Hallucination occurs when a generative AI model confidently produces output that isn’t grounded in facts or training data. In LLMs, this might include:
Hallucinations are particularly dangerous in customer-facing tools, knowledge assistants, and regulated environments like healthcare or finance. They can lead to misinformation, compliance failures, or loss of user trust.
Factors that increase hallucination risk include:
How PointGuard AI Helps:PointGuard detects hallucination through adversarial testing, red teaming, and runtime monitoring. It flags high-risk prompts and unstable output patterns, and integrates controls to block or review questionable responses. This ensures that users receive accurate, reliable content even in complex LLM applications.Learn more: https://www.pointguardai.com/ai-security-testing
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