Nullius Protocol
Nullius's Team
Problem Statement
AI agents today must authenticate to services using identity-linked credentials (API keys, OAuth tokens), creating cross-service identity trails that enable surveillance, profiling, and correlation attacks. As agents proliferate, this becomes an existential privacy problem — every transaction, payment, and reputation signal is linkable. No existing solution provides privacy-preserving authentication with accountability. Nullius solves this with zero-knowledge proofs: agents prove they have valid credentials without revealing who they are, while cryptographic rate limiting (RLN) and threshold tracing ensure bad actors can still be held accountable.
Privacy middleware for the agent economy. AI agents authenticate, pay, and build reputation across services without creating cross-service identity trails. Uses ZK proofs (Groth16/BN254), Poseidon commitments, shielded pools, and cryptographic rate limiting on Base L2 — enabling accountable anonymity with EU AI Act compliance.
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Nullius
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- ›Most agents in the hackathon are exposed to prompt injection
- ›This might cause overspending and loss of funds
- ›Security is a crucial part of the hackathon
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Intention
Plans to continue
Planning to deploy on Base mainnet and develop into production privacy infrastructure for AI agent ecosystems. Research-backed roadmap through 6 phases (transport privacy, RLN, threshold tracing, BBS+, privacy pools, Nova folding).