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Banking verified Verified Outcome TRL 9

Graph Analytics for Crime Networks

domain Client: Major Swedish Bank handshake Provider: Internal / Nice Actimize schedule Deploy: 2020-2023
87 Impact
Enterprise Ready
Evidence Score: 4/10
Strength: Medium

Executive Summary

ANALYST: COI RESEARCH

Following regional money laundering scandals, the bank implemented advanced graph analytics to visualize and detect complex relationships between entities across borders.

rate_review Analyst Verdict

"Regulatory necessity. Traditional row-based transaction monitoring cannot see the 'web' of connections typical of sophisticated laundering networks. Graph databases are now the standard for advanced investigation."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

The bank needed to uncover complex money laundering networks that utilized shell companies and mule accounts across multiple jurisdictions. Traditional monitoring systems looked at transactions in isolation and failed to identify the hidden relationships and shared attributes (e.g., shared addresses, IPs) that link these bad actors.

psychology The Solution

The institution deployed a graph analytics platform that links customers, accounts, and transactions as nodes and edges in a network. This allows investigators to instantly visualize the flow of funds through multiple layers of shell companies and identify the ultimate beneficial owners.

settings_suggest Technical & Deployment Specs

Integrations
Case Management
Deployment Model
On-prem
Data Classification
PII/Financial
Estimated TCO / ROI
Medium
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Data Privacy Medium Strict access controls

trending_up Impact Trajectory

Audited value realization curve

Visualization of complex networks Verified Outcome
Primary KPIFaster investigation times
Audit CycleRegulatory compliance improvement

policy Compliance & Gov

  • Standards: EU AML
  • Maturity (TRL): 9
  • Evidence Score: 4/10
  • Data Class: PII/Financial

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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The "Blind Verification" Protocol

How we verified these outcomes for Major Swedish Bank without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-446
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-446

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