为快车而建的刹车：为什么最不特权让周一。 com的人工智能团队动作更快
由于AI agents分布在企业工作流程中，许可管理正在成为保护他们安全的最实用的杠杆之一。 Agents用人们给他们的接入来行动，所以现在的老问题是扩展权限以机器速度运行。
治理常常是对这一势头的一种抑制，特别是在工作平台将agents建设成日常工具时。 以本地agents作为AI工作平台重启的"周一.com"的取景地为：设计完善的"卫道"让队伍更快地前进，根据Ryan Nigro(图片)，安全信任和赋能团队在周一.com领先。
Nigro 称：“汽车上的刹车不适合你不停地减速。 “这样你就能自信地走得更快。
尼格罗在星期一与CUBE的"丽贝卡骑士"交谈。 SiliconANGLE Media的直播工作室。 他们讨论了许可管理如何是AI agent安全的关键。 (* 以下披露。 )
授权管理作为AI治理的核心
网路安全团队首先适用于人类用户。 他解释道，AI主要做雇员已经做的事，因此，修补方式是逐个推出AI片段，给予每个工具所需的最低访问权限，并随着结果的证明而扩大。
“你不想同时让所有功能都能够使用，尼格罗称。
每天的人员调动都造成了一些最大的差距。 Nigro指出，一个从财务转向法律的雇员最终可能在没有严格许可管理的情况下将这两个部门的准入限制在公司。 他引述了IBM公司的研究，估计80%至90%的违反是因过度允许造成的人为错误造成的。
奈克罗称。 “销售代表没有理由能够改变你的生产环境。”
SiliconANGLE的部分内容和CUBE对星期一的报道。 com的精英活动：
(* 披露：周一.com赞助CUBE的这一部分。 无论是周一.com还是其他赞助商对CUBE或SiliconANGLE上的内容都没有编辑控制。 )
照片：SiliconANGLE
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Brakes built for speed: Why least privilege lets monday.com’s AI teams move faster
As AI agents spread across enterprise workflows, permission management is becoming one of the most practical levers for keeping them safe. Agents act with the access people give them, so the old problem of sprawling privileges now plays out at machine speed.
Governance is often cast as a brake on that momentum, especially as work platforms build agents into everyday tools. The view at monday.com Ltd., which relaunched as an AI work platform with native agents, is that well-designed guardrails let teams move faster, according to Ryan Nigro (pictured), security trust and enablement team lead at monday.com.
“The brakes on a car are not for you to be slowing down constantly,” Nigro said. “It’s so that you could feel confident in going faster.”
Nigro spoke with theCUBE’s Rebecca Knight at monday.com’s Elevate event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how permission management is key to AI agent safety. (* Disclosure below.)
Permission management as the core of AI governance
Nigro’s approach rests on least privilege, a concept cybersecurity teams first applied to human users. AI largely does what employees already do, so haywire permissions for people become a problem for agents too, he explained. The fix is to roll out AI piece by piece, granting each tool the minimum access it needs and expanding as results prove out.
“You don’t want to enable all the features and give everybody all the access all at once. That’s just bad permissions,” Nigro said.
Everyday personnel moves create some of the biggest gaps. An employee who shifts from finance to legal can end up holding both departments’ access at companies without strict permission management, Nigro noted. He cited an IBM Corp. study estimating that 80% to 90% of breaches stem from human error tied to over-permissioning.
“It just comes to making sure that your users are properly being given just enough to do their roles but not too much to cause harm,” Nigro said. “There’s no reason why a sales rep should have the ability to change your production environment.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of monday.com’s Elevate event:
(* Disclosure: monday.com sponsored this segment of theCUBE. Neither monday.com nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
Photo: SiliconANGLE
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