BankInfoSecurity’s piece on “Building AI Security in a Greenfield Moment” makes one point unmistakably clear: we are entering a rare window where enterprises can influence how AI security should work before the full wave of agentic automation becomes deeply embedded into critical systems.
This greenfield moment exists because AI agents are still early in enterprise adoption, standards haven’t yet solidified, and security teams are scrambling to understand the new attack surfaces introduced by reasoning, tool use, chaining, and autonomy.
As the article highlights, organizations are facing unpredictable agent behavior, unclear accountability models, expanding API and tool attack surfaces, data exposure risks, and a lack of governance frameworks that align with agentic AI.
But the article also reveals something deeper: the existing security stack identity, access management, zero trust, and workload isolation wasn’t built to secure intent-driven autonomous systems. These controls assume deterministic behavior, pre-defined software paths, and developer-governed logic. Agentic AI breaks those assumptions instantly.
AI systems reason, revise, and adapt their behavior based on context. They generalize. They choose their own intermediate steps. They improvise. And as a result, even when all identity and access controls are correct, agents can escalate workflows without approval, over-collect data because the LLM “thought it was relevant”, produce unsafe outputs under certain contextual nudges, create or chain tasks the user never intended, and expose internal reasoning that violates security policy.
The “greenfield moment” described in the article is really this:
Enterprises must establish governance for why an agent is acting, not just who is acting.
Identity governs actors. Access controls govern resources. Zero Trust governs the environment. But none of them govern intent. Until intent becomes a first-class security object cryptographically bound to every action, agentic AI will remain a risk rather than a capability. This is the moment for enterprises to choose an architecture that can scale with autonomy rather than fight against it.
