For purposes of scientific discovery, the field of insider-threat detection often lacks sufficient amounts of time-series training data. Moreover, the limited data that are available are quite noisy. For instance, Greitzer
UPDATE: Haystax Technology was awarded 2nd runner-up for the Michael Dean Best Paper Award at STIDS 2014. The award recognizes innovativeness and domain thought leadership that advances the state of the
Haystax’s security analytics platform applies artificial intelligence techniques to reason like a team of analysts and prioritize risks in real time at scale for more efficient protection of critical assets.