Insider Threat
Abstract
Provides an integrated capability to collect and analyze information for insider threat detection and mitigation. The system gathers, integrates, reviews, assesses, and responds to information derived from DoD Insider Threat hubs, Counterintelligence (CI), security, cybersecurity, civilian and military personnel management, workplace violence, anti-terrorism risk management, law enforcement, user activity monitoring on DoD information networks, and other sources as necessary and appropriate to support the identification, mitigation, and countering of insider threats to address current and emerging threats to DoD personnel, assets and information. The DITMAC System of Systems (DSoS) requires additional capabilities to support installation-level reporting in support of the Counter Extremist Activity Working Group (CEAWG) requirements in implementing the Prevention, Assistance, and Response (PAR) program. It also requires adaptation to allow for automated data ingest which will directly support analytic efforts to focus on areas of increased risk, such as potential violent extremist. To meet these goals, additional RDTE funding requested here is essential to develop capabilities to meet emerging operational requirements. DCSA will acquire, develop, and deploy digital automation and continuous vetting capabilities (i.e. data integration, link analysis, anomaly detection, artificial intelligence, business processing, advanced analytics) to comply with NDAA sections 845 & 847 to enhance technology capabilities to expand efforts to identify, mitigate and evaluate supply chain risks, including Foreign Ownership Control or Influence (FOCI) across the classified and unclassified defense industrial base. NCCA: Conducts credibility assessment training and education, research and development, technical support, and oversight activities for federal polygraph and credibility assessment mission partners. This program is to clinically and scientifically evaluate ocular-motor deception detection capabilities and determine their performance parameters, including how accurately they are able to classify deceptive and non-deceptive individuals. These funds will support the NCCA efforts to collect EyeDetect data from one or more field locations.
Document Details
- Document Type
- Project
- Publication Date
- Oct 01, 2023
- Source ID
- 002_0305327V_7_0400_PB_2023
Related Documents
- Root: Insider Threat
- Child Accomplishment: DITMAC System of System (DSoS)
- Child Cost Item: 6884e56d43bd2c571bc0d4c87d5a42f3
- Child Cost Item: 525ca187cc27d2d8ffa882174f383ace
- Child Cost Item: b6f1ed6d104bc7de2677c7c551f5d51f