Your AI-Powered Decentralized Identity
Your AI-Powered
Decentralized Identity
Prove identity and compliance with AI and zero-knowledge proofs while staying fully in control of your data.
Prevent bots and farming abuse
Protecting the startup ecosystem from fake users
Bot protection for DeFi, GameFi, SocialFi
Enhanced trust in financial applications
Enhanced trust in financial applications
- •Own your digital identity and share only what’s needed, when it’s needed.
- •Access DeFi, RWA platforms, and Web3 apps without repeatedly handing over full documents.
- •Keep sensitive information off public chains while still proving eligibility and compliance.
- •Protect launches, airdrops, and incentive programs from bots, farms, and sybil attacks.
- •Run KYC/AML-aware flows using proofs instead of raw user data, reducing data-custody risk.
- •Plug AI-DID into DeFi, GameFi, SocialFi, and RWA apps via BitNetChain’s multi-VM execution layer.
- •Meet regulatory and audit requirements while preserving client confidentiality.
- •Use AI-backed identity, risk, and fraud models with on-chain proofs for verifiable outcomes.
- •Enable compliant RWA tokenization and STO flows that rely on strong, privacy-preserving identity.
Privacy-Preserving KYC/AML
Perform identity checks and monitor suspicious activity via AI/ML and zero-knowledge proofs, not raw personal data. Compliance signals are verifiable on-chain, while underlying data stays encrypted and off-chain.
TradFi & Institutional Ready
Designed for banks, fintechs, and asset managers who need clear audit trails, strong privacy guarantees, and deterministic behavior, all anchored to BitNetChain’s secure, BFT-style consensus.
RWA & STO Rails
Use AI-DID as the identity backbone for Real-World Asset platforms and Security Token Offerings by linking investor identity, eligibility checks, and access control to tokenized instruments.
How does AI-DID keep my identity private?
AI-DID verifies your documents and biometrics off-chain using AI/ML models. Only cryptographic proofs and minimal attributes are stored or checked on-chain, so your raw data never sits on a public ledger or centralized identity silo.
How is AI used without putting everything on-chain?
Heavy computations—risk scoring, fraud detection, identity checks—run off-chain on ML models. The results are wrapped in zero-knowledge proofs and submitted on-chain, where validators verify the proof before executing any action.
Is AI-DID mandatory for using BitNetChain?
No. Core protocol usage remains permissionless. AI-DID is an optional identity layer that apps can adopt for use cases requiring stronger assurances, such as compliant DeFi, RWA platforms, or regulated markets.
Who controls my identity data?
You do. BitNetChain's DID model is self-sovereign: you decide which attributes (e.g., "over 18", "KYC-verified") to disclose to each app, and applications simply verify the proof anchored in the DID contract.
Can AI-DID help stop bots and sybil attacks?
Yes. Behavioral pattern recognition and risk models can assign anomaly scores to accounts. Only the scores and proofs are surfaced on-chain, allowing dApps to throttle or block suspicious activity without doxxing users.
How does AI-DID support RWA and institutional finance?
By combining privacy-preserving identity proofs, selective disclosure, and off-chain ML for risk and fraud analysis, AI-DID gives RWA and institutional platforms a way to meet KYC/AML expectations while preserving user confidentiality.
A Layer 1 blockchain for scalable, secure, and programmable networks.
