NanoClaw, the open-source AI agent platform created by Gavriel Cohen, is partnering with the containerized development platform Docker to let teams run agents inside Docker Sandboxes, a move aimed at one of the biggest obstacles to enterprise adoption: how to give agents room to act without giving them room to damage the systems around them.The announcement matters because the market for AI agents is shifting from novelty to deployment. It... Read more ›
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xAI has launched Grok Business and Grok Enterprise, positioning its flagship AI assistant as a secure, team-ready platform for organizational use. These new tiers offer scalable access to Grok’s most advanced models — Grok 3, Grok 4, and Grok 4 Heavy, already among the most performant and most cost-effective models available in the world — backed by strong administrative controls, privacy guarantees, and a newly introduced premium isolation layer called... Read more ›
2
Four in 10 enterprise applications will feature task-specific AI agents this year. Yet, research from Stanford University’s 2025 Index Report shows that a mere 6% of organizations have an advanced AI security strategy in place.Palo Alto Networks predicts 2026 will bring the first major lawsuits holding executives personally liable for rogue AI actions. Many organizations are grappling with how to contain the accelerating and unpredictable nature of AI threats. Governance... Read more ›
5
When initially experimenting with LLMs and agentic AI, software engineers at Notion AI applied advanced code generation, complex schemas, and heavy instructioning. Quickly, though, trial and error taught the team that it could get rid of all of that complicated data modeling. Notion’s AI engineering lead Ryan Nystrom and his team pivoted to simple prompts, human-readable representations, minimal abstraction, and familiar markdown formats. The result was dramatically improved model performance.... Read more ›
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The AI narrative has mostly been dominated by model performance on key industry benchmarks. But as the field matures and enterprises look to draw real value from advances in AI, we’re seeing parallel research in techniques that help productionize AI applications. At VentureBeat, we are tracking AI research that can help understand where the practical implementation of technology is heading. We are looking forward to breakthroughs that are not just... Read more ›
9
When Google released its newest AI image model Nano Banana Pro (aka Gemini 3 Pro Image) in November, it reset expectations for the entire field. For the first time, uses of an image model could use natural language to generate dense, text-heavy infographics, slides, and other enterprise-grade visuals without spelling errors. But that leap forward came with a familiar tradeoff. Gemini 3 Pro Image is deeply proprietary, tightly bound to... Read more ›
3
For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows.That stability eroded as successive waves introduced NoSQL document stores, graph databases, and most recently vector-based systems. In the era of agentic AI, data infrastructure is once again in flux — and evolving faster than at any point in recent memory.As 2026 dawns, one lesson has become... Read more ›
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Facebook and Instagram parent company Meta’s agreement to acquire Manus for more than $2 billion — announced last night by both companies and reported in The Wall Street Journal — marks one of the clearest signals yet that large tech platforms are no longer just competing on model quality, but on who controls the execution layer of AI-powered work.Manus, a Singapore-based startup founded by Chinese entrepreneurs that debuted earlier this... Read more ›
16
Active Directory, LDAP, and early PAM were built for humans. AI agents and machines were the exception. Today, they outnumber people 82 to 1, and that human-first identity model is breaking down at machine speed.AI agents are the fastest-growing and least-governed class of these machine identities — and they don’t just authenticate, they act. ServiceNow spent roughly $11.6 billion on security acquisitions in 2025 alone — a signal that identity,... Read more ›
1
At 77-year-old promotional products company Gold Bond Inc., CIO Matt Price knew generative AI adoption wouldn’t come from rolling out a chatbot. Employees needed AI embedded into the work they already hated doing: messy ERP intake, document processing, and call follow-ups.Instead of pitching benchmarks, Price built a small group of “super-users” to surface Gold Bond–specific examples and train the rest of the org. They then wired Gemini and other models... Read more ›
15
Hot on the heels of its new $140 million Series D fundraising round, the multi-modal enterprise AI media creation platform fal.ai, known simply as "fal" or "Fal" is back with a year-end surprise: a faster, more efficient, and cheaper version of the Flux.2 [dev] open source image model from Black Forest Labs.Fal's new model FLUX.2 [dev] Turbo is a distilled, ultra-fast image generation model that’s already outperforming many of its... Read more ›
2
With the ecosystem of agentic tools and frameworks exploding in size, navigating the many options for building AI systems is becoming increasingly difficult, leaving developers confused and paralyzed when choosing the right tools and models for their applications.In a new study, researchers from multiple institutions present a comprehensive framework to untangle this complex web. They categorize agentic frameworks based on their area of focus and tradeoffs, providing a practical guide... Read more ›
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Presented by Microsoft and NVIDIAAs the world’s leading platform providers and champions for advancing AI globally, NVIDIA and Microsoft continue to deliver unequaled value for organizations investing in and deploying AI. The companies’ collaborative efforts at the 2025 Microsoft Ignite conference offered tangible proof, introducing practitioners and decision-makers to new and expanded AI infrastructure and cloud solutions for accelerating enterprise transformation and real-world impact with AI agents.IT an Read more ›
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The drumbeat for AI is deafening. We’re surrounded by a mix of hype, fear and intense pressure to do something with this technology that seems to be advancing at the speed of light. For CIOs and enterprise technology leaders, the path forward can seem murky and fraught with the risk of missteps. But I believe the greatest risk isn't getting it wrong; it's waiting for a “perfect” AI strategy while... Read more ›
1
For the past year, enterprise decision-makers have faced a rigid architectural trade-off in voice AI: adopt a "Native" speech-to-speech (S2S) model for speed and emotional fidelity, or stick with a "Modular" stack for control and auditability. That binary choice has evolved into distinct market segmentation, driven by two simultaneous forces reshaping the landscape.What was once a performance decision has become a governance and compliance decision, as voice agents move from... Read more ›
0
It's refreshing when a leading AI company states the obvious. In a detailed post on hardening ChatGPT Atlas against prompt injection, OpenAI acknowledged what security practitioners have known for years: "Prompt injection, much like scams and social engineering on the web, is unlikely to ever be fully 'solved.'"What’s new isn’t the risk — it’s the admission. OpenAI, the company deploying one of the most widely used AI agents, confirmed publicly... Read more ›
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While Silicon Valley debates whether artificial intelligence has become an overinflated bubble, Salesforce's enterprise AI platform quietly added 6,000 new customers in a single quarter — a 48% increase that executives say demonstrates a widening gap between speculative AI hype and deployed enterprise solutions generating measurable returns.Agentforce, the company's autonomous AI agent platform, now serves 18,500 enterprise customers, up from 12,500 the prior quarter. Those customers collectively run more t Read more ›
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Presented by EdgeVerveArtificial intelligence (AI) has long promised to change the way enterprises operate. For years, the focus was on assistants, systems that could surface information, summarize documents, or streamline repetitive tasks. While valuable, these technological assistants were reactive: they waited for human prompts and provided limited support within narrow boundaries.Today, a new chapter is unfolding. Agentic AI, whose systems are capable of autonomous decision-making and multi-step orchest Read more ›
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João Freitas is GM and VP of engineering for AI and automation at PagerDutyAs AI use continues to evolve in large organizations, leaders are increasingly seeking the next development that will yield major ROI. The latest wave of this ongoing trend is the adoption of AI agents. However, as with any new technology, organizations must ensure they adopt AI agents in a responsible way that allows them to facilitate both... Read more ›
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Tony Stoyanov is CTO and co-founder of EliseAIIn the 2010s, tech companies chased staff-level specialists: Backend engineers, data scientists, system architects. That model worked when technology evolved slowly. Specialists knew their craft, could deliver quickly and built careers on predictable foundations like cloud infrastructure or the latest JS frameworkThen AI went mainstream.The pace of change has exploded. New technologies appear and mature in less than a year. You can’t hire... Read more ›
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While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models.Yesterday, the company released FunctionGemma, a specialized 270-million parameter AI model designed to solve one of the most persistent bottlenecks in modern application development: reliability at the edge. Unlike general-purpose chatbots, FunctionGemma is engineered for a single, critical utility—translating natural language user commands into structured code that apps and devices... Read more ›
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20.03.2026 15:04
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