The discomfort of an adaptive attack lies not in its rapid onset, but in its ability to swiftly alter course. AI-enhanced operations can probe environments, learn from responses, switch techniques, and orchestrate subsequent actions as an attack unfolds. A probing API might modify request structures, switch to a different endpoint, alter call sequences, or exploit legitimate application functionalities based on the environment's context.
Industry Research revealed that 48% of organizations update production APIs daily or more frequently, yet only 19% maintain a fully automated and continuously updated API inventory. Runtime behavior becomes visible here. Live traffic monitoring helps security teams connect signals that might be insignificant on their own, tracking changes in request frequency, repeated access across objects, unexpected sequences of API calls, or traffic moving between endpoints.
In instances where it's not necessary, security teams may limit requests, restrict access, tighten policies, or isolate suspicious activity while maintaining normal service for legitimate traffic. A customer-facing service might reside in a public cloud, while sensitive systems are hosted on premises, containerized services run in Kubernetes, and APIs connect everything.
If visibility and enforcement change every time application traffic crosses an environment, blind spots emerge, necessitating a unified approach that follows the application and its APIs across the hybrid multicloud estate, rather than relying on where workloads happen to run.
