AI is revolutionizing incident response from a reactive to a proactive approach by identifying threats, automating tasks, and improving response times. Machine learning models continuously analyze network activity to detect anomalies, and vendors like CrowdStrike and Microsoft are leading with AI-driven solutions. Natural Language Processing (NLP) aids in analyzing incident reports, while security vendors are integrating AI for autonomous responses. However, trust and evolving APIs remain challenges to full AI autonomy in cybersecurity.
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