- 0:00 - Introduction to RSAC 2026 & Agentic AI SOC Explosion
- 0:53 - The Overcrowded Market of AI SOC Vendors
- 01:25 - What Makes Dropzone AI Different?
- 01:44 - Scaling to 300+ Enterprise Deployments
- 02:09 - MSSP & MDR Partnerships Explained
- 02:27 - The Challenge of Building True Agentic AI
- 03:03 - Why LLMs Are Non-Deterministic (And Why It Matters)
- 03:45 - The Need for Consistency in Security Operations
- 04:08 - How Dropzone Achieves Deterministic AI Outcomes
- 04:36 - Inside the AI SOC: 100+ LLM Invocations Per Alert
- 05:29 - Mimicking Human Analyst Investigation Workflows
- 06:04 - The Importance of Reporting & Communication in SOC
- 06:33 - Modular AI Architecture for Security Operations
- 07:09 - Turning Probabilistic AI into Reliable Systems
- 07:31 - The “Internal Combustion Engine” AI Analogy
- 09:15 - Eliminating the Human-AI-Human Workflow Problem
- 10:17 - Achieving 100% Software-Driven SOC Automation
- 10:32 - Adapting AI to Organizational Context & Policies
- 11:39 - Training AI with Historical Security Case Data
- 12:35 - Future Roadmap: Building an Army of AI Agents
- 13:03 - Expanding Beyond SOC Analysts to Full Security Roles
- 13:34 - AI Threat Intelligence, Detection & Hardening Agents
- 13:50 - The Rise of AI Forensics & Response Automation
- 14:21 - Humans as “Generals” Leading AI Security Agents
- 14:46 - Product Roadmap & Upcoming AI Agent Releases
Edward Wu is the founder & CEO of Dropzone AI, creator of the world’s first autonomous AI SOC analyst that force-multiplies cybersecurity teams with armies of AI agents. Previously, Edward spent eight years at ExtraHop Networks, leading AI/ML and detection engineering and developing behavioral network attack detection. He also worked on automated binary analysis and software defenses at the University of Washington, Seattle, and UC Berkeley. Edward holds 30+ patents in applied AI for cybersecurity and is a contributor to the MITRE ATT&CK framework.


