AI in Cybersecurity: Understanding Challenges, Opportunities and New Approaches

AI has greatly impacted cybersecurity, enabling advancements in threat detection and monitoring but also increasing the sophistication of cyber attacks. As cyber threats become more data-driven, analysts struggle with numerous alerts and a complicated threat landscape, resulting in alert fatigue and slow responses. To address this, AI-powered defenses are increasingly using generative models and natural language processing. However, AI in cybersecurity also brings challenges that include regulatory compliance, data privacy, and ethical considerations. Implementing comprehensive AI strategies requires ongoing collaboration, ethical AI practices, and a culture of continuous learning.