Enterprises running always-on AI agents keep hitting the same tradeoff. Send every task to a frontier model and the bill climbs fast. Build custom routing logic to send easy tasks to cheaper models and that becomes its own engineering project, one that has to be maintained every time a workflow changes. Nvidia is proposing a …
Earlier today, OpenAI launched GPT-5.6-Cyber, a specialized model designed to perform advanced vulnerability research and exploit development for approved defenders — including categories of work that its general-purpose models will often refuse. GPT-5.6-Cyber is a fine-tuned version of OpenAI’s most advanced general model, GPT-5.6 Sol, unveiled back in June, but trained specifically to improve performance …
Amazon Web Services is threading its AI-powered security infrastructure directly into the coding environments built by two of its fiercest rivals — and in doing so, it is making a bold bet that controlling the security layer matters more than controlling the model. AWS announced at Black Hat USA 2026 this month that its Continuum …
Brex CEO Pedro Franceschi offered a blueprint for one of the pressing challenges facing the enterprise today at VB Transform 2026: securely deploying AI agents, like the open-source OpenClaw, into production environments. Unlocking this enterprise value requires a mindset shift. The industry needs to move past vague terminology and focus on concrete enterprise roles. “People …
Brex assumes its AI agents could do anything — so it watches the network, not the code Read More »
Presented by MongoDB We have been building databases as an industry for roughly 60 years. We have been building AI agents, in the form most people mean when they say the word today, for about 18 months. Sit with that ratio for a second, because it explains almost everything about the state of agentic development …
Token-maxxing is dead. Agentic memory is what comes next. Read More »
Meta today released Muse Glimmer, a 30-billion-parameter open-weight model designed to run autonomous AI agents directly on consumer hardware — pushing agentic workloads that normally depend on cloud infrastructure onto high-end Macs and PCs. Just as notable as what the model does is how it’s licensed. Glimmer arrives under the permissive, industry-standard Apache 2.0 open …
Content filters can block unsafe output. They cannot tell you whether an agent was authorized to issue that refund, touch that production system, or commit the company to an external action. Those are different problems, and most enterprises are only solving the first one. An AI agent can follow its instructions perfectly and still take …
Your agent didn’t hallucinate; it exceeded its authority Read More »
As enterprise codebases grow, AI agents tasked with analyzing them are buckling under the weight of long-horizon tasks that require multiple interactions and tool calls. Dividing the work among a team of agents seems like the obvious fix, but it introduces a fatal flaw: most multi-agent systems are not designed for agents to coordinate among …
A VB Pulse survey this June found that 57% of enterprises had traced a confidently wrong agent answer back to missing or inconsistent context — the latest sign of how central context has become to whether AI agents can be trusted to act on their own. Most of the fixes so far have solved a …
For developers, the operating assumption has been one engineer, one agent — the model Claude Code and similar tools. At VB Transform 2026, James Zou, associate professor of biomedical data science at Stanford University, argued that assumption is about to break: the next frontier isn’t a single, more capable agent, it’s tens of thousands of …