As AI matures, enterprises and customers are rapidly deploying agents seeking to unlock the next level of automation and productivity. Agentic AI shows potential to handle a multitude of use cases, from buying personal items on Amazon to customer service applications to enterprise security and software development. However, early agentic deployments are repeating a familiar pattern: prioritizing feature development and immediate value over security.

This strategy is understandable. Strategic, financial, and technical leaders want to demonstrate ROI for their AI investments. Enterprises are under pressure to innovate and drive organizational efficiencies. Individuals are seeking automated and personalized experiences. Moreover, agentic AI introduces a novel frontier of security challenges that “model only” guardrails aren’t yet fully equipped to solve. While building a fully mature security framework in a fast-moving landscape takes time, reverting to outdated security practices risks eroding the core value AI agents provide.

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