Why security leaders are cautious about agentic AI
Agentic AI is everywhere in cybersecurity right now, but it often feels like everyone is using the term slightly differently.
Vendors are quick to mention it, yet rarely stop to explain what it actually means in practice or what problem it’s meant to solve.
For security leaders, that makes it a difficult space to navigate, especially when expectations are high but clarity is still catching up.
At its core, agentic AI describes a goal-oriented system of multiple agents that can act, sometimes autonomously, towards an outcome. That is a concept, not a cybersecurity result.
In software development, the value is more straightforward. Multiple agents can collaborate to write, test, and improve code. In cybersecurity, the environment is far more fragmented.
Tools span endpoint, network, identity, cloud, vulnerability management, and response. If agentic AI is limited to a single vendor’s ecosystem, it cannot deliver meaningful outcomes. It simply operates within...
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