Unified AI Governance. Full Lifecycle. One Platform.

Register, track, and govern AI agents throughout their lifecycle with structured approval workflows ensuring agents meet organizational policies before deployment.

Catalog AI models across providers with provenance tracking, version management, and automated governance approval ensuring models meet compliance requirements.

Maintain inventories of tools and data sources with dependency mapping, enabling organizations to understand what resources AI systems consume and produce.

Document platforms and services that host AI workloads, establishing the infrastructure layer of your governance architecture for complete traceability.

Govern Model Context Protocol servers with approval workflows purpose-built for the agentic AI era, ensuring MCP tools meet security and compliance standards.

Track AI use cases from ideation through deployment with lifecycle status, compliance mapping, and dependency chain visibility across all associated entities.

Continuously scan your AWS environment to surface AI models and services running outside governance, then bring them under management in one action — closing the gap between what exists and what's governed.

Detect overlapping AI initiatives before they ship. AIXYRA flags use cases and agents that are semantically similar to work that already exists, so teams consolidate effort instead of governing duplicates.

Two-phase approval process (Fit for Purpose, Fit for Use) with configurable checkgates, role-based reviewers, and tag-based approval routing.

Configurable governance checkgates that adapt approval requirements to your organization's risk appetite and regulatory obligations.

Express your governance rules as policy-as-code and validate every change against them automatically. Built on the open Open Policy Agent (OPA) and Rego standard, so your policies stay portable, testable, and enforced consistently before anything ships.

Track non-functional requirements — performance, security, reliability, scalability — alongside regulatory compliance, and hold governance approval until they are met, so systems are production-ready, not just compliant.

Author and version your own governance assessment templates in a built-in studio — tailor questionnaires, checkgates, and evidence requirements to your organization's standards.

Map AI systems against EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR, and custom frameworks with automated assessments and audit-ready evidence.

Automated risk assessment that propagates scores through the 6-layer architecture dependency chain, revealing how risks cascade across interconnected AI systems.

Automated extraction and mapping of regulatory articles to platform entities, reducing manual compliance effort and ensuring coverage of evolving requirements.

Track regulatory and internal compliance deadlines in one calendar — recurring obligations, status at a glance, and iCal export so due dates appear in Outlook or Google Calendar automatically.

A curated knowledge base of technology risk profiles feeds your risk scoring. Tune baseline scores to your organization's risk appetite — no code required — and reset to defaults anytime.

Interactive 6-layer dependency visualization showing relationships between agents, models, tools, data sources, platforms, and services for complete traceability.

Define and evolve your target architecture as code — versioned, reviewable, and repeatable. Capture how your AI systems and technology should fit together, then see drift as what you actually build changes over time.

Hierarchical classification system for organizing AI entities by domain, risk level, and business function, enabling structured governance at scale.

Full observability stack with metrics, traces, logs, and alerts built on open standards, providing real-time visibility into governance health and system performance.

Generate compliance documentation and audit evidence on demand, demonstrating governance posture to regulators, auditors, and executive stakeholders.

Connect to external data catalogs for lineage tracking, data quality monitoring, and governance coverage across your organization's data estate.

Governance that continues after deployment. Monitor the health of models and agents in production and automatically trigger governance re-review when performance drifts past thresholds you define.

Executive-ready reports and KPIs across risk, compliance, lifecycle, and ownership — governance posture at a glance, with exports for board and audit reporting.

Collaborative governance planning space where teams propose, discuss, and prioritize AI initiatives before they enter formal governance workflows.

A conversational AI assistant — private to your organization — that helps your teams navigate governance processes, answer compliance questions, and reach decisions faster.

Invite reviewers outside your organization — partners, advisors, or independent experts — to review governance records through secure, time-limited invitations, with every submission tracked alongside the record.

Keep reviewer questions and owner responses on the governance record itself — threaded conversations with unread tracking, so decisions are documented in context instead of scattered across email.

Context-aware help built into every page — field-level guidance and step-by-step how-to guides, so teams complete governance tasks without leaving their work.

Single sign-on integration with enterprise-grade access control, so the right people reach the right governance data — and your data stays private and separate.

Flexible tag-based routing for governance approvals and clear entity ownership management, enabling decentralized governance at enterprise scale.