AI Explainability and Trust in Cybersecurity Operations
Abhay Bhatia, Anil Kumar · Advances in information security, privacy, and ethics book series · 2025
Explainability and trust are vital in cybersecurity operations reliant on AI for threat detection and response. Many AI models, especially deep learning ones, act as “black boxes,” limiting transparency and eroding trust. Explainable AI (XAI) addresses this by clarifying decisions through techniques like feature importance scoring and counterfactual explanations. XAI enhances trust, ensures compliance with regulations like GDPR, and strengthens human-AI collaboration. By fostering transparency, organizations can act swiftly on AI-driven alerts, improve operational efficiency, and establish ethical, resilient defenses against evolving cyber threats.