Contributed Content
Production-Safe Security Testing: A Missing Layer in Cloud-Native Application Security
Cloud-native applications keep changing after deployment, making production-safe security testing essential for validating real vulnerabilities, misconfigurations and access-control gaps without disrupting live systems ...
K8sGPT and the Guardrails for AI-Assisted Kubernetes Troubleshooting
A practical way for platform teams to use AI for faster Kubernetes triage without giving agents unsafe control of the cluster. The first time an AI tool gets real cluster context, the ...
From Controls to Continuous Assurance: Rethinking GRC for Cloud-Native Environments
The standard process of building governance, risk, and compliance (GRC) programs has been straightforward: define a control, document a control, test the control on a regular basis, and generate a report for ...
Securing North-South Traffic in AKS Using Application Gateway, WAF and AGIC
Secure AKS north-south traffic with Application Gateway, WAF and AGIC, combining Layer 7 protection, end-to-end TLS, private back ends and strong ingress visibility ...
Prompt Injection in Cloud-Native AI Is Now an Access Control Problem
For a long time, prompt injection was treated like other model behavior problems, such as jailbreaks or strange responses. The usual fix was to improve the system prompt, add stronger filters, or ...
Autoscaling AI Workloads on Kubernetes With KEDA and What it Means for Agentic Systems
KEDA can scale Kubernetes AI workloads on real demand signals such as queue depth, helping model-serving and agent workloads respond faster while reducing idle compute costs ...