2_use_case_name: Mobile Device Analytics for Investigative Data
3_agency: Department of Homeland Security
3_abr: DHS
4_bureau: ICE
8_topic_area: Law & Justice
10_commercial_ai: None of the above.
11_purpose_benefits: Mobile device analytics capabilities were developed to meet the growing need for investigators to quickly and effectively review and analyze the massive amounts of data extracted from mobile devices obtained in court-ordered seizures through a warrant or other investigative due process. The solution empowers investigators and analysts to identify and extract critical evidence, relationships, and networks from mobile device data, leveraging machine learning capabilities to determine locations of interest. Present capabilities are limited to the use of an algorithm for clustering of geo-location data, allowing investigators to identify 'stops' and 'overlaps' of locations from lawfully seized phones, where a 'stop' is a location a phone may have remained for a period of time and an 'overlap' is a location where multiple phones may have visited. By streamlining the analysis process, these capabilities aim to enhance the efficacy of HSI agents and analysts by providing advanced data processing to identify the most relevant information for lead generation in a shorter amount of time than manually processing, ultimately contributing to the disruption and dismantling of criminal networks and the protection of national security.
12_outputs: Present capabilities are limited to the use of an algorithm for clustering of geo-location data, allowing investigators to identify 'stops' and 'overlaps' of locations from lawfully seized phones, where a 'stop' is a location a phone may have remained for a period of time and an 'overlap' is a location where multiple phones may have visited.
16_dev_stage: Operation and Maintenance
17_impact_type: Neither
18_date_initiated: 6/1/2019
19_date_acq_dev_began: 10/15/2021
20_date_implemented: 9/1/2022
22_dev_method: Developed with contracting resources.
23_contract_piids: 70OCTD22FR00000002, 70OCTD22FR00000235, 70OCTD22FR00000009
24_hisp_support: No
27_public_info: No
29_contains_pii: Yes
30_saop_review: Yes
31_data_catalog: Yes
33_agency_data: Lawfully obtained mobile device extraction data, including location data.
34_data_docs: Documentation has been partially completed: Some documentation exists (detailing the composition and any statistical bias or measurement skew for training and evaluation purposes), but documentation took place within this use case’s development.
37_custom_code: Yes
38_code_access: Yes – agency has access to source code, but it is not public.
40_has_ato: Yes
41_system_name: Repository for Analytics in a Virtualized Environment
42_dev_tools_wait: Less than 6 months
43_infra_provisioned: Yes
45_compute_request: Yes
47_timely_resources: Yes
49_existing_reuse: None: This use case does not re-use any internally developed tooling or managed infrastructure from any other AI development efforts within the agency.
50_internal_review: Limited documentation for review: Some information regarding the model’s performance on specific benchmarks are available or have been shared with specific stakeholders within the agency.