In the rapidly evolving digital landscape, cyberattacks are becoming increasingly sophisticated, posing significant threats to organizations and individuals worldwide. Artificial Intelligence (AI) has emerged as a transformative tool in cybersecurity, offering advanced capabilities to detect, prevent, and mitigate these attacks. This article explores the integration of AI into cybersecurity frameworks, emphasizing its role in identifying anomalies, predicting potential threats, and automating response mechanisms. By leveraging machine learning algorithms and data-driven insights, AI enhances the speed and accuracy of threat detection, effectively combating challenges posed by modern cyberattacks. However, the adoption of AI also introduces new complexities, such as adversarial AI and ethical considerations. This paper delves into the dual nature of AI in cybersecurity, providing a comprehensive overview of its benefits, challenges, and future potential in safeguarding digital ecosystems against ever-evolving cyber threats.
Keywords
Artificial Intelligence (AI), Cybersecurity, Threat Detection, Machine Learning, Adversarial AI
