Automated news aggregation. Headlines and summaries are gathered from public feeds; see our editorial standards for sourcing, corrections, and AI-assist disclosure.
At Ai4, three of the world's most respected AI experts—Geoffrey Hinton, Fei-Fei Li, and Andrew Ng—debated regulation, open-source access, and how America can compete as China advances in Asia.
Advertisement
About this story
This story was aggregated from TechCrunch AI. Headlines, summaries, and links are gathered automatically from public RSS feeds for your convenience.
Visa's president of technology, Rajat Taneja, walked the VB Transform 2026 audience through aiming Anthropic's Mythos at Visa's own payment network. The model stitched minor weaknesses into working exploit chains, and Visa open-sourced the harness that governed the hunt. That's what it looks like when an enterprise has the engineering depth to act on what it finds. Most don't get there. Just over half, or 53%, of enterprises have already had an agentic security incident or near-miss. Sixty-five percent enforce agent permissions at runtime, yet only 18% isolate their highest-risk agents, and just 8% pair enforcement with isolation. Leaning on provider-native controls to do the heavy lifting of agentic security just exacerbates that gap. The July wave of VentureBeat Pulse Research found that 92% of enterprises naming a primary security layer default to their hyperscalers and AI platform providers. Six waves of research have been completed since January, surveying 440 qualified enterprise security respondents. The key takeaway: the containment gap between what enterprises need and what's getting done is growing wider, often unaddressed by enterprises whose agentic AI investments and futures are at risk. The satisfaction data doesn't match the incident data The research keeps showing enterprises rating the tools they know best at a higher score, even if those tools failed them or delivered mediocre results. Three findings from the raw data cut against that instinct, and each one says something about how young this market still is. The enterprises that got hit rate their tools higher than the ones that didn't Last month’s survey found that 46 enterprises reported a confirmed incident or near-miss, then went on to rate their satisfaction with their security tooling. Their average satisfaction was 4.39 out of 5. 30 of the 55 enterprises who experienced no incidents rated their security tooling at 4.13. Enterprises are rewarding any tool that saves them from a breach with a trust premium. It’s a sure sign of a nascent market when brand positioning, marketing, or other means of persuading enterprises get easily superseded by saving a customer from a breach. Near-misses outnumber confirmed incidents 2-to-1 in both June and July, which means enterprises are catching problems at the edge. That edge catch is being interpreted as validation of both the security strategy and the tools acquired. Evident through seven months of data is how quick enterprise security leaders are to trust a new tool that identifies an intrusion or breach and defeats it before it gains access. VentureBeat believes the rescue itself is doing the marketing. The 4.13 average among never-hit enterprises shows the other side of the same effect. Tools that have never been seen working earn less trust, not more. VentureBeat also found that of the 17 enterprises isolating their highest-risk agents, the 14 that rated their tooling average 4.00. Enterprises that do not isolate rate it 4.35. T…
Related coverage: SpaceX Just Unveiled Grok 4.6. Musk Calls it "Objectively #1" In AI. Anthropic, OpenAI and This Stock May Be in Trouble. 24/7 Wall St.
