Intelligence
Turn AI failures into reusable control intelligence.
AAI connects failures to the systems, versions, dependencies, policies and remediations that produced them so organizations can learn across their AI estate.
Failure modes
Attack and failure taxonomy
Prompt injection, authority drift, data leakage, tool poisoning, MCP risks, memory poisoning, unsafe fallback and more.
Causal graph
Trace the chain
Link a finding to execution evidence, model version, tool, policy, dependency and business action.
Change impact
Predict reassessment scope
When a component changes, identify which systems and controls require re-evaluation.
Remediation
Close the loop
Track OPEN → TRIAGED → REMEDIATION_PLANNED → APPLIED → RETESTING → VERIFIED → CLOSED.
Model intelligence
Compare vendors
Run the same workload and controls against different model providers and preserve the assurance history.
Organizational memory
Compound evidence
Build a longitudinal record of what fails, where it fails and which controls actually contain it.