Cyber threats are developing at a lightning-fast pace in the current digital world, rendering conventional security strategies ineffective. Organizations need to embrace sophisticated solutions to safeguard sensitive information and IT systems. Artificial Intelligence (AI) is transforming information security management by improving threat identification, automating response, and reducing cyber threats effectively. As more organizations adopt AI-based security systems, certified experts, including holders of the Certified Information Security Management Practitioner (CISMP) certification, are instrumental in executing solid security policies. How AI is Revolutionizing Information Security Management 1. AI-Driven Threat Detection and Prevention Cyber attacks, such as malware, phishing, and ransomware, are becoming increasingly sophisticated. Conventional security measures depend on rules and signatures defined beforehand to identify threats, which may prove to be ineffective against emerging or new attacks. AI-based solutions leverage machine learning (ML) and behavioral monitoring to detect suspicious behavior in real time. Through constant analysis of patterns and anomalies, AI can identify zero-day vulnerabilities and unknown threats before causing harm. 2. Automated Incident Response Manual response to security incidents is time-consuming and error-prone. AI improves incident response by automating threat mitigation. Security orchestration, automation, and response (SOAR) solutions employ AI to evaluate the severity of security incidents and trigger the correct actions. This saves response time, reduces human intervention, and facilitates a quick resolution of security breaches. 3. Improved Risk Assessment and Compliance Compliance with regulations is an essential part of information security management. AI helps organizations stay compliant with security standards like ISO 27001, GDPR, and NIST by keeping systems under constant surveillance and detecting non-compliance. AI-based risk assessment software scans enormous volumes of data to forecast possible vulnerabilities, enabling security teams to take proactive steps and reduce risks before they become a problem.