Case Study: a law enforcement agency streamlines criminal asset confiscation with GraphAware Hume and Neo4j

Law Enforcement Agency - Customer Case Study

The client, a law enforcement agency, faced the challenge of manually identifying criminal assets hidden within complex company ownership structures, a process that was severely hampered by data silos and could take a skilled team up to four weeks per case. To streamline this confiscation process, the agency partnered with GraphAware and utilized their Hume platform on Neo4j to consolidate and analyze disparate data.

GraphAware Hume enabled the agency to create a single view of intelligence, instantly revealing multi-hop connections in ownership networks and their associated assets. This solution reduced the time required to identify assets for confiscation from four weeks to approximately one hour for a single analyst. This dramatic improvement in speed and efficiency allowed the taskforce to identify significantly more criminal assets and better understand the complex structures used by organized crime.