AI-Powered Compliance for Cardano

RiskLens AI provides real-time risk analysis and compliance monitoring for Cardano wallets, ensuring regulatory adherence and enhanced security.

Suspicious Pattern Detection

Identifies high-risk behaviors like rapid fund dispersion and connections to illicit addresses.

Comprehensive Risk Scoring

Generates a detailed risk score from 0-100 based on transactional analysis and behavioral patterns.

Regulatory Compliance

Ensures adherence to AML/KYC standards with automated compliance checks and reporting.

Actionable Recommendations

Provides clear, AI-driven recommendations to mitigate identified risks and improve security.

Example Report

See a sample of the detailed analysis our AI provides.

BLOCKCHAIN WALLET RISK ANALYSIS REPORT

📍 addr_test1qppxpxvzkfu4nwtn3vkvc2m28detgdvf578w9y97w6mavg2qytwvzv3da380tpl955pscqn8exn4pgs87lqcdtvd0j6q0f0ss2

📅 2024-06-14T12:00:00Z

RISK ASSESSMENT

Risk Score

25/100

Risk Category

Medium

Trust Score

75/100

Compliance

Compliant

EXECUTIVE SUMMARY

The wallet demonstrates frequent, consistent transactions within a single day without signs of suspicious or illicit activities. No connections to risky or flagged addresses are identified. The moderate risk score stems from the rapid transaction frequency, possibly indicating automated activity, but overall behavior suggests standard wallet use.

RISK FACTORS

High-frequency Transactions
Severity: Medium

Description: All transactions occurred rapidly within a single day, suggesting possible automated transfers.

Impact: Adds 10 points to overall risk score due to potential operational risks from rapid transaction timing.

Consistent Transaction Amounts and Fees

Description: Transaction sizes average about 95 ADA with standard fees of approximately 0.174 ADA, reflecting normal network behavior and no erratic patterns.

No Suspicious Activity or Risky Connections

Description: No evidence of double spends, dusting attacks, unusual spikes, anomalous fund movements, or links to mixers/scam wallets found.

RECOMMENDATIONS

  • Monitor continued transaction patterns to identify any changes in frequency or volume.
  • Implement periodic reviews to detect potential future associations with flagged addresses.
  • Maintain standard AML/KYC checks consistent with Medium risk classification.

VERIFICATION

Report Hash:

a4f8d9b7e3c570fa6eddf51c4b89e23056d729aaf3f8e2b441ddfbc4c7e7b002