Wallet Protection

Give Every User Enterprise-Grade Transaction Security

Real-time transaction simulation, phishing detection, and asset screening embedded directly into retail wallet experiences via a single API across 70+ chains.

99.5
%
detection rate with <0.001% false positives zero-friction protection
300
+
risk types monitored across security financial governance and compliance
70
+
chains covered with real-time fraud security and compliance screening

Real-Time Risk Intelligence for Every User Transaction and Interaction

X
Transaction Simulation

Simulate every transaction before execution. Present human-readable balance changes, approval grants, and risk warnings that surface hidden drainer logic and malicious intent.

X
Fraud, Phishing, & Scam Detection

ML-powered detection of phishing domains, drainer contracts, address poisoning, and pig-butchering infrastructure, often within minutes of deployment.

X
dApp, URL & NFT Screening

Real-time reputation assessment of dApps, URLs, and NFTs, flagging impersonation sites, malicious scripts, and scam projects before users connect.

X
Token Screening

Automated detection of honeypot mechanics, rug-pull indicators, impersonation tokens, and malicious airdrops, flagging high-risk assets at the point of swap or interaction.

X
Ongoing Portfolio Monitoring

Continuously scan incoming transactions and tokens for spam, scams, and malicious assets. Alert users via API, webhook, or push notification.

Proven in Public. Verified Onchain

Security is integral to delivering the best possible experience for our users. By partnering with Hypernative, Reown remains at the forefront of the ever-evolving security landscape.

Derek Rein
CTO
@
Reown

How Wallet Protection Works

1
User Initiates a Transaction or Interaction

When a user prepares to sign, connect to a dApp, or interact with a token, the wallet submits the action to the Wallet Protection API before execution.

1
Simulate, Analyze, and Classify Risk

Wallet Protection simulates the transaction and applies real-time detection engines assessing balance changes, contract interactions, approvals, phishing indicators, and 300+ threat vectors.

1
Return Risk Insights and Recommendations

The API returns a risk classification, human-readable interpretation, and approve/deny recommendation for the wallet to display in the signing UI.

1
Protect Continuously Post-Transaction

Ongoing monitoring scans incoming transactions and tokens for spam, scams, and malicious activity, flagging suspicious items via API, webhook, or push notification.

Frequently Asked Questions

What is Hypernative Fraud Prevention?

A real-time withdrawal fraud detection and decisioning product that identifies phishing, scams, pig-butchering, address poisoning, drainer activity and other schemes, blocking fraudulent transactions before funds leave via API-first integration.

How does Fraud Prevention differ from legacy compliance tools?

Legacy tools detect fraud after transactions settle, often weeks later. Hypernative detects in real time before the transaction executes. In benchmarking, we identified 96% of scam addresses vs. 28% by competing providers.

What is scam network clustering?

Proprietary machine learning models and graph analysis that identify fraud clusters and hidden wallet relationships across all onchain activity. These models are able to catch coordinated scams that individual address checks miss.

How does the automated decisioning API work?

When a withdrawal or transfer is initiated, the API evaluates the destination in real time and returns an APPROVE or DENY recommendation with supporting evidence, enabling automated fraud blocking.

What types of fraud does it detect?

Pig-butchering scams, investment fraud, phishing domains, drainer contracts, address poisoning, honeypot tokens, impersonation tokens, DNS hijacking, fake airdrops, coordinated scam networks - and more.

How does it integrate?

A single API endpoint that integrates into any withdrawal, transfer, or payment flow. Supports exchanges, custodians, payment providers, and wallets with real-time response at payment-speed latency.

Can I enhance detection with my own data?

Yes. Fraud Prevention can be enhanced with your own historical data for improved detection accuracy specific to your user base and transaction patterns.