AI risk & compliance management
Purpose-built system of record for AI intake: teams capture use cases, models, agents and vendors, get risk-based triage, run risk and impact assessments, track mitigations and incidents, and map to regulatory frameworks with curated risk taxonomies. Framework mappings are vendor-curated interpretations, not regulator-endorsed.
commercial · generally available · Research snapshot 2026-09-06
Visit the official product source ↗AI risk & compliance management · Agent discovery & inventory
Useful conversation with: AI governance lead, Compliance officer, Legal counsel.
Show me the intake-to-approval path for a high-risk use case, including which curated framework mappings and audit evidence it produces.
Support labels reflect the supplied research. Documentation and vendor claims are not independent product tests. “Not established” means the researcher did not find support; it does not prove a capability is absent.
Vendor claim
Vendor platform page describes four stages: intake (use-case, model and vendor capture with risk-based triage), risk management (risk and impact assessments, mitigation and incident tracking), monitoring (AI metrics, regulatory and vendor alerts) and compliance (global framework mappings, control and audit evidence).
Limit: Product overview page; no technical documentation was found for assessment templates, metric collection method or evidence formats.
Vendor claim
Homepage states a single inventory covering every AI use case, model, agent and vendor, with owner and governance-role assignment and an inventory dashboard showing risk-level distribution, mitigation coverage and framework readiness.
Limit: Screenshots and counts shown are illustrative; the page does not evidence automated discovery of AI assets.
Listing does not imply partnership, supplier status, a working DutyGraph integration, or a compliance certification.
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