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Red Hat ships AI platform for hybrid cloud deployments

Red Hat has made its Red Hat AI Enterprise platform generally available, with the intent to provide an AI platform to simplify development and deployment of hybrid cloud-based applications powered by AI. Availability of the platform was announced February 24. Engineered to solve the “production gap” for AI, Red Hat AI Enterprise unifies AI model and…

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‘Silent’ Google API key change exposed Gemini AI data

Google Cloud API keys, normally used as simple billing identifiers for APIs such as Maps or YouTube, could be scraped from websites to give access to private Gemini AI project data, researchers from Truffle Security recently discovered. According to a Common Crawl scan of websites carried out by the company in November, there were 2,863…

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FinOps for agents: Loop limits, tool-call caps and the new unit economics of agentic SaaS

The first time my team shipped an agent into a real SaaS workflow, the product demo looked perfect. The production bill did not. A small percentage of sessions hit messy edge cases, and our agent responded the way most agents do: it tried harder. It re-planned, re-queried, re-summarized and retried tool calls. Users saw a…

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Confluent Extends Its Reach Up the AI Stack With Agent2Agent Support

The conversation around AI agents has focused heavily on reasoning. Less attention has gone to coordination. Enterprises that have been experimenting with agents are struggling to manage agents that share context and operate across live business systems without stepping on each other. Running a single agent on streaming data is manageable. Running several agents across…

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