Aitra Quanta

Enterprise AI Governance Platform

Govern Every AI System and Agent Across the Enterprise

Discover, classify, govern, and monitor AI systems, agents, and models across your enterprise. Assess and manage AI risk, enforce policies and compliance, and continuously govern agent behavior with audit-ready oversight. Complete AI lifecycle governance.

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Aitra registry of AI systems, agents, models, and risk across the enterprise

Platform modules

One Connected Platform for AI and Agent Governance

Aitra discovers agents, models, and systems across your cloud, data, and AI platforms, identifies and manages risk, verifies controls continuously, automates evidence collection, and evaluates agent behavior at runtime. One shared context across business, governance, security, and engineering teams - embedding governance into day-to-day operations.

  • AI Discovery & Registry

    Centralized inventory of every AI system, agent, model, dataset, use case, vendor, and project for one governed view of your AI landscape.

    • Discover AI across AWS, Azure, GitHub, MLflow, Databricks, and connected enterprise sources
    • Agent Registry with multi-agent workflows
    • Map dependencies across AI systems, agents, models, and data
    • Track ownership, risk classification, lifecycle state, and business context

  • AI Risk Management

    Contextual risk assessment with dynamic scoring, an AI and agent risk library with mapped mitigating controls, and continuous monitoring of drift, performance, and agent behavior.

    • AI & Agent Risk Library covering prompt injection, data leakage, goal drift, and other AI and agentic risks
    • Dynamic risk scoring with inherent and residual risk
    • Continuous monitoring of risk posture and control effectiveness
    • Automated Risk Reassessment & Response with remediation workflows

  • AI Policy & Compliance

    Policy-driven controls aligned to the EU AI Act, NIST AI RMF, ISO/IEC 42001, with continuous control verification, and audit-ready evidence collected automatically.

    • Pre-built regulatory and policy control library
    • Policy-to-control mapping across AI systems and agents
    • Continuous control verification with gap detection and remediation tracking
    • Automated evidence & audit packages with AI-assisted validation

  • Agent Governance

    Consistent policies and controls across first- and third-party agent platforms, continuous runtime evaluation, and contextual violation detection with automated response playbooks.

    • Out-of-the-box responsibilities and authority by agent class
    • Deployment and runtime controls for agent identity, tool calls, data access, delegation
    • Configuration drift and unauthorized behavior detection
    • Automated escalation and remediation

Regulatory alignment

Global AI Regulations, Standards & Frameworks

Automatically map AI systems to applicable requirements based on use case, risk, and geography.

Pre-built controls for major AI regulations and standards, emerging agentic frameworks, and industry-specific requirements.

  • EU AI Act

    Risk classification, controls, and conformity assessments

  • NIST AI RMF

    Govern, Map, Measure, and Manage functions

  • ISO/IEC 42001

    AI management system controls with audit evidence

  • GDPR (AI provisions)

    AI data protection, privacy, and processing requirements

  • SOC 2
  • NYC Local Law 144
  • Colorado AI Act
  • OMB M-25-21
  • NAIC AI Model Bulletin
  • Industry-specific requirements

Agent Governance

Purpose-Built Agent Governance Across Platforms

Map each agent's ownership, dependencies, delegated authority, and operating boundaries. Govern behavior with policies translated into controls across systems and workflows. Prove those controls remain effective through continuous runtime verification, evidence, and remediation.

Register & Define Operating Boundaries

Register custom-built, third-party, and embedded agents with accountable ownership, dependencies, delegated authority, and end-to-end workflows - defining autonomous actions and human oversight checkpoints.

  • Centralized Agent Registry
  • Ownership & Accountability
  • Delegated Authority & Human Oversight

Why Aitra

Built for Enterprise AI and Agent Governance

One governance layer for AI and agents, connected to your stack, contextual to your business, continuous by design, and configurable to your operating model.

  • Unified Governance Layer for AI and Agents

    One governance layer across AI systems, agents, models, data, and vendors — replacing fragmented oversight with connected governance across the enterprise.

  • Cross-Platform Agent Governance

    Traditional and model-focused governance tools were not built for autonomous agents. Purpose-built for cross-platform agent governance with end-to-end workflow traceability and continuous verification of native controls and guardrails.

  • Continuous and Contextual Governance

    Real-time monitoring, continuous evaluation, and configuration assurance for governance that keeps pace as AI evolves. Context-aware governance that draws on enterprise business context, dependencies, and connected systems to apply the right controls and oversight.

  • Configurable Governance at Scale, Built for Your Enterprise

    Connect across cloud, data, AI, and agent platforms to power discovery, evidence collection, control verification, and continuous monitoring. Configure workflows, risk models, thresholds, and approvals to align governance with your enterprise operating model.

  • AI Regulations & Standards, Out of the Box

    Pre-built controls and regulatory mappings for the EU AI Act, NIST AI RMF, ISO/IEC 42001, and other major AI regulations and standards, with assessments, evidence, and audit-ready documentation built into the governance workflow.

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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