Case Study: Detecting Unusual Activity
In this example, analysts used on-chain monitoring to identify large token transfers and prevent unauthorized withdrawals before they occurred.
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Use public explorers and risk assessments to confirm wallet history and legitimacy.
Follow token movements and identify patterns using analytics dashboards.
Explore free AML tools and APIs for automated compliance checks.
Learn to use privacy-focused wallets and mixers during compliance reviews.
In this example, analysts used on-chain monitoring to identify large token transfers and prevent unauthorized withdrawals before they occurred.
A review of a community-maintained scanner highlighting features like real-time alerts, customizable risk thresholds, and integration tips.
Recommendations for teams on setting up efficient workflows, reducing manual effort, and maintaining accurate records.
Crypto Anti-Money Laundering (AML) refers to the set of policies, procedures, and tools used to monitor, detect, and prevent illicit financial activities on blockchain networks. By analyzing transaction flows and identifying unusual patterns, crypto AML helps maintain trust and integrity across decentralized systems.
Why is it essential?
AML practices help ensure transparent and trustworthy blockchain ecosystems by identifying and mitigating illicit activity.
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