Phala Re-poster

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 Partners with Storacha

By joining forces with @storachanetwork, Phala is working to advance the capabilities of AI agents. This collaboration leverages Storacha as the decentralized, encrypted storage layer, complemented by Phala providing TEE-backed confidential computation. It is a mutually beneficial result. 🍵 🤝 🐔

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/

We are making our way to #NEARCON2026!

Phala CEO @marvin_tong is set to be in San Francisco on Feb 23 & 24. He is prepared to meet with researchers and builders who support our vision: incorporating AI into the real economy while guaranteeing it stays trustworthy, open, and accessible to everyone.

http://nearcon.org

.@nova_sdk is developing privacy-first, decentralized file sharing for user-owned AI.

By integrating Phala's verifiable TEEs via Shade Agents, encryption keys remain fully off-chain, hardware-secured, and attestable, unlocking safe AI data persistence at scale.

According to the Check Point CTO at the World Economic Forum, AI is projected to contribute nearly $20 trillion to global GDP by around 2030—but only if it is built on verifiable trust. Consequently, the concept of trust defining AI’s $20 trillion economic opportunity is being featured as a major theme at this year’s @wef Annual Meeting in Davos.

With 19 U.S. states enforcing comprehensive privacy laws and AI-specific rules emerging, compliance is becoming a minefield, particularly around data-in-use protection.

Phala simplifies this by processing AI workloads inside verifiable TEEs, delivering data-in-use protection out-of-the-box.

With comprehensive privacy laws now enforced by 19 U.S. states and AI-specific rules emerging, compliance has become a minefield, particularly concerning data-in-use protection.

Phala Network simplifies this landscape by processing AI workloads inside verifiable TEEs, providing data-in-use protection out-of-the-box.

We're excited to partner with @DataHaven_xyz to power end-to-end confidential AI.

Phala secures computation with TEEs and trusted enclaves, while DataHaven provides private, verifiable storage for sensitive AI data and state. Together, we give builders a trusted path to deploy AI on highly sensitive data.

Mike Bursell (CCC) highlights 2026 as a breakout year for Confidential Computing, driven by genuine demand from enterprises, regulators, and AI for verifiable data-in-use protection, with attestation serving as a core trust primitive.

This observation mirrors Phala’s thesis: confidential compute is shifting from infrastructure to application-level trust and sovereignty.

The Phala team is aware of a phishing airdrop attack on our Discord server. We have taken action to remove the scam links and recover permissions. Please note that there is no airdrop, and any domain other than "https://t.co/M2pxJVpvy3" or "https://t.co/bi3bUqW46b" is not official.

The Phala team is present at #CES2026!

If you’re attending as well and believe that privacy represents the future of AI, don’t hesitate to reach out to @marvin_tong and @bgmshana to connect!

Phala concluded the year 2025 with its most successful month to date for confidential AI models, processing approximately 48 billion tokens in December. This achievement was marked by consistent baseline traffic and a notable mid-month surge that surpassed 3 billion tokens per day.

This serves as a robust indicator of significant, scalable production-grade demand.

When your AI is unable to access your data and you can demonstrate this, the potential for adoption increases significantly.

@hashhunterbot leverages Phala's confidential computing technology to transform intentions into secure, non-custodial actions. This ensures that strategies, behaviors, and executions remain private and can be verified by both users and autonomous agents.