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AI Governance
Governance layer for AI agents, MCP tools, iPaaS, and data pipelines with RBAC, audit trails, data masking, and compliance built in.
What is AI Governance?
Governance layer for AI agents, MCP tools, iPaaS, and data pipelines with RBAC, audit trails, data masking, and compliance built in.
Product typeAI Safety & Governance
Pricing · Usage Based
Deployment
APINot available
What teams use AI Governance for
AI agent deployment
MCP governance
Data integration
Process automation
API management
Embedded integration
Lead routing
IT service desk
Integrations and access
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
Platforms
IntegrationsAPI and webhooks
Languages
Support
What reviewers say
Community reviewsReviews are owned and editable by their authors.
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Enterprise readiness
Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.
SOC 1 Type II
SOC 2 Type II
HIPAA
GDPR
CCPA/CPRA
FIPS 140-2
Annual penetration testing
Data encrypted at rest and in transit
RBAC across workflows, agents, MCP tools, APIs, and data pipelines
Audit logging with log streaming and retention
Real-time log streaming to Splunk, Datadog, or any SIEM
Data masking for PII, PHI, and financial data in workflows
Workflow data visibility and tracing
Dynamic authentication for MCP tools
Approval gates separating dev, staging, and production
Isolated workspaces per team, region, or function
Right-to-audit in Enterprise contracts
Data retention:
Benchmarks and comparisons
Independent benchmarksStructured task results are being verified.
Side-by-side comparisonsComparison workspaces will be available in a later release.
