Enterprise AI Governance
The Enterprise AI and Agent Governance Platform
Aitra gives enterprises centralized visibility across AI systems, agents, and models, manages AI risk, enforces policies and regulatory compliance, and maintains continuous, audit-ready oversight.
The Governance Gap
AI adoption is outpacing governance.Agents just raised the stakes.
Enterprises are deploying AI systems, agents, and models at unprecedented speed – and agents now act with real access and real consequences. But governance remains fragmented, manual, and disconnected from operations.
Lack of Visibility
Enterprises lack a complete view of their AI ecosystem, making control and oversight impossible.
Policies on Paper
AI policies live on paper instead of being enforced as operational controls.
Ungoverned Agents
Agents already access core enterprise platforms with delegated authority, yet remain largely invisible to governance.
Fragmented Ownership
Governance spans multiple teams and disconnected tools creating friction, unclear accountability and bottlenecks that stall deployment.
Introducing Aitra
Unified Governance for AI and Agents
Aitra operationalizes governance across the AI lifecycle, manages AI risk and regulatory compliance, and extends continuous oversight to agents in distributed enterprise environments.
AI Lifecycle Governance
Register, classify, govern, and monitor AI systems, agents, and models across the enterprise with risk-aligned controls, policy-driven workflows, and continuous oversight from intake through operations.
Risk & Compliance
Standardize AI governance and risk management with pre-built controls cross-mapped to major global AI regulations and standards.
Agent Governance
Govern autonomous agents across vendor platforms, agent runtimes, APIs, and enterprise environments with agent-specific policies and continuous verification.
The Platform
End-to-End AI Governance
One integrated platform to identify every AI system and agent, assess risk, enforce policies and controls, govern agent activity, and maintain continuous oversight with audit-ready evidence and reporting.
AI & Agent Registry
Full visibility into your AI estate
Centralized inventory of every AI system, agent, model, dataset, use case, vendor, and project for one governed view of your AI landscape.
- Agent Registry with mapped multi-agent workflows
- Dependency mapping across every AI asset
- Real-time inventory updates with lifecycle tracking
- Automated ownership and accountability
Risk & Compliance
Turn governance policies into enforceable operational controls
Assess contextual risk and apply policies to manage system-specific and agentic risks — scored continuously as systems evolve. Pre-built controls mapped to the EU AI Act, NIST AI RMF, ISO/IEC 42001, and agentic governance frameworks.
- Risk classification aligned to critical dimensions including regulatory exposure, business impact, and agent autonomy
- Pre-built frameworks, policies, and controls mapped to major AI regulations and standards
- Agentic controls for agent behavior, authority, and operating boundaries
- Audit-ready evidence and reporting on demand
Agent Governance
Govern agent authority, boundaries, and behavior
Define a responsibility and authority profile for every agent. Apply agent-specific policies and control boundaries across platforms and runtimes with continuous verification against runtime evidence from your existing observability stack.
- Responsibility and authority profiles for every agent
- Agent workflow registration for single- and multi-agent workflows
- Agent-specific controls for identity, tools, data, and human oversight
- Continuous control verification with findings, remediation, and re-verification
Continuous Operational Governance
Governance that keeps pace with change
Monitor AI context continuously and apply automated governance workflows across your AI portfolio. Continuous evaluation of agent behavior detects control violations and routes them for remediation.
- Continuous risk monitoring with real-time alerts
- AI-assisted evidence validation with automated evidence collection
- Automated compliance workflows for gap remediation
- Runtime agent control verification for policy and boundary violations
One Platform to Govern AI and Agents
Map. Govern. Prove.
Map
AI Visibility
Build a comprehensive inventory of your AI landscape, including AI systems, agents, and models. Connect ownership, dependencies, risk, controls, and lifecycle state to provide shared context for business, risk, compliance, security, and technology teams.
Govern
Manage risk and enforce policies across your AI portfolio
Assess risk based on use-case context and manage AI and agent risk across the lifecycle. Automatically map AI systems to applicable regulations based on use case, location, and risk level, enforce aligned policies and controls, and apply agent-specific controls to govern agent behavior.
Prove
Verify controls and compliance
Continuously monitor changes as AI and operating context evolve, verify controls, maintain audit-ready evidence with complete audit trails, and generate compliance reports on demand.
Agent Governance
Govern agents across the enterprise with purpose-built oversight and controls
Aitra provides a central governance layer for agents operating across distributed AI platforms and enterprise environments. Register agents and workflows, assess risk, define responsibility and authority, apply agent-specific controls mapped to native enforcement systems, and continuously verify that approved boundaries remain in place.
- Agent Registration
- Risk Assessment
- Responsibility & Authority Profiles
- Workflow Governance
- Enforcement Mapping
- Continuous Verification
Get Started
Govern the AI you have. Prove it.
Gain visibility across your AI portfolio and operationalize governance from intake through ongoing oversight, keeping the enterprise continuously audit-ready.
Schedule a Demo