Cross-border financial crime analytics

See the whole network behind financial crime.

GlobAML lets financial institutions analyse their transactions together to identify suspicious actors across banks and borders, while each bank’s customer data stays private to that bank.

Bank accounts Flagged Under review Illustrative network. No real accounts.

What GlobAML does

Identifies suspicious actors
Graph analytics over many institutions’ transactions reveals layering chains, round-tripping and mule networks that span banks, and alerts each bank to its own accounts in them.
Keeps data private
Each bank runs its own instance inside attested confidential-computing hardware. A bank’s customer data stays readable to that bank alone, through the whole analysis.
Shares the minimum
Transactions are de-identified before anything leaves the bank. Details are shared case by case, in secure rooms between the institutions involved.
Works across borders
Institutions in different jurisdictions contribute to one analysis, and jurisdiction rules set which of them can meet in a secure room.
Builds on frontier technology
Confidential computing, remote attestation and large-scale graph analysis, combined so that cooperation rests on verifiable code rather than on any single party.

GlobAML is being rolled out to leading financial institutions. It is built by Privasys and integrates with FutureFlow analytics.

contact@privasys.org