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Model Context Protocol has a security problem that won't go away.When VentureBeat first reported on MCP's vulnerabilities last October, the data was already alarming. Pynt's research showed that deploying just 10 MCP plug-ins creates a 92% probability of exploitation — with meaningful risk even from a single plug-in.The core flaw hasn't changed: MCP shipped without mandatory authentication....
Chinese AI and tech firms continue to impress with their development of cutting-edge, state-of-the-art AI language models.Today, the one drawing eyeballs is Alibaba Cloud's Qwen Team of AI researchers and its unveiling of a new proprietary language reasoning model, Qwen3-Max-Thinking.You may recall, as VentureBeat covered last year, that Qwen has made a name for itself in the fast-moving global...
One of the biggest constraints currently facing AI builders who want to deploy agents in service of their individual or enterprise goals is the "working memory" required to manage complex, multi-stage engineering projects.Typically, when a AI agent operates purely on a stream of text or voice-based conversation, it lacks the structural permanence to handle dependencies. It knows what to do, but...
Anthropic announced Monday that users can now open and interact with popular business applications directly inside Claude, the company's AI assistant—a significant expansion that transforms the chatbot from a conversational tool into an integrated workspace where employees can build project timelines, draft Slack messages, create presentations, and visualize data without switching browser tabs....
Your web gateway can't see it. Your cloud access broker can't see it. Your endpoint protection can't see it. And yet 95% of organizations experienced browser-based attacks last year, according to Omdia research conducted across more than 1,000 IT and security leaders.Still, three campaigns in 12 months are making the threat more concrete. ShadyPanda infected 4.3 million users through extensions...
When Anthropic announced Monday that it was embedding nine workplace applications directly inside Claude, transforming its AI chatbot into what I earlier described as a "workplace command center," Asana was among the headliners.But while the broader launch signals a new era of AI-native productivity tools, Asana's participation reflects a deeper strategic bet — one that positions the project...
Presented by Insight EnterprisesOrganizations today are trapped in proof-of-concept purgatory because yesterday’s models don’t work for today’s AI challenges.Everyone’s racing to prove what AI could do. But the real winners are those who have realized that AI deployment is not a technology project — it is a core operational capability. Success depends on execution, not just far-reaching visions...
Presented by SplunkOrganizations across every industry are rushing to take advantage of agentic AI. The promise is compelling for digital resilience — the potential to move organizations from reactive to preemptive operations.But there is a fundamental flaw in how most organizations are approaching this transformation.We are building brains without sensesWalk into any boardroom discussing AI...
The industry consensus is that 2026 will be the year of "agentic AI." We are rapidly moving past chatbots that simply summarize text. We are entering the era of autonomous agents that execute tasks. We expect them to book flights, diagnose system outages, manage cloud infrastructure and personalize media streams in real-time.As a technology executive overseeing platforms that serve 30 million...
The modern customer has just one need that matters: Getting the thing they want when they want it. The old standard RAG model embed+retrieve+LLM misunderstands intent, overloads context and misses freshness, repeatedly sending customers down the wrong paths. Instead, intent-first architecture uses a lightweight language model to parse the query for intent and context, before delivering to the...