In this Revenue Room™ CXO member exclusive webinar, Philip H. Wess and Sean D. Goodman covered the business case and security risks of MCP-connected AI agents: Philip framed the revenue upside (personalization, rev ops automation), while Sean flagged authentication, auditability, and authorization as the top risks, citing that 97% of AI-related breaches stem from poor authentication and that attackers exfiltrate data in ~90 minutes versus ~187 days to detect it. Q&A focused on accountability, board communication, and penetration testing frequency.

AI risk used to be mostly about what people pasted into chatbots. MCP changes the stakes by giving agents a standard way to connect to enterprise systems. The new unit of risk is no longer the model alone. It is the agent plus its toolbelt.

Part 1 showed the new attack surface. Part 2 laid out the guardrails. Part 3 answers the question that determines whether any of this works: who owns the agent, who approves the risk, who measures the value, and who shuts it down when needed?