machine learning

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…

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…

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…

Enterprises are increasingly turning to user behavior analytics (UBA) for an array of security missions, as they confront ever-more sophisticated external threats and the possibility that even their most trusted…

Insider Threat, Security Analytics

Few things in life can be expressed in black and white terms. Sure, a light switch is either on or it’s off; one baseball team wins the World Series each…

Can organizations identify insider threats or high-risk individuals using network data alone? Consider that many security software solutions today are optimized to perform network log monitoring and aggregation. They excel…

Security analytics

Bayesian modeling, machine learning and rules-based systems are often cited as three of the most useful technologies for security analytics applications. The problem is that they are often poorly implemented,…

Security analytics

Will artificial intelligence (AI) help or hurt the cybersecurity job market? Tech journalist Maria Korolov explores this and other AI issues in a recent article in Network World and cites…

Machine learning has revolutionized our world. It powers our smart phones, determines which advertisements we view and soon it will dominate the automobile industry through self-driving cars. Even Google now…