{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Cybersecurity","title":"AI-Powered SOC Operations & Threat Monitoring","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/63c67181\"></iframe>","width":"100%","height":180,"duration":542,"description":"AI is starting to change how modern Security Operations Centers (SOCs) work — from reducing alert investigation time to improving threat detection and speeding up security engineering support.\nIn this episode, Senthilvel Kumar shares how AI is helping SOC teams work smarter by reducing investigation delays, improving visibility into threats, and supporting faster, more accurate response across security operations.\nKey TakeawaysAI can help reduce SOC investigation and triaging time significantly Modern SOCs are gradually moving toward AI-assisted operations AI agents can work alongside analysts without disrupting current SOC investments Faster engineering support improves threat detection and response efficiency AI helps improve true positive detection and alert accuracy Security operations are shifting from reactive monitoring to more intelligent threat management AI-powered SOC models can help reduce operational workload and skill gaps Combining AI with threat intelligence improves overall risk visibility The future of SOC operations will rely heavily on speed, automation, and AI-driven analysis","thumbnail_url":"https://img.transistorcdn.com/ZhoVOSHV0xAtcVWbtREAAzPMULBi_awUbGCXsAWtx-4/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzM3NTE5LzE2NzI5/MTk3ODgtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}