For years, ransomware incidents were interpreted through a familiar set of signals. Leaders identified the malware family, mapped it to the threat group, assessed the demand, and used those inputs to judge the scale of the event and how to respond. The approach was never precise, but it gave executives a practical shorthand for framing risk quickly. Read more

VeeamON 2026 is in the books, and the product keynote gave us a lot to unpack. Veeam Data Platform v13.1 ships this summer, touching nearly every part of the stack. Looking for an executive summary? Check out our overview of what V13.1 means for customers. For what it looks like under the hood, keep reading. Read more

As you may be aware, Red Hat OpenShift is emerging as a strong contender to be a single platform for all workloads: Containerized applications, AI, and virtual machines. With Veeam Kasten — Kubernetes-native data protection backed by a long-standing Red Hat partnership and proven at scale across cloud and air-gapped hybrid deployments —organizations can modernize with confidence, as traditional virtualization platforms fall short for cloud-native, declarative architectures. Read more

IT leaders are being asked to do something that can feel near impossible: keep the business always-on, scale fast, and move to multi cloud without losing control (all while trying to cut costs). Agentic AI is rapidly reshaping every single one of those priorities. The stakes are too high to be unprepared. Read more

The data protection industry has spent thirty years getting better at one thing: the mechanism of backup. Jobs are faster, coverage is broader, recovery is near-instant. By every operational metric, we’ve succeeded. But there’s a question underneath all of it that the industry has never really answered: do you actually know what you’re protecting? Not whether it’s backed up, whether you can tell the business-critical, sensitive, or regulated data apart from the redundant, obsolete, and trivial (ROT), and whether you know which AI agents are reading and modifying any of it. Without that understanding, you are protecting data but not truly resilient. Read more

Kubernetes has rapidly evolved from a platform for ‑cloud native experimentation into the backbone for some of the most critical workloads in the enterprise. Today, organizations run production databases, modern virtual machines (VMs), and increasingly AI‑driven applications side‑by‑side on Kubernetes — often across multiple clouds, regions, and operational domains.  Read more

Key takeaways

SMBs face enterprise-grade data risks with lean-team realities. The problem is not usually lack of backup. It is too much operational overhead, especially during Day 2 operations.“Effortless” protection does not mean fewer capabilities. It means the platform handles more of the heavy lifting through automation, policy-driven protection, verification, and built-in visibility.True simplicity is operational, not cosmetic. A product that looks easy to deploy but still requires constant monitoring, manual fixes, and restore guesswork is not reducing complexity.Automation matters most when it reduces ongoing work. Automated discovery, policy assignment, backup verification, and meaningful alerting help small teams stay protected without proving recoverability by hand.Recovery is the real test. SMBs need protection that supports fast, flexible, and clean recovery across file ... Read more

If you have spent any time comparing cloud backup services, being skeptical makes sense. A lot of products look inexpensive upfront, especially compared to enterprise platforms. Then the environment grows, retention expands, more workloads get added, and someone eventually needs to restore data quickly. Suddenly the “cheap” option starts pulling more complexity, more manual work, and more surprise costs into the environment. Read more

AI isn’t slowing down, and neither are cyberthreats. Many organizations are navigating both, causing them to expand Microsoft 365 and modernize infrastructure. The result is a new kind of pressure: Not just to protect data, but to stay in control as complexity and risk accelerate. Read more

The release of Anthropic’s “Claude Mythos Preview” suggests a potential shift in vulnerability discovery velocity for enterprise security. AI has held the potential to be a tool that would "help" defenders. But as recent weeks have shown, Mythos isn't just a helper; it is a potential catalyst for what M.G. Siegler at Spyglass calls a "casual catastrophe." It is a model that finds issues not because it is a force of superintelligence in the sci-fi sense, but because it operates at a scale of intelligence and time that humans simply cannot match. For enterprise security teams, this shift transforms the mundane task of patch management into a high-stakes race where hours matter. Read more