The safest way to let an AI agent prioritize incident alerts is by implementing a robust human-in-the-loop model. This ensures that while AI provides initial triage and scores based on severity and impact, human analysts always retain final oversight and decision-making authority. Crucially, the system must prioritize transparency and explainability, allowing the AI to articulate why an alert received a certain priority, aiding human validation. A phased rollout strategy is essential, starting with AI recommendations in a shadow mode or for less critical alerts, combined with continuous performance monitoring against human benchmarks. This approach, bolstered by clear feedback mechanisms for correcting AI errors, prevents critical misjudgments and fosters trust, ensuring that safety remains paramount in incident response. More details: https://service.k28.de/out/?https://infoguide.com.ua/