Govern every AI. Prove it to every auditor.

See every AI in your estate. Know who it talks to, what it touches, and how exposed it is.

Complete visibility over your AI estate - systems, agents, tools, MCP servers, data sources, non-human identities, and shadow agents - with a live identity graph, 3D ontology explorer, and compliance fingerprint per system.

• AI Systems inventory
• AI Agents inventory
• Tools inventory
• MCP Servers inventory

Policy decides. Humans approve. Runtime proves.

Every AI action governed by policy, approved by a human, and proven by a tamper-evident runtime feed. Kill Switch for emergency halt, MCP Control Gateway for protocol-level enforcement, and delegation grants for least-privilege identity.

• Policy Studio (YAML/JSON)
• Approval Queue (human-in-the-loop)
• Runtime Feed (tamper-evident, hash-chained)
• Authority Decisions

Five steps. From model to provable safety report.

A structured 5-step workflow - Connect Model → New Test → Run & Results → Reports → Test Modules - with 82 connected models in production. Defensive layer includes 7 guardrails, custom vulnerability definitions, and an AI Firewall operating in Block / Redact / Observe modes.

• Connect Model (step 1)
• New Test configuration (step 2)
• Run & Results (step 3)
• Reports catalogue (step 4)

12 frameworks. 120 controls. One operating model.

A single governance operating model across 12 regulatory frameworks (120 controls, 38 critical-severity). Conformity Pipeline with state-machine lifecycle and score gates. Risk Classification Wizard outputs EU AI Act Article 6 risk tier. Auto-generated Annex IV Dossier. Intent Baseline detects behavioural drift.

• Frameworks catalogue (12)
• Controls Library (enforce/monitor modes)
• Policy Studio (YAML/JSON, simulate-before-enforce)
• Conformity Pipeline (state machine, score gates)

Test runs become framework-aligned, audit-ready reports.

Every test run produces framework-specific analysis: OWASP LLM Top 10 (10 categories, 34 attacks, 27 vulnerability checks), EU AI Act (16 articles, PASS/FAIL verdict), NIST AI RMF (72 subcategories, 12 GAI risks), Red-Team assessment, MAS MindForge (7 dimensions, 17 considerations), AI Verify AIVTF (11 principles, 62 outcomes, 112 checks), Benchmark Suite (9 Moonshot cookbooks), and a blockchain audit log with chain integrity verification.

• OWASP LLM Top 10 analysis
• EU AI Act analysis (16 articles, PASS/FAIL verdict)
• NIST AI RMF analysis (72 subcategories, 12 GAI risks)
• Red-Team assessment

Continuous, not point-in-time.

Scheduled testing triggers continuous monitors that track compliance drift across all models and frameworks. The Compliance Status matrix shows live posture including HIPAA and CCPA. An immutable, hash-chained audit log records every platform event, exportable as JSON. Worker Health provides operator-level visibility into the Arq task workers.

• Continuous Monitors (scheduled testing → drift detection + compliance tracking)
• Compliance Status matrix (all models × all frameworks, including HIPAA + CCPA)
• Audit Log (immutable, hash-chained, JSON export)
• Worker Health (Arq workers, operator/SRE surface)