There’s a particular energy to mid-September in New York. Pumpkin spice lattes are flowing, temperatures are dropping, and it’s nearly sweater weather. The city is back at full speed, and so is the AWS launch calendar. This week that energy showed up in a new frontier model on Amazon Bedrock, a desktop app for Amazon […]
Author Archives: Lucian Systems
The Model Context Protocol is the common wire between an AI agent and the tools it is allowed to use. AWS, Azure, and Google Cloud all ship MCP servers now, and they are not the same product with different logos. One side of the market is a cloud control plane for agents. The other is […]
AI agent security has a boundary problem. A sandbox can constrain where code executes. It can limit filesystem access, network access, processes, and resource consumption. Those controls matter, especially when an agent is compiling unknown code or running an untrusted workload. But the moment an agent is useful enough to act on real systems, the […]
Last year, we introduced Volume Clones of Amazon Elastic Block Store (Amazon EBS), a new capability that lets you create instant point-in-time copies of your EBS volumes within the same Availability Zone. Today, we are extending Volume Clones with cross-account copy, so you can create copies of your EBS volumes into other AWS accounts and […]
ADP Research recently published Unbundling jobs: Measuring the value of tasks in an AI economy, with the Stanford Digital Economy Lab. Nela Richardson and Andrew Wang do not ask whether AI is deleting occupations. They price the work inside them. That is the correct unit of analysis. It is also the unit most talent systems […]
Image Source: WBUR When I talk to customers about AI, there’s one question that always seems to come up: “Will AI take my job?” My answer, “Maybe.” It’s an honest response that often catches people off-guard, but the answer is grounded in every technology shift since the Industrial Revolution. Some work will be automated, some […]
In this episode of the CloudTweaks Podcast, host Steve Prentice sits down with Francis Martens, CEO and co‑founder of Exalate, to explore one of the most urgent and least understood challenges in modern enterprise technology: integration in the age of AI agents. As Steve frames it in the opening, AI agents are beginning to act […]
Last week, Claude Fable 5.1 became available on AWS. According to Anthropic, Claude Fable 5.1 delivers frontier intelligence for ambitious tasks across coding, scientific research, and enterprise workflows. Claude Fable 5.1 is built for long-running, high-stakes work that runs for hours and spans many applications. It can own more of a software project on its […]
For years, security teams have built their security information and event management (SIEM) systems around rules. SIEMs identify patterns, look for specific log events, correlate sets of signals, and generate alerts when predefined conditions are met. Some platforms add machine learning and behavioral analytics on top of that. Even then, you’re still defining what normal […]
Traditional enterprise apps sit on a fairly stable mix of operating system packages, web frameworks, and databases. AI stacks do not. A typical inference image can pull in a Python runtime, CUDA, cuDNN, TensorRT, PyTorch or TensorFlow, Transformers, a model server, and a pile of scientific libraries. Third-party models, pretrained weights, and GPU drivers move […]