This research reveals that LLMs can produce high-certainty hallucinations - false information delivered with confidence - challenging previous detection methods that rely on uncertainty signals.

• Identifies a distinct category of hallucinations that models express with high confidence
• Demonstrates that up to 38% of hallucinations occur with high certainty across various models
• Shows these confident hallucinations are particularly resistant to current detection techniques
• Highlights significant security risks when systems and users trust confident but false outputs

For security professionals, this research emphasizes the need for more sophisticated hallucination detection methods that don't rely solely on model confidence signals, particularly in high-stakes applications like cybersecurity analysis or threat detection.

Trust Me, I'm Wrong: High-Certainty Hallucinations in LLMs