Critics of machine learning (ML) often point out that it can’t come close to emulating a subject-matter expert working at his or her maximum potential. Sure, ML powers our smart
Using AI to Extract High-Value Threat Intel from Data
Today’s security and risk analysts have access to oceans of raw data, thanks to a proliferation of information sources, drastically improved computing power and dirt-cheap storage. Paradoxically, though, they’re having
Haystax Technology Named Red Herring 2017 Top 100 Global Winner
Haystax Technology, a leading user behavior analytics (UBA) platform provider, has been selected as one of Red Herring’s 2017 Top 100 Global companies. This prominent award recognizes the most innovative
UBA Is Just Getting Warmed Up
Anyone who has worked long enough in the data analytics and high-tech industries will have a favorite story about some new technology that was subjected to a degree of hype
Beyond Machine Learning: Using Models in AI for Security
Some impressive people have said bearish things recently about the use of artificial intelligence (AI) in cybersecurity. A recent example is Heather Adkins, who for 15 years has been director
Haystax Technology Named 2017 SINET 16 Innovator
Haystax Technology has been named a 2017 Security Innovation Network (SINET) 16 Innovator, a designation as one of the most innovative and compelling companies in cybersecurity. Each year SINET’s Steering
CSO: Avoiding Hype Around User Behavior Analytics
User behavior analytics (UBA) is enjoying its own moment of high expectations in the security risk community. But many hot technologies and techniques before it (like fuzzy logic and Google
Six Steps Companies Can Take to Improve Insider Threat Mitigation
Companies across a wide spectrum of industries continue to wrestle with how to implement a well-designed insider threat program. The US government has provided guidelines that help but, as we’ve
