Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Author: Alexander Ivanyuk, Senior Director, Technology Generative AI is no longer a side experiment inside businesses. It is moving into normal work: writing, summarizing, coding, research, customer support, internal search and repeatable workflows. OpenAI says it now serves more than one million business customers, more than seven million ChatGPT workplace seats, and roughly 8x growth in weekly enterprise messages since November 2024.

The days when compliance was only a documentation exercise are long gone. Now, it’s a critical priority for a wide variety of organizations. But compliance is more of a result than a goal. The goal is achieving resilience. Cybersecurity and data protection regulations are rapidly evolving far beyond traditional compliance checklists. Global frameworks and regulations such as NIS 2, DORA, GDPR, HIPAA, SOX and NIST 2.0 are placing greater emphasis on operational resilience.

Managed service providers (MSPs) rely on Acronis Cyber Protect Cloud to protect customers, manage operations efficiently and automate routine work. However, billing, one of the most critical operational processes, often remains manual, fragmented and error prone. This is why Acronis has now introduced a free, automated billing module which is available to all Acronis partners natively within the platform.

MSPs want to grow. Yet the cost of growth keeps eating the margin that extra growth was supposed to deliver. Traditionally, more customers means more endpoints, more tools, more alerts, more billing entities, more compliance frameworks. Headcount scales with the work, but margins don't seem to keep up. That problem has a new shape now. AI is changing how every IT environment is built, run and protected and the speed at which they are done.

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.

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.

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.

MSPs are managing more assets than ever before and often without a complete picture of what’s actually in their clients’ environments. Every unmanaged device, every unknown application, every blind spot increases exposure and limits how quickly teams can respond. The reality is simple: Asset visibility is the foundation of cybersecurity, resilience and growth. But visibility without action leaves MSPs stuck reacting instead of proactively protecting.

Author: Umair Ahmed, Product Marketing Manager, Security Microsoft 365 attacks do not always start with a dramatic zero-day. Many begin with something simpler: a stolen password, a malicious Office file, a user approving the wrong application, or a tenant setting that was left too permissive. For an MSP technician, the urgent question is: Even if Microsoft patched the vulnerabilities inside the platform, are my tenant configurations still exposing my clients to risk?

AI-enabled systems are becoming more common in operational technology (OT) environments. What many industry analysts call “Physical AI” refers to AI systems embedded in physical environments — such as industrial cameras, robots and edge systems — that can perceive, interpret and act on real-world conditions. In industrial settings, this includes machine vision systems, predictive maintenance models, robotics optimization and edge analytics operating close to production assets.

Anthropic’s announcement of Claude Mythos Preview may end up being remembered as the moment the cybersecurity industry had to stop talking about agentic AI as a future concept and start treating it as a present security variable. The reported results are serious. Anthropic says Mythos Preview identified and exploited zero-day vulnerabilities across major operating systems and browsers during testing.