The landscape of cybersecurity has evolved significantly over the past decade, driven by the increasing interconnectedness of digital systems and the sophistication of cyber threats. AI has emerged as a critical tool in this domain, offering enhanced capabilities for threat detection, anomaly identification, and predictive analysis, which help security teams proactively address potential risks. AI in cybersecurity involves the integration of AI technologies into existing systems to bolster defenses, while secure AI focuses on ensuring the resilience and integrity of AI systems themselves. AI's ability to process vast amounts of data efficiently and identify complex patterns aids in reducing human error and improving the accuracy of security measures. Despite its benefits, AI introduces challenges such as ethical considerations, data quality issues, and the risk of adversarial attacks, necessitating careful management and human oversight. As AI continues to advance, it holds the potential to transform cybersecurity operations, making them more autonomous and resilient to future threats, though it also requires organizations to remain vigilant against the misuse and vulnerabilities of AI technologies.