Operate an AI estate with evidence, authority and control.
AAI gives security, platform, engineering and risk teams one continuously updated view of what AI exists, what it can do, whether it is behaving inside its boundaries and what action should happen next.
AI Asset Registry
Durable identities for agents, models, tools, MCP servers, APIs, datasets, owners, environments and versions.
Permission & dependency graph
Trace agent → identity → permission → tool → data → business action and detect authority drift.
Independent evaluation
Run adversarial and realistic scenarios, correlate traces, findings, evidence and policy.
Release + runtime enforcement
Gate deployments and authorize consequential tool/API actions against current trust state.
Enterprise evidence fabric
Keep provenance, approvals, findings, incidents and assurance history linked and verifiable.
Failure + change intelligence
Understand recurring failure patterns and automatically identify systems affected by material changes.
Private enterprise deployment
Support private cloud, VPC, on-prem and hybrid operating models with enterprise identity and audit.
Policy and compliance evidence
Map requirements to controls, evidence, remediation and verification without turning AAI into a generic compliance portal.
Fleet-level operations
Executive posture, engineering detail, risk queues, incidents and approval workflows in one control plane.