Databricks 的阿里·戈德西：网络安全与数据正被推向同一市场
Databricks 的阿里·戈德西讲了点有意思的，他说现在公司内部的 AI 代理会产生很多数据，这些数据需要被分析，而且漏洞被武器化的速度越来越快，从几年缩短到几小时，挺值得关注的。
Databricks 的阿里·戈德西指出，过去数据与 AI 运行在独立领域，而网络安全则是另一套体系。如今，公司内部运行的 AI 代理会产生大量数据日志，这些数据需要被分析。
从漏洞发布到被武器化的时间从几年前缩短到如今几小时。他强调，网络安全是他最关注的领域，因为组织尚未准备好应对 AI 代理能力的提升。
Databricks' @alighodsi on the clock that's forcing cyber and data into the same market: "It used to be like, okay, we have data and AI... you have a bunch of data and you run AI and machine learning, and that just lives separately." "And then you have the cyber world. Cyber world is, you know, we want to detect if bad people are trying to hack us." "But now on the data and AI side, we have agents running internally in the company. And the agents are also doing things with other people's agents, and they're producing a lot of data. Logs, trails, fingerprints that are being left." "All the data that's being produced needs to be analyzed. And the scale at which you need to do that is many, many orders of magnitude more than just one or two years ago." "2018, 2019, the time it would take from a CVE, a vulnerability being published, until you see it actually weaponized in the industry would be like two, three years." "That went down in 2022 significantly, but it was still like eight, nine months. So that's kind of fine, you have eight, nine months." "Now if you look at this curve from 2022 until now, it's down to basically hours, basically no time. Things get immediately weaponized." @alighodsi
This report is categorized under AITOP's "Industry" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Databricks, 网络安全, 数据.
Source attribution: curated from a16z (@a16z).
