By 2028, Gartner forecasts that 25% of enterprise generative AI (GenAI) applications will face five or more minor security incidents annually, up from 9% in 2025. As organizations adopt the Model Context Protocol (MCP) for agentic AI applications, new vulnerabilities and insufficient security practices will heighten risk exposure. Gartner’s Sr. Director Analyst Aaron Lord emphasizes that MCP’s design prioritizes interoperability over security, leading to potential missteps, especially where sensitive data is concerned. Software engineering leaders must establish stringent security review processes, mitigate known threats (like content injection), and enforce robust authentication methods tailored specifically for AI agents. Collaboration with domain experts is essential to define security guardrails for MCP usage. Gartner emphasizes the importance of securing AI interactions by preestablishing domain-based safeguards. With extensive resources, Gartner serves as a vital partner for C-Level executives in optimizing AI strategies for enhanced business outcomes.
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