Detecting insecure pods on Azure Kubernetes Service is not the same as preventing them. Here is how Azure Policy and OPA Gatekeeper move enforcement to admission time, so a misconfigured workload never reaches the cluster.
In cloud-native and AI-driven systems, compliance can no longer be a periodic activity. It has to be continuously demonstrated. Here is the architecture for engineering that trust.
Most Cloud Security Posture Management tools detect misconfigurations and stop there. Detection without enforcement leaves the exposure in place. Here is what changes when policy-as-code blocks and remediates at admission time.
Every production incident is a lesson the system has already paid for. Most teams capture that lesson in a postmortem document and then reintroduce the same failure months later. Here is how to convert incidents into automated controls that make a failure mode impossible to repeat.
Generative AI on Azure introduces control points that traditional application security never had to handle. Here are practical governance patterns for Azure OpenAI and AI Foundry workloads, mapped to where the real risks live.