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AI Governance

AI safety and governance · by Tray.ai

Governance layer for AI agents, MCP tools, iPaaS, and data pipelines with RBAC, audit trails, data masking, and compliance built in.

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What it does

Governance layer for AI agents, MCP tools, iPaaS, and data pipelines with RBAC, audit trails, data masking, and compliance built in.

  • AI agent deployment
  • MCP governance
  • Data integration
  • Process automation
  • API management
  • Embedded integration
  • Lead routing
  • IT service desk
Category
AI safety and governance
Users
Enterprise teams, IT and business technology teams, Data and AI teams
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Pricing

  • Free trial$0

Prices as published by Tray.ai, checked Oct 2026.

Security and compliance

As reported by Tray.ai. Ask for audit reports before you buy.

  • SOC 1 Type IICertified
  • SOC 2 Type IICertified
  • HIPAACertified
  • GDPRCompliant
  • CCPA/CPRACompliant
  • FIPS 140-2Certified
  • Annual penetration testingCompliant
  • 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

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