Imagine you're a chief executive. Your AI strategy task force has just presented you with two strategic options. The first one is safe. You can use agentic AI to reduce overhead and save 10% of overall human capital costs.
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The surge in security vulnerabilities stems primarily from organizations’ increasing adoption of agentic AI applications, particularly those utilizing technologies such as Model Context Protocol (MCP). This rapid deployment, combined with immature security practices and emerging attack vectors, is creating substantial risk exposure across the enterprise landscape.[1]
Senior Director Analyst at Gartner, Aaron Lord, explained that MCP's design philosophy prioritizes interoperability, ease of use,
Rebranded as TrendAI, Trend Micro has published findings from a global study of 3,700 business and IT decision makers showing that 67% felt pressured to approve artificial intelligence projects despite security concerns. One in seven described those concerns as extreme, yet overrode them to match competitors and meet internal demands.
Chief Platform and Business Officer and Head of TrendAI, Rachel Jin, commented: “Organizations are not lacking awareness of risk; they’re lacking the conditions t
