As technology progresses, the risks to our cybersecurity also evolve. Cyber assaults are growing in complexity, making detection and prevention increasingly challenging. To combat these growing threats, numerous entities are adopting artificial intelligence (AI) as a solution to help protect their networks. AI possesses the capability to swiftly and accurately analyze vast datasets, playing a crucial role in identifying and thwarting cyber threats. In this study, we'll explore the growing role of AI in cybersecurity, how it works, and the benefits it provides. We'll also discuss the directions and constraints associated with employing AI in this domain, along with envisioning how the future of cybersecurity may unfold with the ongoing evolution of AI. This review paper explores the various applications of AI in cybersecurity, delving into its capabilities in threat detection, anomaly identification, and incident response. We analyze the specific AI techniques employed, highlight their advantages, and discuss the challenges and limitations inherent in their implementation. Additionally, the potential for future advancements and the ethical considerations surrounding AI adoption in cybersecurity are addressed.