AI Failure Index · Assessment

AI Computer Vision failure assessment

The failure modes that hit Computer Vision systems in production, the real indexed incidents behind each, and the runtime control that would have caught them.

Computer Vision failure surface

  • 58failures on this surface
  • 1catastrophic
  • 31%under active regulatory exposure

  1. Policy Violation

    27 on this surface
    19 High 8 Medium

    Runtime control OmniGuard authors policy at the runtime layer and enforces it inline. Prism reads the model's intent against the policy boundary.

  2. Hallucination

    16 on this surface
    9 High 6 Medium 1 Low

    Runtime control Prism observes hallucination signatures in the model's internal state. AIDR flags the moment the model commits to a fabricated claim. OmniGuard can block the response inline.

  3. Brand & Safety Incident

    7 on this surface
    1 Catastrophic 2 High 3 Medium 1 Low

    Runtime control Prism reads the model's representation against brand and safety policy. OmniGuard blocks inline. AIDR provides the post-incident audit trail.

  4. Identity & Access Drift

    4 on this surface
    4 High

    Runtime control OmniGuard enforces identity-bound scope at every tool call. AgentRealm reconciles agent action with the assigned principal in real time.

  5. Tool Misuse

    2 on this surface
    1 High 1 Medium

    Runtime control AgentRealm inspects each function call against the agent's stated intent. OmniGuard can require human-in-the-loop for high-risk tools.

  6. Agentic Action Error

    2 on this surface
    2 High

    Runtime control AgentRealm is purpose-built for this. The agent-runtime layer above Prism and OmniGuard inspects each tool call against intent and scope, and intervenes before the action commits.

Where this surface bites hardest

See how Realm catches these failure modes at runtime, before they reach a user.

Book a Demo

Email me this assessment