Blockchain anonymity is one of its defining characteristics, but it also creates opportunities for illicit activities. Hackers, fraud groups, and laundering networks often distribute funds across numerous wallets to conceal their identities.
In crypto investigations, entity identification technology plays a critical role in detecting risky accounts. By analyzing transaction behavior, wallet relationships, and activity patterns, investigation systems can cluster addresses that likely belong to the same entity.
Solutions such as Trustformer KYT combine on-chain behavior analysis with off-chain intelligence to identify the potential entities behind wallets. This approach helps reveal key nodes within transaction networks, including exchanges, OTC brokers, and high-risk services.
When abnormal patterns are detected, the system flags related addresses for further investigation.
Through entity identification techniques, investigators can overcome blockchain anonymity and more accurately identify illicit activity networks.