Operations | Monitoring | ITSM | DevOps | Cloud

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.

AI cost management software gives finance and engineering one view of AI spend, ROI, and cost per inference. Here is how to evaluate, choose, and buy the right AI tool in 2026.

As development shifts toward agentic workflows, an AI agent is only as capable as the systems it can reach. Local MCP servers allow desktop CLI and IDE agents to execute multi-step tasks on your machine. But remote MCP servers (also called hosted MCP servers) extend that reach to cloud-based and background agents, allowing an agent running in a web browser, a CI runner, or a backend service to access external tools over HTTP without needing a developer’s machine running local child processes.

Ask an AI for K-pop concert advice without saying the group, city, date, or budget. It may confidently send you to a BLACKPINK tribute night in Cleveland with a $400 resale ticket. The AI was plenty confident. It just had nothing real to go on. That is exactly what happens when developers test AI applications with invented traffic. The test may look reasonable. The result may even pass.

Coding agents changed implementation economics faster than they changed confidence. They let us produce more code, more quickly, but they did not make reviewers any better at understanding system-wide consequences. In our Kubernetes automation stack, that gap became impossible to ignore once AI started generating meaningful amounts of controller code.

Model routing promises to cut your AI agent spend by offloading routine tasks to cheaper models like Claude Haiku while reserving frontier models like Claude Sonnet for complex reasoning. In the right configuration, routing strategies can reduce inference costs by 40–85%. But if you implement routing incorrectly in a multi-turn agent, you can end up paying more than if you’d never routed at all. Here’s why and how to fix it.