There is a growing trend of disturbed individuals expressing their unhappiness with elements of government or society in general by committing violent acts. In a high number of these cases, the perpetrators gave clues through social networks as to what they planned to do beforehand. While technology can identify certain key words and phrases, it has not advanced to the point of being able to quickly discern between trivial and non-trivial threats. This paper describes ongoing research into developing a tool that can assist in the prediction of terroristic behavior using data from social networks combined with personal knowledge of the individual.