A CISO who sees a low CVE count and deprioritizes prompt injection is reading the scoreboard wrong. Prompt injection has held the No. 1 spot on the OWASP Top 10 for LLM Applications for three consecutive years. When two leaders of that list checked it against 6,639 labeled real-world incidents, it came back at No. …
Perplexity is launching Portable Computer today, a version of its agentic “Computer” platform that runs entirely on hardware users already own — starting with Nvidia’s DGX Spark desktop supercomputer and Linux machines equipped with Nvidia RTX GPUs. The launch, developed in close partnership with Nvidia, is one of the most aggressive attempts yet to move …
Anthropic is making a calculated bet that the biggest bottleneck in enterprise AI isn’t model intelligence — it’s the fact that most people still use AI alone. In an exclusive interview with VentureBeat, Scott White, Anthropic’s head of product for enterprise, laid out the company’s thesis for what it calls “multiplayer AI”: a shift away …
IBM is announcing today at the annual Hot Chips conference what may be the most consequential change to mainframe architecture in decades: a processor whose cores can natively execute both IBM’s own instruction set and Arm’s — switching between the two in nanoseconds. The chip, which will power the next generation of IBM Z and …
IBM’s next-gen mainframe chip is the first to run Arm and Z workloads on the same cores Read More »
Enterprise AI has largely been built around context engineering. Teams connect enterprise systems, generate chunks and embeddings, build retrieval pipelines, and assemble the context needed by individual AI applications. While this approach works well for isolated assistants and copilots, it treats enterprise knowledge as application-specific context rather than a shared enterprise asset. As organizations deploy …
Enterprise AI agents are only as reliable as the messiest documents behind them Read More »
For much of the past two years, the general belief in enterprise AI has been that more autonomy equals better performance. Build agents that can plan, decide, and act across multi-step workflows, and give them as much room to run as possible. That assumption is now being tested at scale, in real production environments — …
Enterprises winning with AI agents are limiting how much the agents can do alone Read More »
When an agentic AI system hands a task from a small model to a larger one — or back down again — it pays a steep tax: the receiving model has to recompute the entire conversation from scratch, driving up compute costs and latency. This is a major bottleneck for enterprises building long-horizon, multi-LLM workflows. …
Nvidia finds that simple linear math can replace costly AI model handoffs Read More »
Slack wants to drag AI coding out of the terminal and into the group chat. The Salesforce-owned messaging platform today announced Slack Code, a new product that embeds AI coding agents — including Anthropic’s Claude Code, Cognition’s Devin, GitHub Copilot, and Vercel’s agent — directly into dedicated Slack channels where entire teams can watch, steer, …
Slack wants to drag AI coding out of the terminal and into the group chat Read More »
Enterprise AI teams have stopped betting on a single orchestration platform. The median enterprise now runs three at once — not by accident, but because none of them fully trusts a single vendor to run the show, according to VB Pulse data. This is not just to avoid vendor lock-in and retain flexibility (although that’s …
One in five enterprises can’t stop a runaway AI agent’s spending in real time Read More »
Adding an AI agent to Slack sounds appealing to many enterprises — but, as VentureBeat has experienced ourselves first hand — the reality is often far more complex and clunkier than it first seems. Now NanoCo., the company behind the hit open source, enterprise-friendly, autonomous AI agent harness NanoClaw (a more sandboxed, lower code version …