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Eve Security Highlights Growing Need for Runtime Protection in Agentic AI

Eve Security Highlights Growing Need for Runtime Protection in Agentic AI

According to a recent LinkedIn post from Eve Security, the release of OpenAI’s GPT-5.5 is framed as a shift from static answer generation toward autonomous workflow execution inside enterprises. The post highlights that such models now interact directly with APIs, data stores, and other agents in real time, which the company suggests materially alters the security risk profile.

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The company’s LinkedIn post emphasizes that conventional security tools may not be designed for this “agentic AI” runtime layer, where decisions and actions occur autonomously. Eve Security positions its offering as mapping and monitoring agent interactions at runtime and enforcing policies to limit risky behavior and data exposure as these systems operate.

From an investor perspective, the post suggests that broader adoption of agentic workflows driven by models like GPT-5.5 could expand the addressable market for specialized AI-runtime security solutions. If enterprises view runtime visibility and control as foundational rather than optional, companies such as Eve Security may see growing demand, though competitive dynamics and customer adoption cycles will be critical to long-term financial impact.

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