Entropy-Based Hallucination Detector

Software componentSafety & SecuritySafety, Security & Governancearc:EntropyBasedHallucinationDetector

A tool hallucination detector that monitors token-probability entropy while the generating model produces parameter values and flags values whose entropy exceeds thresholds derived from correct-invocation baselines.

Responsibility. Flags tool parameters generated with high model uncertainty as likely fabrications.

Also known as: Entropy analysis, Confidence measures

Variant of Tool Hallucination Detector abstract

When to choose. Choose when the generating model's token probability distributions are observable during parameter generation, so uncertainty can be measured without a separate model.

Direct neighbourhood (hover for relationship types)

Relationships

receives data from dynamic

LLM Inference Service Ch3.7

alternative to variability

Verifier-Model Hallucination Detector Ch3.7

Design guidance

SHOULD compare parameter-generation entropy to baselines from correct invocations and trigger validation when thresholds are exceeded.

Classification

Patterns: Entropy-based uncertainty detection
Quality attributes: Safety (ISO/IEC 25010 | NIST AI RMF: safe)
Risks mitigated: Plausible-looking fabricated parameter values

Sources

Ch3.7: T. Nguyen, "Tool Usage Auditing," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 3.7. ISBN: 9798244538229.