Case Study: Visual Crime Network Investigations Across Billions of Accounts and Messages
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Visual Crime Network Investigations
Across Billions of Accounts and Messages
A leading global online platform, with a user base exceeding several billion accounts, faced a critical challenge: combating sophisticated criminal activities like selling illicit goods, human exploitation, fraud, and money laundering. Investigators were forced to contend with massive, complex data, making it difficult to uncover the true scope of these illicit networks.
Context and Results
The Solution: Investigative Agility at Scale with DataWalk
DataWalk redefined how the customer analyzed vast, interconnected datasets. During a joint engagement, DataWalk rapidly built a unified knowledge graph from billions of records, enabling investigators to analyze data contextually and uncover hidden relationships using its powerful inference engine. A single suspicious entity could connect to seemingly unrelated networks through a chain of intermediaries, but identifying this required sophisticated graph traversal and pattern recognition to uncover hidden risk pathways, and this was beyond the scope of their existing tools.
A critical differentiator was DataWalk’s fuzzy matching engine, purpose-built for large-scale entity resolution. It accurately linked similar usernames and aliases—even with anagrams, symbols, or nickname variations—across billions of data points.
Instead of writing complex custom code, investigators could build modular, step-by-step queries without defining full paths in advance. This “brick-by-brick” method leveraged DataWalk’s optimized computation model to maintain low latency, even across massive graphs.
For example, using the entire >100-billion-element graph, investigators could instantly expand their view from a single suspicious account to reveal:
- 300 connected accounts
- 3 traded artifacts
- 900 associated accounts
- 60,000 IP addresses
- 10,000 related users
— all without hitting graph size or traversal limits. This end-to-end capability enabled the client to move beyond legacy constraints and expose entire criminal networks with unmatched speed and precision.
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