- 0:00 - Introduction to RSAC 2026 & Menlo Security
- 0:20 - Securing the Next Billion AI Users
- 0:53 - Why AI Agents Will Outnumber Humans
- 01:42 - Browser Security for AI Agents Explained
- 01:53 - Shift from Read-Only to Read/Write AI
- 02:10 - The Visibility Problem with Agentic AI
- 02:47 - Detecting AI Agents in the Environment
- 03:03 - Registering and Tracking AI Agents
- 03:39 - Applying Security Controls to AI Agents
- 04:06 - Human vs AI Security Controls Compared
- 04:40 - Authentication & Authorization for AI
- 05:02 - Preventing Data Leakage from AI Agents
- 05:22 - Risks of Agent-to-Agent Spread
- 05:50 - AI Communication Beyond the Browser (MCP)
- 06:10 - Securing MCP with Browser-Based Controls
- 06:41 - Converging AI Communication Channels
- 06:51 - Getting Started with AI Security Strategy
- 07:37 - Dev vs Security Teams Collaboration
- 08:10 - Automating AI Agent Registration & Control
- 08:49 - Managing Dev vs Security Conflicts
- 09:19 - Using AI to Secure AI (Automation)
- 10:05 - Moving from Detection to Autonomous Action
- 10:38 - Building Trust in AI Security Systems
- 11:07 - Why Proactive AI Security Matters
- 11:22 - Future of AI Security & Compliance
- 11:50 - Data Sovereignty Challenges with AI
- 12:28 - Managing Global Compliance for AI Agents
- 12:55 - Final Thoughts on Securing Agentic AI
Executive Product Leader with a proven track record of scaling SaaS platforms, driving AI-led innovation, and delivering sustained enterprise growth. I bridge boardroom strategy with day-to-day execution, aligning product direction with market opportunity, investor priorities, and operational excellence.
