Can discovery happen without exposure? Join us for a conversation and live demo on how Index Network is building a privacy-first protocol for intent-driven discovery. We'll explore how autonomous agents interpret human intent securely, how personal context becomes portable, and why agentic infrastructure enables connection without compromising privacy.
Can something be private yet discoverable? — Index Network
Index shifts discovery from performance to presence, where builders and thinkers don't need to broadcast themselves to be found—just express what they're looking for.
NEAR Intents | Simplifying Web3 Interactions
NEAR Intents let users and AI agents define what they want to do—NEAR handles the rest. A new framework for seamless, multichain execution without complexity, powered by solvers and Chain Signatures.
Agentic Browser Security: Indirect Prompt Injection in Perplexity Comet | Brave
The attack we developed shows that traditional Web security assumptions don't hold for agentic AI, and that we need new security and privacy architectures for agentic browsing.
ProbablyFrens, Contextual Feeds and Intent-Based Discovery
It’s that time of the year—ETHDenver is just around the corner! Index will be there, and if you’re attending, we’d love to connect! But that’s not all—Index has been evolving, bringing new experiences to make discovery more intuitive and personalized.Meet ProbablyFrens: The Matchmaker AgentWe’re introducing Index’s Matchmaker Agent, an autonomous connector that helps you find the friendships, collaborations, and conversations that should already exist. Whether you’re looking for thought partn...
Signal President Meredith Whittaker calls out agentic AI as having 'profound' security and privacy issues | TechCrunch
Signal President Meredith Whittaker warned Friday that agentic AI could come with a risk to user privacy. Speaking onstage at the SXSW conference in
HUGE — AI Without Giving Up Your Privacy
We're building an Agentic AI Platform running on your Device that lives with YOU, isolated from the cloud, fundamentally reimagining the relationship between humans and artificial intelligence through ownership, privacy, and massive context. In an age of capture and control, HUGE sells independence and sovereignty.
39C3 - AI Agent, AI Spy
Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index and Verified AgentFacts
The Internet is poised to host billions to trillions of autonomous AI agents that negotiate, delegate, and migrate in milliseconds and workloads that will strain DNS-centred identity and discovery. In this paper, we describe the NANDA index architecture, which we envision as a means for discoverability, identifiability and authentication in the internet of AI agents. We present an architecture where a minimal lean index resolves to dynamic, cryptographically verifiable AgentFacts that supports multi-endpoint routing, load balancing, privacy-preserving access, and credentialed capability assertions. Our architecture design delivers five concrete guarantees: (1) A quilt-like index proposal that supports both NANDA-native agents as well as third party agents being discoverable via the index, (2) rapid global resolution for newly spawned AI agents, (3) sub-second revocation and key rotation, (4) schema-validated capability assertions, and (5) privacy-preserving discovery across organisational boundaries via verifiable, least-disclosure queries. We formalize the AgentFacts schema, specify a CRDT-based update protocol, and prototype adaptive resolvers. The result is a lightweight, horizontally scalable foundation that unlocks secure, trust-aware collaboration for the next generation of the Internet of AI agents, without abandoning existing web infrastructure.
Introducing Index App
We're excited to launch Index App, introducing a new way to discover ideas, insights, and connections through multiple autonomous agents that understand context and respect privacy. Whether you're following AI developments, looking for interesting events in your area, or seeking specific technical discussions, Index App ensures you never miss what's important to you. Think of it as having a group of thoughtful friends who know your interests, spot valuable discussions, and make introductions ...
The lethal trifecta for AI agents: private data, untrusted content, and external communication
If you are a user of LLM systems that use tools (you can call them “AI agents” if you like) it is critically important that you understand the risk of …
Playing with Parlances - Permissioned Data & AT Protocol - AT-WayFinding
Community privacy is one of our top priorities at @transrights.northsky.social which isn't possible out of the box with any ATproto implementation today that doesn't just hide an entire PDS. We're developing in the open and so I've published a proposal on it, feedback as always is we
Agentic Product Development - Erlend Sogge Heggen
Securing the Model Context Protocol: Building a safer agentic future on Windows
As AI agents become more capable and integrated into daily workflows, the need for secure, standardized communication between tools and agents has never been greater. At Microsoft Build 2025, we’re announcing an early preview of how Windows 11 is e
The key questions: how much power will apps be given to determine and enforce what data is permissioned? What incentives will apps have to make any data public? So far the protocol has been a forcing function for (adversarial) interop. We need to be intentional about not recreating app silos.
daniel holmgren 🫠
hey we're really working on permissioned data! read the first in a series of posts i'll be doing about our design decisions along the way. this one is about our decision to not do an e2ee system
