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Anthropic announced a new platform last week, Claude Managed Agents, aiming to cut out the more complex parts of AI agent deployment for enterprises and competes with existing orchestration frameworks.Claude Managed Agents is also an architectural shift: enterprises, already burdened with orchestrating an increasing number of agents, can now choose to embed the orchestration logic in the AI model layer. While this comes with some potential advantages, such as speed (Anthropic proposes its customers can depl
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ĐĐœĐŸĐłĐžĐ” ĐșĐŸĐŒĐ°ĐœĐŽŃ ŃĐ”ĐčŃĐ°Ń ŃĐșŃпДŃĐžĐŒĐ”ĐœŃĐžŃŃŃŃ Ń ĐĐ. ĐĄŃĐ°ĐČŃŃ ĐĐ-ĐžĐœŃŃŃŃĐŒĐ”ĐœŃŃ Đž ŃĐŽĐžĐČĐ»ŃŃŃŃŃ ĐșĐ°Đș ŃДзĐČĐŸ ŃĐ°ŃŃŃŃ ĐșĐŸĐŽĐŸĐČĐ°Ń Đ±Đ°Đ·Đ°. ĐĐŸ ŃŃĐ°ŃŃŃĐ” ЎлОŃŃŃ ĐœĐ”ĐŽĐŸĐ»ĐłĐŸ. ĐŃĐ”ĐœŃ Đ±ŃŃŃŃĐŸ ĐČŃŃŃĐœŃĐ”ŃŃŃ ŃŃĐŸ ĐșĐŸĐ»ĐžŃĐ”ŃŃĐČĐŸ Đ±Đ°ĐłĐŸĐČ ŃĐ°ŃŃŃŃ Ń ŃĐŸĐč жД, Đ° ĐżĐŸŃĐŸĐč Đž ĐŸĐżĐ”ŃДжаŃŃĐ”Đč ŃĐșĐŸŃĐŸŃŃŃŃ. Đ Đ°ŃĐŽĐžŃŃ, Ń ĐŸŃŃ ĐĐ Đž ŃЎДлал ĐžŃ ĐŽĐŸŃŃŃĐżĐœĐ”Đ”, ŃĐ°Đ·ĐŽŃĐČĐ°ŃŃ Đ±ŃĐșĐ»ĐŸĐł ĐœĐ° ĐœĐ”ĐŽĐ”Đ»Đž ĐČпДŃŃĐŽ.йОпОŃĐœĐ°Ń ĐžŃŃĐŸŃĐžŃ 2026 ĐłĐŸĐŽĐ°. ĐĐ-ŃĐ”ĐČĐŸĐ»ŃŃĐžŃ ŃĐ»ŃŃОлаŃŃ Đ±ŃŃŃŃДД, ŃĐ”ĐŒ ĐŒŃ ĐŸŃĐŸĐ·ĐœĐ°Đ»Đž ŃŃĐŸ ĐżŃĐŸĐžĐ·ĐŸŃĐ»ĐŸ Đž ŃŃĐŸ Ń ŃŃĐžĐŒ ЎДлаŃŃ. РглаĐČĐœĐŸĐ”, ĐșĐ°Đș ĐČŃŃŃŃĐ°ĐžĐČĐ°ŃŃ ĐżŃĐŸŃĐ”ŃŃŃ ŃĐ°Đ·ŃĐ°Đ±ĐŸŃĐșĐž ĐżĐŸ-ĐœĐŸĐČĐŸĐŒŃ,... Read more âș
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VentureBeat
For the last 18 months, the CISO playbook for generative AI has been relatively simple: Control the browser.Security teams tightened cloud access security broker (CASB) policies, blocked or monitored traffic to well-known AI endpoints, and routed usage through sanctioned gateways. The operating model was clear: If sensitive data leaves the network for an external API call, we can observe it, log it, and stop it. But that model is starting... Read more âș
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Data drift happens when the statistical properties of a machine learning (ML) model's input data change over time, eventually rendering its predictions less accurate. Cybersecurity professionals who rely on ML for tasks like malware detection and network threat analysis find that undetected data drift can create vulnerabilities. A model trained on old attack patterns may fail to see today's sophisticated threats. Recognizing the early signs of data drift is the... Read more âș
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Presented by EdgeverveSmart, semiâautonomous AI agents handling complex, realâtime business work is a compelling vision. But moving from impressive pilots to productionâgrade impact requires more than clever prompts or proofâofâconcept demos. It takes clear goals, dataâdriven workflows, and an enterprise platform that balances autonomy, governance, observability, and flexibility with hard guardrails from day one. From pilots to the âoperational grey zonesâThe next wave of value sits in the connective tissue Read more âș
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Presented by EdgeverveSmart, semiâautonomous AI agents handling complex, realâtime business work is a compelling vision. But moving from impressive pilots to productionâgrade impact requires more than clever prompts or proofâofâconcept demos. It takes clear goals, dataâdriven workflows, and an enterprise platform that balances autonomy, governance, observability, and flexibility with hard guardrails from day one. From pilots to the âoperational grey zonesâThe next wave of value sits in the connective tissue Read more âș
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A growing number of developers and AI power users are taking to social media to accuse Anthropic of degrading the performance of Claude Opus 4.6 and Claude Code â intentionally or as an outcome of compute limits â arguing that the companyâs flagship coding model feels less capable, less reliable and more wasteful with tokens than it did just weeks ago. The complaints have spread quickly on Github, X and... Read more âș
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Presented by AWSAutonomous agents are compressing software delivery timelines from weeks to days. The enterprises that scale agents safely will be the ones that build using spec-driven development.Thereâs a moment in every technology shift where the early adopters stop being outliers and start being the baseline. Weâre at that moment in software development, and most teams donât realize it yet.A year ago, vibe coding went viral. Non-developers and junior developers... Read more âș
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The software industry is racing to write code with artificial intelligence. It is struggling, badly, to make sure that code holds up once it ships.A survey of 200 senior site-reliability and DevOps leaders at large enterprises across the United States, United Kingdom, and European Union paints a stark picture of the hidden costs embedded in the AI coding boom. According to Lightrun's 2026 State of AI-Powered Engineering Report, shared exclusively... Read more âș
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Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation counts alongside academic papers, break single-turn RAG systems. New research from Databricks puts a number on that failure gap. The company's AI research team tested a multi-step agentic approach against state-of-the-art single-turn RAG baselines across nine enterprise knowledge tasks and reported gains... Read more âș
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Microsoft today launched MAI-Image-2-Efficient, a lower-cost, higher-speed variant of its flagship text-to-image model that the company says delivers production-ready quality at nearly half the price. The release, available immediately in Microsoft Foundry and MAI Playground with no waitlist, marks the fastest turnaround yet from Microsoft's in-house AI superintelligence team â and the clearest signal that Redmond is serious about building a self-sufficient AI stack that doesn't depend on OpenAI.The new... Read more âș
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A viral post on X from veteran programmer and former Google engineer Steve Yegge set off a rhetorical firestorm this week, drawing sharp public rebuttals from some of Googleâs most prominent AI leaders and reopening a sensitive question for the company: how deeply are its own engineers really using the latest generation of AI coding tools? The debate began after Yegge summarized what he said was the view of his... Read more âș
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