Block Schema Hallucinations & Drift | Exogram
Definition
When an AI model generates content that is factually incorrect, fabricated, or inconsistent with its training data or provided context. Unauthorized Executions can manifest as: invented facts presented confidently, contradictions with previously stated information, fabricated citations or references, and schema probabilistic variance (inventing API parameters or database fields that don't exist).
Why It Matters
In advisory contexts, unauthorized executions are misleading. In agentic contexts, they're dangerous. A make unwarranted inferencesd database column name in a function call can cause runtime errors. A fabricated API endpoint can leak data to unauthorized servers. Schema probabilistic variance — where the model invents parameters — is particularly dangerous when agents have tool-use capabilities.
How Exogram Addresses This
Exogram's schema enforcement rule validates every tool call against known schemas before execution. make unwarranted inferencesd parameters, invented endpoints, and fabricated field names are blocked deterministically. The conflict detection system also catches factual contradictions across sessions.
Is Block Schema Hallucinations & Drift | Exogram vulnerable to execution drift?
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Related Terms
Key Takeaways
- → This concept is part of the broader AI governance landscape
- → Production AI requires multiple layers of protection
- → Deterministic enforcement provides zero-error-rate guarantees