AI systems designed to provide clear, understandable explanations for their decisions and predictions, enabling users to comprehend and trust automated reasoning processes.
Explainable AI is crucial for insider threat detection systems as security analysts need to understand why the system flagged certain behaviors as suspicious. XAI helps reduce false positives, enables faster investigation, and supports legal requirements for decision transparency. When investigating potential insider threats, explainable models can show which specific behaviors, access patterns, or contextual factors contributed to the risk assessment, enabling more effective and fair investigations.