The integration of artificial intelligence (AI) in cybersecurity significantly enhances threat detection and response capabilities, offering advanced pattern recognition, real-time monitoring, automated responses, predictive analysis, and efficient incident analysis. AI can analyze vast amounts of data to identify patterns and anomalies, predict potential threats, and automate routine security tasks, thereby reducing response times and mitigating risks. However, relying heavily on AI poses several risks, such as over-reliance on automation, which may lead to complacency among security teams, and the potential for false positives and negatives, which can result in either unnecessary alerts or missed threats. AI systems are also vulnerable to adversarial attacks, where manipulated inputs deceive the system, raising concerns about the robustness and integrity of AI models. Additionally, ethical and privacy issues arise from AI-driven surveillance, necessitating a balance between security measures and individual privacy rights. Furthermore, the complexity of maintaining and updating AI systems can be challenging, particularly for organizations with limited resources. Despite these risks, the strategic integration of AI, coupled with human expertise and ethical considerations, can greatly strengthen cybersecurity defenses.