| Orchestration Does | Orchestration Cannot Answer |
|---|---|
| Coordinate tasks and workflows | Was the agent authorized to act? |
| Route decisions between systems | Was the context trustworthy? |
| Execute business logic at speed | Who is accountable for that decision? |
Are agent outputs trustworthy?
Is the information authoritative?
Who is allowed to act, and when?
Why did this decision happen?
Who owns the outcome?
When does the system fail safely?
Automatically surfaces every AI agent, model, tool, dataset, API, and owner across the enterprise — mapping agent topology, identifying shadow AI, and exposing blast radius before risk becomes an audit finding.
Best for: organizations that need foundational visibility into what AI is running, what it touches, and who is accountable.
Provides pre-built obligation catalogs for major frameworks — EU AI Act, GDPR, DORA, ISO 42001, SOC 2, and more — with automated playbook generation and real-time regulatory change intelligence.
Best for: organizations that need to operationalize multiple frameworks quickly as mandates evolve.
Measures compliance posture continuously against regulations, policies, obligations, and evidence requirements — with gap heatmaps, evidence health monitoring, and audit readiness scoring by framework.
Best for: enterprises with ongoing audit obligations that need a live, exportable view of where they stand and what to prioritize.
Turns compliance gaps into governed action — managing approvals, access revocation, policy enforcement, remediation workflows, and kill switches with full audit-ready action trails.
Best for: enterprises that need to close the loop between compliance findings and what their AI agents are actually doing.
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