In the cybersecurity realm, the importance of time is underscored as Security Operations Center (SOC) analysts face a constant barrage of alerts from various tools, necessitating swift analysis to identify potential threats. This text discusses a solution utilizing DeltaStream to automate this process by creating a real-time inference pipeline that correlates disparate security events, such as suspicious logins, file downloads, and malware detections, into a single, actionable alert. The pipeline uses Generative AI to analyze these correlated events, providing a human-readable summary and priority level, thus enhancing the efficiency and speed of threat response. By simulating logs from Okta, Zscaler, and CrowdStrike, the system ingests these streams, joins them in real-time, and uses SQL-integrated AI prompt engineering to produce enriched data streams. This setup transforms raw security logs into triaged intelligence, significantly reducing Mean Time to Respond (MTTR) and alleviating analyst fatigue, showcasing a shift towards an autonomous SOC capable of handling threats more effectively and empowering less experienced team members to make informed decisions.