A recent Simility blog post detailed how it is tracking online fraud. With the help of a SaaS-based machine learning tool, the company and its beta customers have seen a 50 to 300 percent reduction in fraudulent online transactions. This last January, they looked at 100 different behaviors across 500,000 endpoints scattered around the world. They found more than 10,000 of those devices were compromised, and then looked for patterns of similar behavior. They found seven commonalities, and some of them are surprising.
You can read my blog post on IBM’s SecurityIntelligence.com here.