Amer Sinha, Software Engineer, and Ryan McKenna, Research Scientist, Google Research
How Google is Making Private AI Practical with Homomorphic Encryption
Today we're excited to showcase HEIR, the latest powerful tool added to our Private Computing Toolkit. HEIR is an open source compiler that unlocks cryptographically-sec…
Tests Are The New Moat | Daniel Saewitz
As AI becomes better at cloning people's open source work, what ends up becoming most valuable are software contracts, tests, and API surface area. This clashes the incentives of clearly defining your commercialized open source software with protecting it.
Extensible Software in the age of LLMs | Jeremy Morrell
Solid core + capability-based sandboxes + LLMs = Users with superpowers
Gajesh on Twitter / X
TL;DRapple has turn on this switch for everyone to participate in decentralized inferenceppl can rent out their unused compute space and anyone can use this with privacy guarantees https://t.co/LTP4zyjsdt pic.twitter.com/8Dvo7XK8jJ— Gajesh (@gajesh) February 18, 2026
Tinfoil - Private AI
AI that keeps your data private at all times. Fast, powerful, and verifiable, thanks to secure hardware enclaves.
Nicholas Carlini - Black-hat LLMs | [un]prompted 2026
Mesh-LLM/mesh-llm
Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat.
Research | Tiles Book
Progressive experiments exploring decentralized software technologies for privacy adoption at scale.
CAPSEM: Contextual Agent Privacy and Security Manager
Contribute to google/capsem development by creating an account on GitHub.
Building Software for a Zero Trust World
How we are helping to build Zero Trust architectures that safeguard the most protected data in the world
How do we pay for privacy?
If you haven’t read Julia Angwin’s excellent profile of GnuPG’s lead developer Werner Koch, now would be a great time to check it out. Koch, who single-handedly wrote GnuPG in 1…
15 Open-Source Tools for Digital Sovereignty (2026) | Comparisons & Alternatives | Vucense
Own your digital stack. The 15 best open-source tools for privacy, security, and full control over your data — reviewed and ranked for 2026.
Towards Feasible, Private, Distributed LLM Inference
Exploring how the Secure Transformer Inference Protocol (STIP) protects inputs, outputs, and model weights with lightweight permutations enabling efficient, privacy-safe LLM inference at scale.
Private Post-Training and Inference for Frontier Models
A technical deep dive of Silo, our local-like privacy stack for cloud-based training and inference of trillion-parameter models.
Meet the Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases
Meet the Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases
any-llm platform: Cloud Vault and Usage Tracking for LLMs
any-llm managed platform adds end-to-end encrypted API key storage and usage tracking to the any-llm ecosystem. Keys are encrypted client-side, never visible to us, while you monitor token usage, costs, and budgets in one place. Supports OpenAI, Anthropic, Google, and more.
