Operations | Monitoring | ITSM | DevOps | Cloud

Hardening Self-Hosted Artifactory for Agentic Workloads

OpenAI has published a focused follow-up to its July report on the Hugging Face intrusion. This one covers a smaller event from the same month: on July 19, agents running in two ExploitGym evaluation runs reached parts of OpenAI’s research infrastructure that sat outside the scope of their assigned targets. The earlier Hugging Face incident has already been analyzed at length by several research teams.

Would you notice? AI assistants, MCP servers and your databases

Database professionals can use AI to improve everyday work by starting with a task they already understand, giving the assistant the context it needs, building review into the workflow and limiting what an agent can reach. The AI sessions at PASS Summit West 2026 pointed to the same lesson: the value comes from the work around the assistant, not the assistant alone.

Are Your Models Aligned With Your Work? AI Signals Reports Explained

In this video, Kaitlin Woo, Product Manager for AI Signals at CloudZero, introduces templated reports that give a quick view into AI spend in one click. The reports tie spend back to activity classification, such as feature development, bugs, and automation for developers, and let you filter to an individual person for a full breakdown of their model mix and top activities without configuring anything. Those are details a bill never shows. CloudZero gives leaders who manage an AI budget this view across all providers, so they can tell whether a heavy user’s share of spend makes sense and how to support AI adoption.

How database professionals can use AI to improve everyday work: takeaways from PASS Summit 2026

Gorman is a Database and AI Advocate and Engineer at Redgate She's the previous director of Data and AI at Silk, and the Oracle SME in Azure at Microsoft. With a robust background in cloud technology and a passion for promoting its merits and potential, I am thrilled to spearhead conversations and actions that help shape the future of this industry. Kellyn has authored numerous technical books, white papers and solution repositories in GitHub on database, AI and engineering topics.

AI agents belong on your Kubernetes platform

In Kubernetes, pods get a new IP every time they restart, so an IP can’t tell you which workload it is. Platform teams learned to identify workloads by labels and identity instead. AI agents are now teaching them a second lesson: an agent’s code can’t tell you what it will do. I believe AI agents belong on the Kubernetes platform. Not beside it, not around it, and not left to each team to secure alone. On it: identified, governed and contained like every other production workload.

Stop Running Claude Code on Your Laptop: 2 Types of Agent Sandbox

Every week there's a new agent sandbox, and they all promise the same thing: a safe place for your agent to run code. In this video we split them into two types, dumb sandboxes and smart sandboxes, so you can sort any provider by what it can actually do instead of how it's marketed. You'll see where today's providers sit, why dumb sandboxes still have a real place, and how to pick the kind your agent's job needs.

How to Turn DevOps Runbooks into AI Explainer Videos with Kling 4.0

New engineers learn a runbook faster when they can see the shape of the procedure: what state the system starts in, what changes at each step, and where to stop. Reading the document still matters, because the maintained runbook remains the authoritative source. A short animated explainer can sit beside it during onboarding and show the order of state changes as simple schematics, without anyone recording a production dashboard.