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GPU Monitoring Needs Its Own Containment Boundary

The collector needs access to telemetry. The rest of the network does not.

Recent NVIDIA DCGM Exporter research illustrates why GPU telemetry needs explicit microsegmentation, separate profiling access, and tests from unauthorized workloads.

mTLS Is Not A Containment Policy

A trusted workload identity still needs a narrow list of permitted destinations and operations

Mutual TLS authenticates service connections. Breach containment also needs explicit authorization, network boundaries, and tests using valid but unauthorized workload identities.

The AI Agent Was New. The Trust Failures Were Not.

A 17,600-action intrusion turned one dataset worker into a path toward cluster, cloud, mesh VPN, and source-control access

The July 2026 OpenAI and Hugging Face incident was powered by an autonomous AI agent, but its blast radius came from familiar trust failures. This analysis shows where microsegmentation and workload isolation could have broken the chain.

AI Data Pipelines Need Containment

When untrusted data can execute code, the processing worker becomes an attack bridge

The July 2026 Hugging Face incident shows how a malicious dataset can become code execution, credential theft, and cross-cluster lateral movement. The answer is not only safer parsing. It is a smaller blast radius by design.

Thoughts on the Attack matrix for Kubernetes

This is just a datacenter

Introduction In a recent blog post Yossi Weizman talks about the Attack matrix for Kubernetes and i had a couple of thoughts about it. As Yossi rightly says, Kubernetes is becoming a vital part in the compute stack of many companies. What i hear in my network and during sessions with IT security teams is that they face new challenges with Kubernetes-based orchestration platforms. The container platforms are also perceived like a black box for traditional networking and IT security folks, so it makes sense to understand the security risks that are inherent to those platforms first.