Various security issues do not appear during builds or staging tests. They emerge after deployment, when production traffic begins exercising real permissions, integrations and system states. Runtime risk refers to security exposure caused by configuration, identity or infrastructure changes after deployment. Teams adopt DevSecOps to shift security controls earlier in delivery while maintaining deployment velocity. Runtime risk emerges when deployed configurations, identities and infrastructure drift from what pipelines validated during testing. Even mature best practices and modern DevSecOps tools fall short when third-party dependencies, compliance demands and real production behavior collide. These factors bypass build-time controls by introducing permissions, behaviors and constraints not evaluated during testing. Production incidents consistently expose gaps that build-time controls cannot detect once systems face real traffic, state and…
Author: drweb
Mar 31, 2026 Docker Sandboxes: Run Agents in YOLO Mode, Safely Agents have crossed a threshold. Over a quarter of all production code is now AI-authored, and developers who use agents are merging roughly 60% more pull requests. But these gains only come when you let agents run autonomously. And to unlock that, you have to get out of the way. That means letting agents run… Eric Jia, Srini Sekaran, and Timir Karia Read now
Planning a complex code change is hard enough. Reviewing it in a terminal window shouldn’t make it harder. Anthropic is addressing that friction with a new capability called Ultraplan, currently in research preview as part of Claude Code. The feature moves the planning phase of a coding task from your local terminal to the cloud — and gives developers a richer environment to review, revise, and approve a plan before a single line of code changes. It’s a small workflow shift with real practical value, especially for teams working on large-scale migrations, service refactoring, or anything that requires careful coordination…
Jules was just the beginning. Google’s internally referenced “Jitro” project signals a bigger shift — from task execution to outcome-driven development. Most AI coding agents work the same way. A developer spots a problem, writes a prompt, and watches the agent execute. It’s fast. It’s useful. But it still puts the developer in the driver’s seat for every single decision. Google appears to be rethinking that model entirely. The company is reportedly building the next generation of Jules, its autonomous coding agent, under an internal project name: Jitro. While the current Jules experiment has seen little visible progress in recent…
Apica today updated its Ascent platform to add support for synthetic data that is increasingly being used by artificial intelligence (AI) agents to observe application environments. Version 2.16 of the platform adds support for a set of real user monitoring (RUM) and service level objective (SLO) dashboards, an ability to correlate changes made to any given rule to the cost of processing telemetry data, and additional performance enhancements. Andi Mann, chief product technology officer for Apica, said collectively these updates will make it more feasible for DevOps teams to feed telemetry data at scale into observability platforms in a way…
Most database monitoring tools are built for the wrong audience. The dashboards are designed to reassure managers, the alerts are calibrated to satisfy compliance checklists, and the reports are formatted for quarterly reviews. None of that is useful at 10 PM when an application is returning timeouts and the on-call developer is asking for an update every three minutes.What a DBA needs in that moment is a tool that already has the context. Not raw data that needs to be assembled under pressure. Not a list of thresholds that were crossed. The actual context: what was running, what was waiting,…
A survey of 628 enterprise IT leaders conducted by the Futurum Group finds well over a third (36%) plan on spending more than $1 million on observability in 2026, with 7% planning to spend in excess of $5 million. Mitch Ashley, vice president and practice lead for software lifecycle engineering at the Futurum Group, said that the increased level of spending suggests more enterprise IT organizations are committing to observability in the age of artificial intelligence (AI). Specifically, there is now a pressing need to extend the collection of telemetry data to capture the intent of AI agents that are…
An agent without context is roughly as useful as asking a very fast junior analyst who has never seen your business. What makes an agent genuinely reliable and allows it to answer questions accurately rather than just plausibly is a well-structured semantic layer sitting between it and the raw data. Think about what a good data analyst brings to the table: knowledge of the business domain, familiarity with where the data lives, an understanding of the relationships between tables, the logic behind calculated fields, the gap between what a column is called and what it actually means in practice. The semantic layer is the structured representation of…
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new to this blog party, I encourage you to check out the rules. If you are new to blogging, please consider contributing. You don’t need to post about or be proficient with T-SQL to participate. We are always excited to have new participants. Be sure to post your blog on Tuesday, April 14, 2026.The InvitationWe are in the heart of the spring conference season. Maybe you had the opportunity to attend FabCon / SQLCon or a weekend event like Data Saturday. This month I’m inviting you to…
New York, USA, April 7th, 2026, CyberNewswire Minimus, the premier source for secured container images has unveiled that Yaell Nardi has joined as Chief Business Officer (CBO). Through this move, Nardi will architect the company’s next phase of scale and growth, focusing aggressively on growth strategies and operation As the market landscape evolves and AI reshapes customer acquisition, Minimus is pioneering an “operational powerhouse” model, which will be lead by Nardi to aggressively scale the marketing funnel and other strategic alliances. “We are entering a phase of aggressive expansion that requires rigorous execution and a completely new playbook. Traditional marketing strategies…