An API-based risk intelligence layer for non-custodial wallets, empowering users to transact safely by alerting them to malicious or risky behaviors before they happen.
Hypernative Wallet Protect provides real-time risk insights into transactions, smart contract interactions, tokens and even dApps and URLs. By integrating Wallet Protect, wallets can:
Hypernative Wallet Protect is built on industry-leading transaction simulation and a deep risk intelligence engine powered by Hypernative’s proprietary, battle-tested threat detection stack.
Detect and alert against known and emerging phishing patterns, malicious smart contracts, and compromised destinations (URLs/dApps) with superior accuracy. Protect users even when traditional allow/block lists fail.
Prevent user mistakes like sending tokens to burn addresses, signing malicious permits, or approving spoofed tokens. Our capabilities extend to identifying complex attack scenarios and safeguarding against catastrophic loss.
Simulate transactions before they're executed to display expected balance changes, token transfers, approvals, and protocol behaviors. Empower users to make informed decisions on what they’re signing, vastly improving overall UX with full visibility into what will happen.
Evaluate the security of any dApp and URL visited through a wallet browser or interaction. Assess risk in real time based on phishing history, social engineering signals, domain spoofing, and more.
Identify malicious, spoofed, or low-quality tokens based on onchain behavior, social footprint, and known scam patterns. Enable red flags for rug pulls and honeypots.
Independently assess NFTs with a specialized reputation engine, incorporating behavioral signals, provenance, scam tagging, and impersonation detection. Protect users from fake or harmful NFT projects.
Monitor onchain (smart contracts, transaction events, governance proposals, wallet interactions) and offchain (web apps, price feeds, governance sites, vulnerability databases) data sources.
Identify over 200 risk types from smart contract hacks and bridge security incidents to frontend compromises, market manipulations, private key theft, and much more.
Use battle-tested, sophisticated machine learning models, heuristics, simulations, graph-based detections, and other techniques to identify threats with high accuracy.