Enterprises with insider threat mitigation programs often focus primarily on detecting and responding to malicious actors. At best, they may subdivide their threats into either malicious or negligent personas. These
Employee fraud and abuse cost companies roughly 5% of their annual revenues on average, but small companies suffer disproportionately higher losses due to their trusting cultures and the relatively broad
Two Haystax data scientists are headed to the Massachusetts Institute of Technology (MIT) in Boston to deliver a poster-style presentation at the first-ever International Conference on Probabilistic Programming, which runs
Organizations with established insider threat detection programs often deploy security solutions that are optimized to perform network log monitoring and aggregation, which makes sense given that these systems excel at
Enterprise security teams responsible for preventing insider threats have mixed feelings about acquiring and analyzing data on individuals. Sure, that data contains a wealth of knowledge about the potential for
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.