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AI is beyond the reach of API contracts
AI models have exceeded the fixed boundaries defined in APIs. Traditional APIs were developed within the context of “fixed logic,” where the input into the application would result in one, and only one, predetermined output. Therefore, as long as you could protect the API gateway (interface), then the overall system was secure.
With agentic AI, this paradigm of fixed logic has been replaced by a paradigm of probabilistic decision-making. An agent does not follow a pre-written or hard-coded script. Instead, it reads a goal and determines the most likely sequence of actions needed to achieve that goal through dynamic reasoning. The contract is now hidden inside the emergent behaviors of the model, rather than being explicitly spelled out in the API documentation.
While the shift toward ephemeral workloads and Kubernetes has already pushed infrastructure beyond the reach of perimeter security, agentic AI introduces an even deeper layer of complexity: unpredictability. If you can’t predict an agent’s next move, then you also can’t use approval ahead of time at the API gateway. Additionally, detection-based tools like logging and alerting won’t help with this problem either, because they provide insight only after the agent’s decision and execution.
