{"id":44689,"date":"2025-04-23T19:58:15","date_gmt":"2025-04-23T19:58:15","guid":{"rendered":"https:\/\/www.europesays.com\/uk\/44689\/"},"modified":"2025-04-23T19:58:15","modified_gmt":"2025-04-23T19:58:15","slug":"sentient-leans-on-confidential-computing-to-isolate-and-secure-open-source-ai-applications","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/uk\/44689\/","title":{"rendered":"Sentient leans on confidential computing to isolate and secure open-source AI applications"},"content":{"rendered":"

Peter Thiel-backed artificial intelligence development startup Sentient<\/a> is looking to differentiate itself in terms of security with the launch of a new system for deploying AI applications in Trusted Execution Environments.<\/p>\n

The new Sentient Enclaves Framework v0.70<\/a>\u00a0brings the concept of \u201cconfidential computing<\/a>\u201d to AI development. Announced\u00a0today, it\u2019s meant to ensure full data isolation, verifiability and attestation for AI applications, the company said. It uses Amazon Web Services Inc.\u2019s AWS Nitro Enclaves technology to ensure that neither AWA nor the host system is able to access or modify AI workloads. In that way, it says, it provides rock-solid guarantees around AI data security.<\/p>\n

TEEs create a hardware-enforced security boundary<\/a> directly on the chip that processes the data used by AI models to prevent unauthorized access by anyone, including the owner of the server. According to Sentient, it paves the way for enterprises to build and run AI applications powered by their most sensitive data, with iron-clad guarantees<\/a> that this information will never be exposed or compromised.<\/p>\n

As a result, AI agents can safely access extremely sensitive details such as people\u2019s credit card information, personal messages and calendars, which can power more personalized AI applications, the company said.<\/p>\n

The Sentient Enclaves use AWS Nitro as a foundation to ensure that applications run as intended, without any possibility of nefarious actors making unauthorized modifications. They\u2019re fully open source too, meaning they\u2019re accessible to anyone who\u2019s interested in using them.<\/p>\n

Open source is the name of the game for Sentient, which raised $85 million<\/a>\u00a0from backers including Peter Thiel\u2019s Founders Fund last June to try to break the dominance of centralized AI model developers such as OpenAI and Google by encouraging collaborative community development.<\/p>\n

With Sentient\u2019s platform, developers can work together on the development of open-source large language models that rely on shared datasets and decentralized computing resources. Its platform is built on blockchain technology, and its ecosystem uses cryptocurrency to reward participants based on their contributions.<\/p>\n

Sentient co-founder Himanshu Tyagi said the Sentient Enclaves Framework will enable AI developers to \u201cengrain loyalty\u201d in their AI models. \u201cOur user-friendly TEE framework enables Loyal AI \u2014 making sure users can trust the code running their AI applications,\u201d he said.<\/p>\n

According to Tyagi, loyalty in AI requires the implementation of \u201ctechnical guarantees\u201d that such systems are running as promised, without any possibility of tampering or surveillance. He believes TEEs are the best available technology to do that.<\/p>\n

\u201cOur framework makes one of the most powerful security technologies accessible to anyone,\u201d he said. \u201cDevelopers can safely build AI applications that protect user data from potential attackers, as well as service providers and cloud operators.<\/p>\n

The framework is available now, and in the coming weeks Sentient will introduce an update \u2013 the v0.7.1 release \u2013 that introduces file system attestation capabilities to enable real-time verification of any job, file system change or execution process, so users will be able to trust the entire runtime behavior of its secure AI models.<\/p>\n

Sentient says TEEs are needed because there is growing concern in the industry about how AI systems handle user\u2019s private data. It claims that the framework will be able to address questions raised by the Irish Data Protection Commission\u2019s investigation into X Corp.\u2019s use of EU citizen\u2019s data to train its Grok AI models, for example.<\/p>\n

Cryptocurrency exchanges including Coinbase Global Inc. and Biconomy Ltd. have already deployed secure AI applications within Sentient\u2019s Enclaves Framework so they can leverage sensitive customer data, the company said. It didn\u2019t specify the nature of these applications.<\/p>\n

In the future, Sentient wants to go beyond AWS Nitro and support additional TEE environments such as Intel Corp.\u2019s Trust<\/a> Domain Extensions<\/a>, Advanced Micro Devices Inc.\u2019s Secure Encrypted Virtualization<\/a> and Nvidia Corp.\u2019s Multi-Instance GPU<\/a> technology.<\/p>\n

Image: SiliconANGLE\/Dreamina<\/p>\n

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