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Containers Became the Unit of Speed. AI Agents Are Making VMs the Unit of Trust
The container is not disappearing. But as autonomous agents generate code, install packages and invoke tools, cloud-native infrastructure is placing a VM-grade security boundary around it ...
DataAgent Emerges From Stealth To Bring Autonomous Remediation to Kubernetes
DataAgent emerged from stealth today with $10 million in pre-seed funding and an agentic AI platform designed to fix production problems inside Kubernetes environments without waiting for a site reliability engineer to ...
Kubernetes v1.37 Enhances Dynamic Resource Allocation
Like many of its fellow projects in the open source community, Kubernetes has seen an increase in pull requests, many of which are no doubt generated by AI. This week’s release of ...
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 ...
Echo Acquires Hardened Container Assets from Minimus
Echo today revealed it has acquired technology assets from Minimus, a provider of hardened open source container images, that earlier this week revealed it is shutting down. Those assets will later be ...
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 ...
Rearchitecting Legacy Systems for Real-Time AI: Practical Patterns for Cloud-Native Migration
Artificial intelligence is changing what enterprises expect from software platforms. Systems that once processed transactions in batches are increasingly expected to evaluate events, apply intelligence and respond in near real time. The ...
Cloud-Native Complexity Is a Cost: When More Platform Layers Stop Adding Value
Cloud-native environments rarely become complex overnight. In most teams, complexity builds gradually. A platform may begin with containers and a basic deployment process, then grow to include orchestration, CI/CD, observability, security controls, ...
