Full Segment Notes
Enterprises are deploying AI agents like Microsoft Copilot, Google Gemini, and Claude Code faster than they can secure them, and attackers are exploiting that gap through prompt injection. Hidden instructions get buried in web pages, files, and even images that a human would never notice but an AI agent reads and acts on. Menlo Security is building Menlo Agent Runtime Security (MARS) to close that gap, running every agent session in an isolated cloud that sanitizes content before an agent can act on it. Ramin Farassat, Menlo Security's Chief Product Officer, will discuss why the exposure lives in the connectors and integrations around the model rather than the model itself, and how security teams can put controls on the agent attack surface without blocking agentic AI outright.Segment Resources:https://www.menlosecurity.com/product/ai-agent-securityMARS is now available today, and Menlo Security is demonstrating it live at Black Hat USA (Booth #4702, Mandalay Bay) and Ai4 (Booth #424, The Venetian), August 4–6 in Las Vegas. Please visit: https://securityweekly.com/menlobh
Key Moments
- 0:00 - Intro: Black Hat 2026 and the Rise of Agentic AI
- 0:54 - Prompt Injection: The New Phishing Attack for AI Agents
- 01:48 - Why AI Agents Are Vulnerable to Hidden Commands
- 02:46 - Understanding the Expanding AI Agent Attack Surface
- 03:30 - MCP Servers, Browsers, and Enterprise AI Exposure
- 04:09 - Securing AI Agents at Scale Like Human Users
- 04:58 - Runtime Monitoring and Detecting Malicious AI Behavior
- 06:01 - Introducing Menlo Agent Runtime Security (MARS)
- 06:27 - Enabling Safe Enterprise AI Adoption
- 07:03 - Protecting Sensitive Data and Internet-Connected AI Agents
- 08:13 - AI Security Frameworks, Governance, and Regulations
- 09:38 - Scaling AI Agent Security in Large Enterprises
- 11:10 - Shadow AI Discovery and Agent Visibility
- 12:28 - Building AI Governance and Trust
- 14:07 - Key AI Security Priorities for CISOs
- 15:06 - Closing Thoughts: The Future of AI Agent Security
Guest
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.
