92% of AI experiments fail because of bad data — and security is no exception. In this clip, Kanaiya Vasani, CPO and CMO of ExtraHop, breaks down what an agentic SOC actually requires: not swapping an L2/L3 analyst for an AI one, but reinventing the entire security workflow from the ground up. Logs are the starting point, not the answer. They're unreliable, not tamper-proof, and full of gaps. Real agentic AI needs contextual intelligence — a knowledge graph connecting users, applications, identities, devices, and the data moving between them — plus the organizational memory of how your team has handled incident response and red teaming in the past. That's where network intelligence comes in. Metrics, records, and packets give AI the ground truth logs can't provide. Without that data, there is no agentic AI. Without it, there is no agentic SOC. Watch to learn: – Why 92% of AI initiatives fail due to data quality issues – What "contextual intelligence" means for security operations – H...