AI is increasingly being utilized by organizations to detect threats and protect their systems. It helps in identifying patterns of attacks, reducing false positives, and prioritizing responses based on real-world risks. The global market for AI-based cybersecurity products is projected to grow from $14.9 billion in 2021 to $133.8 billion by 2030, driven by the rise in cyberattacks and the need for sophisticated security solutions.

Cyber criminals are also adopting AI to launch more sophisticated attacks. They use AI to generate phishing emails that have higher open rates compared to manually crafted ones. Additionally, AI can help identify vulnerabilities in systems, allowing hackers to exploit weaknesses and develop malware that adapts to evade detection.

While AI can enhance cybersecurity, its implementation is not without challenges. Organizations often use AI in a limited capacity, primarily for specific tasks like email filtering and malware detection. Moreover, the economics of cyberattacks suggest that it is generally easier and cheaper for attackers to exploit systems than for organizations to build effective defenses, particularly against advanced AI-driven attacks from sophisticated adversaries.