Uploaded August 2025 | Updated September 2026, 3 weeks ago
Model Context Protocol (MCP) is gaining momentum as a framework for connecting AI agents, but like any emerging technology, it comes with risks. From potential prompt injection attacks to unknown client-server vulnerabilities, security remains a concern. Adoption was slow at first as companies evaluated these risks.
In this clip, Ramkumar Manoharan, co-founder of an AI startup working on agent-based platforms, discusses the challenges of securing MCP and why careful evaluation is still needed. While adoption is increasing, Ramkumar emphasizes the importance of standardized communication protocols, security analysis, and long-term resilience as MCP continues to evolve.
Model Context Protocol (MCP) is gaining momentum as a framework for connecting AI agents, but like any emerging technology, it comes with risks. From potential prompt injection attacks to unknown client-server vulnerabilities, security remains a concern. Adoption was slow at first as companies evaluated these risks.
In this clip, Ramkumar Manoharan, co-founder of an AI startup working on agent-based platforms, discusses the challenges of securing MCP and why careful evaluation is still needed. While adoption is increasing, Ramkumar emphasizes the importance of standardized communication protocols, security analysis, and long-term resilience as MCP continues to evolve.
