaction across inputs, payloads, and results
  • Reduce data leakage and audit failures
  • Defensible AI decision records
Pillar 2

Governance

Control which tools agents can use, which data they can access, and which actions they can take.

  • Tool, data, and action permissions per agent
  • Workflow approvals for high-risk steps
  • Like an access badge β€” agents only open allowed doors
Pillar 3

Performance

Give agents safe, governed access to company data so they can answer accurately β€” without copying it elsewhere.

  • Zero-copy SQL access to company data
  • Reduce hallucinations with grounded retrieval
  • Improve answer accuracy under governance controls

With ContextGate, every agent operates like a governed employee:

βœ“Only sees approved data
βœ“Only uses approved tools
βœ“Only takes approved actions
βœ“Every decision is logged
βœ“Sensitive data is redacted
βœ“Compliance teams get a full audit trail
MCP Connectors

Connect to 0+ Apps

Give your AI agents secure access to real data. Use our pre-built connectors, or connect to any MCP server URLβ€”all governed by your policies.

OAuth & API Keys

Secure authentication flows with credentials stored encrypted.

Real-time Audit

Every data access logged and visible in your dashboard.

Policy Enforcement

PII redaction and access rules applied to all connector data.

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 β€” 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 β€” 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 Β· 18 agents

Triggered by audit_agents Β· Finished 12s ago

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

Continuous audits

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

Catch violations early

Flag agents that fail any rule β€” new tools added, redactions disabled, non-allowlisted models β€” 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 β€” 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.

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