This post provides a few details about synthetic identity fraud and S.B. 2155, including what businesses should expect when it comes to the rollout of the law.
Application fraud is sophisticated and legacy systems are unable to combat it. DataVisor’s Unsupervised Machine Learning identifies hidden attack patterns.
With Supervised ML becoming increasingly commoditized, businesses are often left with various components rather than a solution that provides real value.
Last week, DataVisor attended Money20/20 Las Vegas, the latest financial and payment technology conference of the year. Here are the top three takeaways from the event for fraud and risk teams.
Are you ready to tackle new forms of financial fraud attacks? Online banking and digital wallets have opened up a floodgate of new attack vectors for fraudsters to develop newer and never before seen threats that are fast evolving and massive in scale.
We’ve developed a guide that talks about how to address the weaknesses in today’s machine learning systems using an unsupervised machine learning approach.