Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

BDRShield v9.1.0, released o May 6, 2026, brings practical improvements that speed backups, strengthen recover-ability, and give admins clearer visibility—especially for distributed sites, and MSP operations. This update focuses on...

As enterprises modernize infrastructure, the shift toward self-service virtualization on Kubernetes is accelerating. Platforms such as Mirantis k0rdent AI and k0rdent Enterprise feature KubeVirt-based virtualization, enabling organizations to deliver on-demand infrastructure while maintaining governance controls.

The backup finished. The dashboard shows a green tick. You close the laptop and go home. But what if that green tick is lying to you? It sounds dramatic. It is not. Across organisations of every size, backups complete successfully every night while quietly storing corrupted data, broken recovery chains, or in the worst cases, malware that hitched a ride before the snapshot was taken. Nobody knows. Nothing alerts. The tick stays green. The problem only surfaces the moment you need the backup most.

Your database crashes at 2 PM, but your last backup ran at midnight. That’s 14 hours of lost transactions, customer records, and operational data. The gap between your last usable backup and the moment disaster strikes is exactly what the recovery point objective (RPO) defines. Most organizations don’t think seriously about it until they’re already staring at the damage. RPO in disaster recovery planning determines whether you lose five minutes of data or five days of it.

MSPs managing hundreds or thousands of endpoints cannot afford remote support that lives in a separate tool, on a separate license, with a separate login and a separate workflow. Every extra console adds friction between monitoring, troubleshooting, patching, and security response. That is exactly why AI remote desktop matters now: not as a buzzword, but as a way to shorten the path from issue detection to issue resolution while keeping technicians in one operational environment.

Author: Alexander Ivanyuk, Senior Director, Technology AI is moving fast, and with that speed comes a new set of terms that many business readers are now hearing for the first time: RAG and MCP. They may sound technical, but the ideas behind them are actually practical. They describe how modern AI systems get better information, connect to business tools, and, in some cases, go beyond answering questions to carrying out work.

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.

Something significant is happening across enterprise IT right now — and I do not think it has been fully reckoned with yet. More than 5,000 organizations are actively evaluating or executing a migration away from VMware. The Broadcom acquisition changed the economics of VMware dramatically and abruptly. Licensing costs surged. Bundling decisions eliminated flexibility.

Manufacturers face a trio of converging challenges: Cyberthreats are escalating, regulations are tightening, and operational environments are becoming more complex. The traditional approach to operational technology (OT) security is no longer working. Manufacturers need to respond by moving toward platform-based cybersecurity to reduce risk and improve resilience. An ARC Advisory Group report published in April 2026 provides details.