AI Failure Index · Assessment
AI Recommender failure assessment
The failure modes that hit Recommender systems in production, the real indexed incidents behind each, and the runtime control that would have caught them.
Recommender failure surface
- 16failures on this surface
- 1catastrophic
- 31%under active regulatory exposure
Brand & Safety Incident
9 on this surface1 Catastrophic 6 High 2 MediumRuntime control Prism reads the model's representation against brand and safety policy. OmniGuard blocks inline. AIDR provides the post-incident audit trail.
Policy Violation
6 on this surface5 High 1 MediumRuntime control OmniGuard authors policy at the runtime layer and enforces it inline. Prism reads the model's intent against the policy boundary.
Data Leakage
1 on this surface1 HighRuntime control OmniGuard redacts inline. Prism observes the model's representations to flag identity-bound content before it reaches a response. AIDR provides the audit trail.
Where this surface bites hardest
See how Realm catches these failure modes at runtime, before they reach a user.
Book a Demo