AI adoption in cybersecurity is transforming security operations by enhancing threat detection, automating incident response, and improving alert accuracy, offering significant advantages in handling advanced threats and complex ecosystems. The technology allows for more efficient data analysis, minimizes damage from attacks by responding in near real-time, and acts as a force multiplier by managing repetitive tasks, freeing up security teams to focus on high-value investigations. Key use cases for AI in cybersecurity include threat detection, SOC automation, fraud detection, and data onboarding, while common pitfalls in AI implementation include inadequate governance, weak access controls, and overreliance on automation. Best practices for integrating AI into security operations include developing a clear strategy, investing in data quality, seamless tool integration, continuous monitoring, and ongoing team training. Elastic Security leverages its Search AI Platform to enhance SOC workflows, enabling efficient alert triage and the use of generative AI to improve security operations, though potential users are advised to exercise caution with third-party AI tools due to privacy and data security concerns.