Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Editing IAM policies cannot fix the most common architectural mistake in shipping AI agents on Kubernetes. It happens in thirty seconds: a platform engineer reuses an existing ServiceAccount with an IRSA annotation for Bedrock access because creating a new one takes thirty minutes plus a Terraform pull request. The new agent ships under the existing identity.

The residency evidence GDPR and the EU AI Act now expect lives in the runtime trajectory of every AI agent execution, not in the deployment configuration. Your residency compliance dashboard — every workload in eu-west-3, sovereign cloud configured, SCCs signed — cannot produce it. Your AI agent’s last thousand inferences crossed an external border, on average, eight times each. The translation API routed through us-east-1 when the EU endpoint hit capacity.

Everyone uses developer tools to get through the day. A JSONFormatter to inspect an API response, or a JWT decoder when you need to inspect a token quickly. In most engineering teams, these tools are treated as harmless productivity aids. In November 2025, researchers discovered that JSONFormatter and CodeBeautify had been storing everything users pasted into them via a save feature that generated shareable links with fully predictable URL structures. A simple crawler could retrieve all of them.

Most OpenShift Virtualization projects start with a simple goal: move virtual machines off a traditional hypervisor and onto a Kubernetes-based platform without forcing every workload to be rewritten. That is a practical goal. Many organizations have VM estates that will not become containers any time soon, and OpenShift Virtualization gives infrastructure teams a way to run those VMs next to containerized applications on the same operational platform.

How AI-accelerated threat discovery is reshaping network security As vulnerabilities are discovered faster than ever, organizations must rethink how they reduce exposure and contain risk at the network edge. Claude Mythos Preview has reignited debate about AI-driven cyber attacks, but the real shift isn’t what AI finds, it’s how quickly issues at the network edge can turn into impact. This post explores what’s changed and how network security must adapt to keep up.

A malicious imitation of Anthropic’s Claude site leads to DLL sideloading – and a backdoor As we reported on social media recently, Sophos X-Ops has been investigating reports of a fake Claude AI website distributing malware. Like other researchers, we thought this might be a PlugX-like campaign, given that the attack chain shares several characteristics with observed PlugX attacks.

Residential proxy services, also called RESIP, present a persistent operational hurdle for tracking and attributing malicious network activity, as they allow threat actors to mask their true origins behind seemingly benign, geographically diverse IP addresses. While often marketed for legitimate use cases, these networks are aggressively leveraged for fraud, credential abuse, and perimeter evasion.

Every day, your review team makes hundreds of decisions that determine who gets access to your platform. These decisions carry a lot of weight. Get them right, and you protect your business while delivering a seamless user experience. Get them wrong, and you either block legitimate users or open the door to fraud. As your business scales, these decisions get harder to manage. Case volume climbs, fraud tactics shift, and regulatory expectations evolve.