FireEye, the intelligence-led security company, selected Cloudera to build their new analytics platform that radically reduces the time it takes for threat hunters to detect attack campaigns, zero-day malware and advanced persistent threats (APTs.) The new analytics platform applies machine learning and artificial intelligence (AI) across 25 terabytes of data and is growing at a rate of approximately 25 to 30 gigabytes per day. With the new platform, FireEye has reduced the amount of time required to collect and analyze up to two years worth of data from multiple, disparate sources from several days to only one hour.
Serving nearly 6000 customers across 67 countries, FireEye helps organizations better prepare for, prevent and respond to cyberattacks. With cybercriminals continually launching new campaigns and threat intelligence growing dramatically in volume, FireEye needed to implement its new platform quickly. Because Cloudera was new to the team, training and ease of use were critical factors. In just four days, Cloudera training jumpstarted FireEye’s teams by teaching them best practices that allowed them to meet aggressive implementation goals.
To learn more about how FireEye is applying machine learning to identify new attacks and malicious campaigns with Cloudera, read their success story.