Case Study: Using UBA to Gain Better Visibility and Faster Time to Remediation
Playtech is a world leader in the online gaming industry and builds its reputation upon protecting the strict confidentiality of its customers' financial and personal data. Realizing that traditional SIEM systems and signature-based tools are not enough to mitigate sophisticated cyber attacks, Playtech invested in one of the industry's leading SIEM solutions.
However, when it came to discovering stealthy user-based threats, Playtech found that it still needed a better way to help its investigators filter out the false alarms from the real threats.
Download this case study to explore:
- How Playtech implemented advanced machine learning algorithms that complemented it's in-house security team skills
- How that resulted in better visibility of user behavior, faster resolution time, and enhanced ROI
