News

System would monitor feds for signs they're 'breaking bad'

Researchers backed by DARPA (the Defense Advanced Research Projects Agency) are developing a system than could scan up to 250 million text messages, e-mail messages and file transfers a day in search of anomalies that could help identify insider threats or employees who might be about to “break bad.”

The system, dubbed PRODIGAL, for Proactive Discovery of Insider Threats Using Graph Analysis and Learning, will combine graph processing, anomaly detection and relational machine learning on a massive scale to create a prototype Anomaly Detection at Multiple Scales (ADAMS) system, according to a release from the Georgia Institute of Technology, which is working with four other organizations on the project.

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