AI Governance 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 the same approval workflow as everything else in the registry, so agents reach external tools only after the tools have cleared security and compliance review.

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

Find the AI you did not know you had. AIXYRA scans your cloud accounts and your model providers, surfaces the models, agents and services running outside governance, and brings them under management in one action.

Check an agent before anyone builds it. AIXYRA compares a proposed agent or use case against what already exists, recommends what to reuse, and flags overlap early — 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 automatically, on the open Open Policy Agent (OPA) and Rego standard. Each policy has its own review-to-published lifecycle, can be dry-run across existing records first, and attaches to a criterion as advisory or blocking.

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.

Governance assessment templates matched to your organization's standards — questionnaires, checkgates, and evidence requirements, versioned and applied to your governance criteria rather than rebuilt for every review.

Enforce governance where software ships: a ready-made GitHub Action and policy-check API fail the pipeline when an AI artifact has not cleared its required governance phase — no ungoverned deployments.

Map AI systems against thirteen built-in frameworks — EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR, UK GDPR, CCPA/CPRA, ISO/IEC 23894, ISO/IEC 27001, NIST CSF 2.0, SOC 2, DORA, OCC Model Risk Management, OWASP LLM Top 10 — plus 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.

Generate audit-ready model cards aligned to EU AI Act Article 13 transparency requirements directly from your registry data — exportable as PDF or JSON and refreshed as models change.

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.

Connect the monitoring stack you already run — Datadog, Prometheus, LangSmith, Langfuse, Amazon SageMaker, and OpenTelemetry-based sources — for metrics, traces, logs, and alerts on open standards, with real-time visibility into governance health.

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. Track how models and agents behave in production — including guardrail violations, runaway loops and escalations to a human — and trigger governance re-review automatically when they drift past the thresholds you set.

See what your AI actually costs. Spend and usage broken down by model and tracked over time, with alerts when consumption jumps unexpectedly — so governance answers the finance question as well as the risk one.

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.

Enterprise single sign-on over SAML and OIDC, SCIM 2.0 automated user provisioning, multi-factor authentication, and role-based 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.

Query governance status, compliance summaries, and risk overviews from any MCP-compatible client or AI assistant — scoped to what your organization has chosen to expose, with dedicated revocable API keys and a full audit trail.

Run AIXYRA's AI-powered features on your organization's own model endpoints and keys. Credentials are encrypted at rest, masked in every response, and never written to logs or telemetry.