Agentic AI in Cloud-Native Systems: Security and Architecture Patterns

AI has long progressed past statistical models that generate forecasts or probabilities. The next generation of AI systems is agents, autonomous cloud-native systems capable of acting and intervening in an environment without human intervention or approval. Agents can provision infrastructure, reroute workloads, or optimize costs. They can also remediate incidents or apply other autonomous transformations at scale in cloud-native systems. Autonomy is particularly powerful in cloud-native ecosystems: think of self-tuning Kubernetes clusters, self-adapting CI/CD pipelines that dynamically route riskier code to human gatekeepers, or self-orchestrating serverless functions that maintain performance SLAs under previously unseen load spikes. But with autonomy comes a great responsibility: giving an AI agent the power to act in the cloud-native environment changes the nature of the threat surface in a fundamental way.