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Brex assumes its AI agents could do anything — so it watches the network, not the code
An LLM now decides which network requests Brex's AI agents are allowed to make — and it only has to step in about 2% of the time.
Ben Dickson
Stanford is running 37,000 AI agents as a virtual biotech — and one of its drug designs got independently confirmed by Merck
The agents that designed this drug also argue with each other. Researchers found multi-agent debate produces more robust results than a single model working alone.
Ben Dickson
AI coding agents are blowing through budgets — Replit, Kilo Code, and Symbotic explain how they're managing it
One engineer's $600-a-day AI bill. A support automation that blew through the budget. Three companies share what they now track instead of raw spend.
Taryn Plumb
Asana's AI agents share memory across your company — but not your secrets
How do you let an AI agent learn from a secret M&A deal without ever letting that memory reach an employee who isn't supposed to know? Asana's CPO explains the fix.
Ben DicksonSubscribe to get latest news!
Deep insights for enterprise AI, data, and security leaders
Mastercard spent decades training its fraud system to see bots as thieves. Now bots are the ones doing the buying.
Greg Ulrich says Mastercard scores 175 billion transactions a year in under 100 milliseconds — and it just got a lot more complicated.
Louis Columbus
At Waymo, an AI project isn't ready until its evals are — not when the model performs well
Waymo's Manasi Joshi shared how the company decides an AI system is safe enough for the road — and what any enterprise team can borrow from it.
Carl Franzen
Enterprise AI agents can't talk to each other, can't be trusted with permissions, and can't be audited — 5 startups are already fixing that
One startup said it cut cyberattack containment time from seven hours to twelve minutes. See four other approaches to running AI agents safely at scale.
Taryn Plumb
Target SVP says its real AI moat isn't the models — it's everything built around them
One Target store's AI-driven inventory call looked like a mistake. Analysts let it run anyway — a small bet that's shaping how much autonomy AI earns next.
Taryn Plumb
Visa used Mythos to hunt for bugs in its own payment network, then open-sourced the harness that made it possible
Mythos found critical bugs deep in Visa's stack that would normally surface late in pen testing. Rajat Taneja explains why Visa gave away the tool that found them.
Louis Columbus
Instacart's CTO says AI made the company stop worrying about tech debt
Instacart's engineers no longer read most of the code they ship. CTO Anirban Kundu explains why that's made tech debt a non-issue.
Taryn Plumb
GM redesigned its engineering workflows around AI agents — and tripled its merged pull requests
At VB Transform 2026, GM's Rashed Haq detailed how loop-by-loop agent access — not a chatbot bolted onto coding — reshaped the automaker's entire engineering pipeline.
Carl Franzen
Runway couldn't fix a bug in its AI video model, so it turned the bug into a feature
When Runway's real-time AI avatars kept drifting off-center, engineers spent weeks chasing a back-end fix. The one that worked wasn't in the model at all.
Ben Dickson