AI and machine learning are increasingly being utilized by both cybercriminals and cybersecurity professionals. Attackers are leveraging AI to create sophisticated malware and personalized phishing attacks, while cybersecurity teams are using AI for behavioral analytics, endpoint management, and real-time threat detection. This dual use of AI is transforming the cybersecurity landscape, making it essential for organizations to adopt AI-driven solutions to stay ahead of threats.

Key use cases for AI in cybersecurity include behavioral analytics, endpoint discovery, and vulnerability management. For instance, AI-based behavioral analytics help identify anomalies in user behavior, while AI-driven endpoint management improves the protection of devices. Additionally, AI is being used to streamline patch management processes, reducing the time and complexity involved in addressing vulnerabilities.

The market for AI in cybersecurity is projected to grow significantly, with estimates suggesting it could reach $60.6 billion by 2028, reflecting a compound annual growth rate of 21.9%. This growth is driven by the increasing complexity of cyber threats and the demand for advanced security solutions. Organizations are expected to continue investing in AI technologies to enhance their cybersecurity strategies and achieve zero trust initiatives.