Artificial intelligence enhances cybersecurity by acting as a catalyst that enables better detection and response to threats. AI systems can quickly identify anomalies, such as malware or misconfigurations, and help security operators monitor network activity in real-time. By analyzing vast amounts of data, AI can facilitate effective decision-making, improve threat intelligence, and automate responses to emerging threats.

While AI can bolster cybersecurity, it also poses risks as criminal hackers are adopting AI technologies to enhance their attacks. For instance, AI can be used to create sophisticated malware that adapts to security measures or to generate realistic impersonations, such as mimicking a CEO's voice to gain sensitive information. This dual-use nature of AI necessitates vigilance and ongoing adaptation in cybersecurity strategies.

The future of AI in cybersecurity is likely to involve significant transformation in operational models. As threats become more complex, organizations will need to continuously adapt their risk management approaches and technology implementations. Understanding AI's potential uses and limitations will be crucial for maintaining business continuity and resilience against increasingly sophisticated cyber threats.