AI News

A rogue AI agent at Meta exposed sensitive company and user data to hundreds of engineers who had no right to see it. The incident lasted two hours and was classified as a near-critical security event. It's a warning every enterprise deploying AI agents should take seriously.

Mistral AI launched Forge, a platform that lets enterprises train frontier AI models directly on their own documentation, codebases, and operational processes. The launch marks a significant shift: AI no longer has to be borrowed from a generic cloud model. Enterprises can now own the intelligence itself.

Nvidia announced the DGX Station at GTC 2026: a deskside supercomputer that runs frontier AI models locally, without touching the cloud. For European enterprises concerned about data residency and vendor lock-in, this is a significant infrastructure shift.

S&P Global's latest survey finds that 42% of companies abandoned most of their AI initiatives in 2025, up from 17% the year before. The average organization scrapped 46% of AI proof-of-concepts before they reached production. The problem isn't the models — it's how projects are structured.

Anthropic has launched the Claude Partner Network with a $100 million commitment, formalizing the ecosystem of consultancies and agencies helping enterprises deploy Claude in production. The move signals that the hard part of enterprise AI is no longer the model - it's the implementation.

Anthropic made its 1M token context window generally available for Claude Opus 4.6 and Sonnet 4.6 yesterday, dropping the long-context premium entirely. Up to 600 PDF pages per request, no extra cost. For enterprises running document-heavy AI workflows, this changes the architecture.

The Model Context Protocol, originally introduced by Anthropic in late 2024, has rapidly become the universal standard for connecting AI agents to enterprise software. With 10,000 active servers, 7 million monthly downloads, and backing from every major AI lab, MCP is now infrastructure. Dutch businesses that want to deploy AI agents need to understand what this means for their ERP, CRM, and document systems.

Perplexity's 'Computer' agent is now available to enterprise customers, orchestrating 20 AI models simultaneously and connecting to internal data via the Model Context Protocol. The launch reveals something critical: in a multi-model AI world, the integration layer between your data and these agents is what actually determines whether AI works for your organisation.

Google has announced a sweeping upgrade to Gemini inside Google Workspace. With a single text prompt, Gemini can now draft documents, spreadsheets, and presentations by synthesizing data from Gmail, Drive, Chat, and the open web. For enterprises, this raises an urgent question: should your AI document capabilities depend entirely on Google?

Microsoft just launched a $99/month governance platform for enterprise AI agents — because 29% of them are already running without IT approval. The "double agent" problem is real, and most companies have no idea how exposed they are.

Under EU antitrust pressure, Meta will allow competitor AI chatbots on WhatsApp Business in Europe. This regulatory push for interoperability signals a broader shift against platform lock-in, with implications for how businesses approach AI integration in customer communications.

OpenAI just launched Codex Security, an AI agent that finds and fixes real security vulnerabilities. In 30 days, it scanned 1.2 million commits and found 792 critical issues. This is what AI agents moving from demos to production actually looks like.

OpenAI just released GPT-5.4, their first general-purpose model with native computer-use capabilities. Combined with a new tool search feature that cuts token usage by 47%, this marks a turning point for enterprises building AI agents that actually execute work, not just chat.

Junyang Lin and several core team members behind Alibaba's Qwen models have resigned, creating uncertainty around one of the most capable open-source model families. Here's why even sovereign AI strategies need to hedge across multiple model providers.

OpenAI just released GPT-5.3 Instant with significant improvements: 27% fewer hallucinations, better conversational flow, and improved accuracy. For enterprises, the real lesson isn't about this specific model, but what happens when your AI provider updates models every few months.

A bombshell investigation reveals Meta's AI smart glasses stream intimate user data to human reviewers in Kenya, including bathroom footage and sex scenes. For enterprises using AI, this raises critical questions about where your data actually goes.

Google Chrome has launched WebMCP in early preview, a new standard for AI agents to interact with websites through structured APIs. As AI agents evolve from chatbots to autonomous workers, this announcement signals a fundamental shift in how businesses need to think about their digital infrastructure.

The US Pentagon has officially designated Anthropic as a 'supply chain risk,' forcing contractors to divest from Claude within six months. Meanwhile, OpenAI signed a separate military agreement. This escalation reveals the strategic importance of model-agnostic architecture and sovereign AI deployments for European enterprises.

OpenAI has secured $110 billion in one of the largest private funding rounds in history, with investments from Amazon, Nvidia, and SoftBank. This historic round validates the AI market but raises critical questions about vendor concentration and strategic flexibility for enterprises.

In a landmark decision, Anthropic CEO Dario Amodei has publicly refused Pentagon demands to remove safeguards against mass surveillance and fully autonomous weapons from Claude. This standoff reveals crucial lessons about AI governance, reliability, and the importance of human oversight in mission-critical deployments.

Security researchers discovered nearly 3,000 Google API keys, originally deployed for public services like Maps, now silently authenticate to Gemini AI. This 'retroactive privilege escalation' exposes a fundamental flaw in how enterprises manage AI credentials, and why sovereign AI architecture matters more than ever.

Inception Labs has released Mercury 2, a revolutionary LLM that generates responses through parallel diffusion rather than sequential tokens. At 1,009 tokens/second, it's changing the economics of production AI. Here's why your architecture needs to be ready.

The first provisions of the EU AI Act came into force on February 2, 2025. Organizations using AI must now comply with strict transparency and risk assessment requirements. Here's what you need to know.