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 Discovery & Registry
Centralized inventory with discovery of AI systems, agents, models, datasets, and vendors across your enterprise for visibility into your entire portfolio.
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 Discovery & Registry
Full visibility into your AI estate
Discover and register AI systems, agents, and models across your cloud, data, and agent platforms in one system of record that stays current.
- Agent Registry with multi-agent workflows
- Mapped dependencies and relationships
- Accountable owner and risk classification on every AI entity
- Automated discovery from AWS, Azure, GitHub, MLflow, Databricks, and connected enterprise sources
AI Risk Management
Manage risk across your portfolio
Assess AI and agent risk across regulatory, enterprise, and technical dimensions, enforce risk-based controls, and continuously monitor risk posture and control effectiveness.
- Dynamic aggregate risk scoring
- AI and agent risk library with controls
- Continuous monitoring through observability integrations
- Automated remediation workflows
AI Policy & Compliance
Operationalize policy and compliance
Turn AI policies and regulations into operational controls, continuously verify compliance with automated evidence collection and audit packages on demand.
- Pre-built control library mapped to EU AI Act, NIST AI RMF, ISO/IEC 42001, and global AI standards.
- Continuous compliance monitoring and gap detection
- Audit-ready evidence with AI-assisted validation
- On-demand compliance reporting
Agent Governance
Govern agents across platforms and workflows.
Inventory agents and define their authority, apply policy-driven controls across platforms, continuously monitor behavior, and respond to violations.
- Cross-platform agent discovery and registry
- Agent controls mapped to regulations
- Behavioral monitoring with enforcement integrations
- Contextual violation detection and remediation playbooks
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 every agent across platforms
A central governance layer across AI platforms and enterprise environments that continuously monitors agent behavior, evaluates every action against approved authority and policy boundaries, and responds to violations with escalation and remediation.
Map
Agent Discovery & Authority
Discover and inventory agents across platforms, and define each agent's operating boundaries — responsibilities, authorized tools, systems, data, end-to-end workflows, and execution path.
Govern
Policy & Controls
Assess agent risk, apply runtime and deployment controls aligned with business context, organizational policies, and regulatory requirements, enforced through enterprise systems, and identify control gaps.
Prove
Runtime Monitoring & Response
Continuously monitor agent behavior and evaluate runtime actions against authorized boundaries. Detect violations in real time, investigate with correlated execution evidence, and drive remediation through response playbooks.
Govern Your AI and Agents
Centralized visibility, risk and controls, compliance, and continuous oversight to help enterprises scale AI safely and with confidence.
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