Operations | Monitoring | ITSM | DevOps | Cloud

For many organizations, digital employee experience (DEX) is still viewed as an IT project. It measures endpoint health, identifies performance issues, and helps service desks resolve incidents faster. While that’s useful, it’s also far too small a vision. In order to get the greatest return from DEX, organizations have to stop treating it as exclusively an engineering capability and started treating it as an equally powerful intelligence capability.

For the last two years, enterprise AI strategy has largely revolved around one message: use AI as much as possible. CIOs encouraged experimentation, CFOs approved budgets, and organizations pushed employees to adopt tools like ChatGPT, Claude, Copilot, and Gemini in the hope that productivity gains would naturally follow. The prevailing assumption was that simply increasing usage would accelerate innovation and unlock efficiency across the organization. But the enterprise conversation is changing quickly.

Most vulnerability programs were built around a known list of CVEs, scanned periodically and scored by severity. The Anthropic’s Claude Mythos era breaks that model, because the vulnerabilities that matter most are often undisclosed, unscored, and absent from any feed. The organizations that close the gap will be the ones that treat real-time exposure and remediation velocity as the core capability, not the patch backlog.

Anthropic’s Claude Mythos shows how AI is making vulnerability discovery nearly infinite. Endpoint remediation is where IT teams win or lose. In April 2026, Anthropic introduced Claude Mythos Preview, an AI model that autonomously discovered thousands of previously unknown vulnerabilities across every major operating system and web browser. By late May, the running total had passed 23,000 potential findings, and the vast majority were still unpatched.

When users report slow virtual desktops, the first instinct is often to check CPU or memory utilization. But what happens when those metrics look perfectly healthy, yet users across the environment are still complaining about slow application launches, lagging desktops and poor performance? In many cases, the bottleneck lies elsewhere. Storage is often overlooked during initial investigations, but in VDI environments it can have a disproportionate impact on the user experience.

Over the past year, organizations have embraced AI at an extraordinary pace, and Nexthink AI Activation Hub powered by AI Drive has helped customers make sense of that transformation by helping organizations discover the growing wave of AI tools entering the workplace, rapidly triage and govern them, accelerate adoption of approved AI solutions, and measure the impact of AI across the enterprise.

One of the most important realizations emerging across enterprise AI governance discussions is that most risky AI behavior is not malicious. Employees are typically trying to work faster. They are trying to summarize documents, accelerate research, draft communications, analyze spreadsheets, or automate repetitive tasks. In many cases, employees may not fully understand how AI providers handle uploaded information, what data policies apply, or where organizational compliance boundaries actually exist.