Phala Re-poster
Empowering 10,000 builders and companies to build scalable, private, and safe intelligence.
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См. перевод
Merely claiming that a system is secure is no longer sufficient when navigating the intersection of Large Language Models and GDPR. In today's landscape, providing concrete verification is essential. Organizations must be able to confidently determine whether sensitive information has any chance of leaking, if the software actively executing matches the exact version that passed security audits, and if cloud infrastructure administrators have the capacity to view data within runtime memory. Discover exactly how privacy-focused computing impacts data compliance in artificial intelligence by reading our complete overview here:
https://phala.com/posts/privacy-preserving-compute-means-for-ai-data-compliance
https://phala.com/posts/privacy-preserving-compute-means-for-ai-data-compliance
См. перевод
Recent forecasts reveal that the TEE industry is set to experience remarkable expansion, advancing at a 20.8% CAGR to achieve a total valuation of $12.36 billion by the year 2030. This impressive trajectory makes perfect sense when we look at current technological trends. With AI agents being deployed on a larger scale and the volume of sensitive information in circulation continuing to climb, relying exclusively on software-only security measures is no longer sufficient. To properly safeguard data in use, implementing hardware-level isolation through TEEs has shifted from an emerging concept to a fundamental requirement.
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Most OpenClaw agents ask for your trust.
@openclawdi doesn’t. It runs in Phala TEEs, so your data stays protected at the hardware level. Not even Phala can see it.
OpenClaw power. 3-min setup. Enterprise privacy.
$29/month.
@openclawdi doesn’t. It runs in Phala TEEs, so your data stays protected at the hardware level. Not even Phala can see it.
OpenClaw power. 3-min setup. Enterprise privacy.
$29/month.
См. перевод
Phala experienced a highly successful period throughout the month of March. Just by looking at the activity on OpenRouter alone, the system successfully processed a daily volume exceeding 1B tokens.
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Phala and Venice AI
Our team is thrilled to provide the foundational technology for the brand new TEE inference mode from @AskVenice. Through this advancement, all of your prompts are processed safely within TEE enclaves. In addition, the system provides a cryptographic attestation to confirm that the model remains entirely untampered. Privacy is our top priority, meaning absolutely nobody can view your data, and that includes our own team at Phala. This is what it means to deliver an AI experience that is fully private while remaining completely verifiable.
Our team is thrilled to provide the foundational technology for the brand new TEE inference mode from @AskVenice. Through this advancement, all of your prompts are processed safely within TEE enclaves. In addition, the system provides a cryptographic attestation to confirm that the model remains entirely untampered. Privacy is our top priority, meaning absolutely nobody can view your data, and that includes our own team at Phala. This is what it means to deliver an AI experience that is fully private while remaining completely verifiable.
См. перевод
Industry trends are sending a clear message that verifiable, hardware-backed AI security is rapidly emerging as the new standard. Reflecting this shift, a brand new Confidential AI solution was just introduced by Fortanix and TELUS during @NVIDIAGTC 2026. This collaboration delivers cryptographic proof of protection, ensuring that sensitive AI workloads remain fully secure while operating across sovereign infrastructure.
См. перевод
Our team put OpenClaw to the test across a 5-turn coding conversation and 8 real tasks. The primary insight from this benchmarking is quite revealing regarding expenses. OpenClaw typically does not incur high costs due to generating excessive text. Rather, the expense arises because the model persistently re-reads the background context.
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Phala has established a partnership with Intel focused on Trust Authority. We are upgrading the attestation abilities of our Confidential AI infrastructure by adopting Intel Trust Authority (ITA). This solution acts as an independent third-party appraiser operating entirely apart from the Phala infrastructure.
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The release of OpenClaw created an immediate sensation. It introduced an AI assistant capable of retaining context, executing tasks, and handling end-to-end workflow automation. Despite the hype, early attempts at configuration revealed serious vulnerabilities, such as the potential for complete agent hijacking through a simple browser tab. These security and usability hurdles remained until the Clawdi team successfully deployed the solution on Phala's TEEs.
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Фала испытывает устойчивый рост на OpenRouter, особенно достигнув объема маршрутизации в 3.28B токенов только 10 февраля. В настоящее время платформа предлагает разнообразный ассортимент конфиденциальных моделей ИИ, каждая из которых работает в защищенной инфраструктуре TEE. Доступные варианты включают gpt-oss-120b, Qwen2.5 7B Инструкция, и GLM 4.7 Flash, а также Gemma 3 27B, Qwen3 VL 30B A3B Инструкция и GLM 5.
См. перевод
Phala and Zeko Labs Unite
We are delighted to team up with @ZekoLabs to integrate confidential rollups designed for AI agents into the Phala TEE infrastructure. By hosting the sovereign, private rollup stack from Zeko within our hardware-enforced TEEs, we ensure that execution, key management, and sequencer operations are protected at the hardware layer.
We are delighted to team up with @ZekoLabs to integrate confidential rollups designed for AI agents into the Phala TEE infrastructure. By hosting the sovereign, private rollup stack from Zeko within our hardware-enforced TEEs, we ensure that execution, key management, and sequencer operations are protected at the hardware layer.
См. перевод
During an appearance on the Partnerships for Profit podcast, Jayson McQuown highlighted a critical issue regarding the interaction between machine learning and personal privacy. Phala's Director of Sales noted that while artificial intelligence expands its capabilities by training on your information, the question remains regarding who holds authority over that data. He emphasized that some information should remain protected, remarking that there are certain things that we probably don't want in the wild, wild web.
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The highly anticipated GLM-5 by @Zai_org is finally here. A 744B-parameter open-source model built for complex systems engineering and long-horizon agentic tasks.
Phala is proud to partner with Zhipu AI as an official deployment partner, helping bring GLM-5 to production.
Phala is proud to partner with Zhipu AI as an official deployment partner, helping bring GLM-5 to production.
См. перевод
Enhancing Security at dstack: Hardening the Attestation Pipeline
Our team has officially released a suite of improvements designed to render attestation verification secure-by-default. We have fully resolved and deployed solutions for all identified findings. Furthermore, we have confirmed that there is no evidence of these vulnerabilities having been exploited. This update has been applied automatically, meaning that dstack users, downstream integrators, and partners do not need to take any action.
Our team has officially released a suite of improvements designed to render attestation verification secure-by-default. We have fully resolved and deployed solutions for all identified findings. Furthermore, we have confirmed that there is no evidence of these vulnerabilities having been exploited. This update has been applied automatically, meaning that dstack users, downstream integrators, and partners do not need to take any action.
Как подчеркивается The Quantum Insider @QuantumDaily, слияние рисков безопасности, связанных с ИИ и квантовыми технологиями, происходит гораздо быстрее, чем ожидалось. Это ставит предприятия в позицию, где они сталкиваются с немедленными уязвимостями из-за систем ИИ. Такая обстановка подтверждает, почему безопасность на аппаратном уровне имеет решающее значение. TEEs эффективно изолируют рабочие нагрузки ИИ на уровне процессора, что способствует криптографической аттестации сегодня и закладывает основу для квантово-устойчивой безопасности в будущем.
См. перевод
Jayson McQuown, Phala Director of Sales, delivered a crucial message regarding artificial intelligence at #NTLSummit Miami. He cautioned that operating AI without a formidable security plan could potentially void attorney-client privilege. In his session, McQuown explored the significance of TEEs and confidential AI, making it clear that for healthcare, law, and similar privacy-critical industries, knowing the precise location of your data is an absolute necessity.
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The dstack Community Call is making a comeback this Thursday. Participants will receive development and dstack updates directly from Phala CTO Hang. We are also hosting lightning talks by Tplus and Uniswap Labs. The event will include live demonstrations of @redpill_gpt as well as a privacy-preserving Telegram bot. Finally, join the Phala and Flashbots teams for open office hours.
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Discover how to launch an AI agent featuring an ERC-8004 identity inside a TEE in less than 5 minutes by following our newly released tutorial.
Phala сотрудничает со Storacha
Объединив усилия с @storachanetwork, Phala работает над улучшением возможностей ИИ-агентов. Это сотрудничество использует Storacha в качестве децентрализованного, зашифрованного слоя хранения, дополненного тем, что Phala предоставляет конфиденциальные вычисления с поддержкой TEE. Это взаимовыгодный результат. 🍵 🤝 🐔
Объединив усилия с @storachanetwork, Phala работает над улучшением возможностей ИИ-агентов. Это сотрудничество использует Storacha в качестве децентрализованного, зашифрованного слоя хранения, дополненного тем, что Phala предоставляет конфиденциальные вычисления с поддержкой TEE. Это взаимовыгодный результат. 🍵 🤝 🐔
См. перевод
The era where companies could simply say "trust us" has come to a close. In the current climate, the market demands proof that can be verified. Highlighting this shift at #Davos2026, the ETH Zurich President stated, “Trustworthy AI has evolved from an abstract aspiration to an operational necessity.”
https://www.weforum.org/stories/2026/01/scaling-trustworthy-ai-into-global-practice/
https://www.weforum.org/stories/2026/01/scaling-trustworthy-ai-into-global-practice/
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