NEXYTE_Digital_Forensics_Drug_Trafficking_CS_2026

National Criminal Investigation Unit Uncovers a Hidden Lead in a Cross-Border Drug Investigation →A national criminal investigation unit struggled to identify relevant connections across fragmented case-management data, investigation documents and forensic extractions. →Approximately 90 devices were analyzed, yielding around 20 million entities and relationships and 10 million phone numbers. →NEXYTE modeled the data within its investigative context, enabling analysts to examine connections using identifier-conflict filtering and Visual Link Analysis. →In less than one hour, an analyst identified a relevant phone number and uncovered a connection that months of manual analysis had not revealed. Case Study Key T akeaways The investigation unit was managing large volumes of information distributed across its case- management system, investigation documents and forensic extractions from seized devices. The available data spanned approximately 90 devices and included millions of phone numbers, device identifiers, communications, entities and relationships. Identifying meaningful connections required investigators to trace identifiers across seized-device extractions, case-management records and supporting documents. The volume and complexity of the data made it difficult to determine when seemingly separate identifiers, devices and investigations were connected. Despite months of manual analysis, investigators had not identified a relevant phone number or its connection to another known device . The unit needed a more effective way to examine identifier conflicts, follow relationships across sources and surface relevant information within the existing evidence. Challenge

Solution About Cognyte Cognyte, a global leader in investigative analytics solutions, helps government agencies and other organizations navigate complex threat environments with Actionable Intelligence for a Safer World®. Use of these products or certain features may be subject to applicable legal regulation. The user should familiarize itself with any applicable restrictions before use. These products are intended only for lawful uses by legally authorized users. Not all features may be available in all jurisdictions and not all functionalities may be available in all configurations. Unauthorized use, duplication, or modification of this document in whole or in part without the prior written consent of Cognyte is strictly prohibited. By providing this document, Cognyte is not making any representations regarding the correctness or completeness of its contents and reserves the right to alter this document at any time without notice. Features listed in this document are subject to change. Contact your Cognyte representative for current product features and specifications. 2026 Cognyte cognyte.comOne previously unidentified phone number uncovered and validated Outcome Hidden identifier uncovered In less than one hour, an analyst identified a phone number that months of manual analysis had not surfaced. New lead tied to a major drug trafficker The newly identified number connected the seized device to another device already associated with a major drug trafficker. Separate investigation linked Further analysis linked the device to a separate investigation, providing additional context for the original evidence. Finding validated against the source data Investigators confirmed the newly identified phone number against the original forensic data. The unit used NEXYTE to model and analyze forensic and case data within the context of the investigation, transforming millions of individual data points into connected, explorable intelligence. The platform enabled the unit to: Create a unified investigation model Organize data from approximately 90 devices alongside related case records and investigation documents. Resolve complex identifiers Structure phone numbers, device identifiers and associated communications as distinct entities with traceable relationships. Prioritize conflicting information Use identifier-conflict filtering to direct analysts toward inconsistencies and connections requiring further examination. Investigate relationships visually Apply Visual Link Analysis to move between identifiers, devices and investigations.