On Chain Risk Scoring

On chain risk scoring is the quantitative assessment of an address or transaction based on its history and interaction with known high-risk entities. This scoring model uses data from blockchain forensics to assign a risk level to participants.

High-risk scores might trigger enhanced due diligence or account freezes, while low-risk scores allow for seamless interaction. This process enables firms to manage their exposure to criminal activity and ensure that they are only engaging with legitimate counterparts.

It transforms complex blockchain data into a simple, actionable metric for risk management teams. It is an essential tool for maintaining institutional-grade security in decentralized markets.