The platform
Six modules. One closed loop
Discover, Control, Test & Prove, Govern, Analysis, Assurance. A closed loop, not a point-in-time snapshot.
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
Explore 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
Explore 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)
Explore 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)
Explore Test runs become framework-aligned, audit-ready reports.
Every test run becomes an auditor-ready report: EU AI Act, NIST AI RMF, MAS MindForge, AI Verify, OWASP. Blockchain-anchored so a Notified Body can verify without trusting your word.
- 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
Explore 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)
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