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
Overcoming Objections to Bayesian Networks – Part 1
In an earlier blog post we discussed the advantages of using Bayesian Networks as a representation for reasoning in complex problem domains. Despite these advantages, there are many who argue
Haystax CEO: Effective Security Analytics for Insider Threat Prevention
Organizations attempting to implement a world-class insider threat program must ensure their focus is on prevention rather than detection, writes Haystax Technology CEO Bryan Ware in his most recent Security
A Security Analytics Approach That Does Work
So far in this series, we’ve reviewed some of the more widely deployed solutions for security analytics, and explained how and why they fail most of the time. In this
Network World: Haystax CEO Bryan Ware On Managing Insider Threats
Haystax Technology CEO Bryan Ware, a regular contributor to Network World, recently published his insights into lessons learned from the front lines of managing risk from insider threats risk management.
Three Weaknesses of Rules-Based Systems
Rules-based systems use ‘if-then’ rules to derive actions. For example, a fact that ‘Sally is 22 and unemployed’ is matched to a rule that ‘If a person is between 18
Machine Learning vs. Model-First Approaches to Analytics
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
Making Bayesian Networks Accessible
Bayesian Networks are among the more sophisticated capabilities applied to security analytics, relying as they do on decision science and statistics rather than software engineering expertise. But in many implementations
