client under nda

A Financial Crime Investigation Unit

follow the wallet, then follow the mentions

We cannot name this client. Everything below is the work itself, described in full without identifying them.

A Financial Crime Investigation Unit product screens
Blockchain forensics: wallet tracing correlated with open-source and darknet intelligence.

the challenge

A closed team, capped at six users by requirement, needed authorised access to blockchain analysis from anywhere. We proposed several capabilities that were not in the original requirement, because analysis you cannot act on has no value.

objectives

  • Turn a list of addresses into a picture of who is behind them, and keep it current without an analyst re-running the same query every morning.

our solution

Relational analysis draws a graph from two or more addresses: wallets as nodes, edges carrying the total transacted. It surfaces common counterparties with totals against each, and labels wallets by provider where identifiable.

Independent analysis takes one address three ways: a ledger table with click-through to other addresses, a timeline of inbound and outbound branches against time, and an intelligence tab watching public social and code platforms for mentions of it and searching darknet indexes across a large corpus of forums.
Investigations automate that. Pick an address, choose what to watch and an optional end date, and it re-runs twice daily, badging new events onto one aggregated page. Address markers (name, description, risk level) are shared and colour-code a marked address wherever it appears. Access is two-factor and lockout-protected, behind a further gate so the link alone grants nothing.

inside the product

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