Anthropic授权引入Opaque机密计算技术并招入其CEO与CTO
Anthropic拿下Opaque的机密计算技术，敏感数据不解密也能跑AI，连CEO、CTO一起挖来。
Anthropic以授权加招聘的方式引入Opaque Systems的机密计算技术，并聘入其CEO Aaron Fulkerson与CTO Rishabh Poddar等工程师。Opaque的平台让AI任务在硬件密封环境中运行，并生成密码学证据，银行或医院可据此验证哪些代码、在哪台机器、按什么规则访问了数据。该技术源自约10年前的UC Berkeley RISELab项目，Opaque今年2月以2400万美元B轮融资获得3亿美元估值，累计融资5550万美元。Anthropic此前已是Opaque客户，并在2025年6月与Pattern Labs发布过机密推理设计方案。双方均未说明Opaque是否继续为ServiceNow、Accenture等现有客户服务。
Anthropic's new acqui-hire deal.
Its licensing Opaque Systems’ technology for running AI on confidential data and hiring some of its engineers, including CEO Aaron Fulkerson and CTO Rishabh Poddar.
> Standard encryption guards data on disk and across networks, but a model can only read it once it’s decrypted in memory. > Opaque’s platform closes that gap by running AI jobs inside hardware-sealed environments that produce cryptographic evidence of what happened during each run. > That evidence lets a bank or hospital verify which code touched its records, on which machine and under which rules.
That technology began as a UC Berkeley RISELab project about 10 years ago and carried Opaque to a $300M valuation after a $24M Series B in February, with $55.5M raised in total.
Anthropic was already an Opaque customer and had published a confidential inference design with Pattern Labs in June 2025, while noting that some AI chips still lack full confidential computing support.
Neither company has said whether Opaque’s platform will keep serving ServiceNow, Accenture and its other customers under the license-and-hire structure.
