GOVERNMENT & LAW ENFORCEMENT
FRAUD & CORRUPTION
Connect the dots quickly and collaboratively
Uncovering fraud is a game of connecting the dots between digital evidence and human behavior. Using Nuix software, you can rapidly ingest data from all relevant data sources and apply an arsenal of collaborative fraud analysis techniques.
Statistical analysis and automated monitoring may flag suspect activity but to find proof of fraud, you need to understand human behavior. The clues may lie in emails and attachments, documents, phone call recordings, voicemails, and external sources such as social media.
Nuix’s advanced investigation and digital forensics software has unmatched ability to bring critical evidence to the surface from messy human data sources across the enterprise, in the cloud, and from the real world.
With a hot case, people want the results now. Nuix handles data from a single thumb drive to a petabyte-scale data center and you can start to see results while evidence is processing.
Nuix automatically extracts key intelligence items including individual and company names, email addresses, sums of money, and Social Security and credit card numbers.
Make case data available to personnel working from home, partner agencies, and external experts while maintaining the security and integrity of your evidence.
“This is, without doubt, more robust, more efficient and more cost-effective than anything ever used previously and is definitely the way forward.”
—Senior fraud investigator, Police Scotland
Visualize the connections between people and intelligence items to quickly identify the key players, who they were talking to, and what about.
Use known fraud terms to search and tag, highlighting potentially relevant documents during processing.
Perform simple or complex searches across all data sources and filter by date range, file type, or any other metadata.
Identify documents with similar language and see how people shared, modified, and reused them over time.
Apply round sum, duplicate payments, Benford’s law, and timeline analysis to identify anomalous figures from multiple sources.
Extract location data from digital photos, mobile devices, IP addresses, and other geotagged items, and display them on a map.