Pilot Program to Monitor Clearance Holder Online User Activity
The Department of Defense (DoD) is rolling out a new pilot program that will monitor current DoD security clearance holder online activity and pair that data up with other known data points in order to develop algorithms that determine normal patterns of user behavior. This consolidated data will then enable the program to detect anomalies or unusual behavior and flag certain information for follow-up. This effort is another part of the Office of the Director of National Intelligence (ODNI) requirements for the Trusted Workforce 2.0. project.
Here is an example of how this may work. John Smith holds a Secret clearance with the Army and is enrolled in this pilot program. The information from SF-86 application he submitted for his clearance is uploaded into the algorithm. Other parts of current Continuous Evaluation monitoring efforts are added in (e.g., arrest, court, and financial records, counterintelligence data, travel records). Then, the John’s online activity is monitored for a period of time to establish a normal baseline. Once all of this data is collected and the algorithm is updated, the program can now monitor him and predict potential changes in stress that may be related to life events, potential insider threat intentions, or other behaviors of concern.
This, in turn, will help managers detect changes in mood, outlook, or behavior and engage in conversation with the employee before punishment becomes necessary, and before the employee starts to hate where they work or what they’re doing. The results of the pilot are scheduled for release in the fall and I am sure it will generate lots of interest from both government agencies and private companies.