Securing the Next Billion Users: Why the Browser is the Front Line for Agentic AI – Ramin Farassat – RSAC26 #4

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Full Segment Notes
Key Moments
  • 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
Guest
Chief Product Officer at Menlo Security

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.

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