Finding Fingerprints of Fraud with Machine Data
Organizations and people's security hygiene can be poor, and criminals know it. Fraudulent activity costs are in the billions worldwide across industries, and over 16 million consumers in the US were victims of identity theft or fraud in 2016. Learning to analyze data at the speed of the business will ensure your fraud and security teams can detect and investigate data to quickly find anomalies and reduce loss of resources, reputation and organizational efficiencies.
In this session we will discuss:
- How to recognize and approach fraudulent activities in your environment;
- How to get started detecting fraudulent patterns and securing your infrastructure;
- How to use machine data, machine learning and analytics-driven security platform to help you onboard new data at the speed of the business to ensure that your fraud and security teams can detect and investigate quickly.