PRODIGAL (proactive discovery of insider threats using graph analysis and learning) is a computer system for predicting anomalous behavior among humans, by data mining network traffic such as emails, text messages and server log entries.
[1] It is part of DARPA's Anomaly Detection at Multiple Scales (ADAMS) project.
[3] It uses graph theory, machine learning, statistical anomaly detection, and high-performance computing to scan larger sets of data more quickly than in past systems.
[3] The targets of the analysis are employees within the government or defense contracting organizations; specific examples of behavior the system is intended to detect include the actions of Nidal Malik Hasan and WikiLeaks source Chelsea Manning.
[1] The results of the analysis, the five most serious threats per day, go to agents, analysts, and operators working in counterintelligence.