Originally using a homebrew combination of Splunk and AWS WAF, DoorDash staff found that AWS WAF required significant rules maintenance as their customer traffic scaled.
DoorDash is a last-mile logistics platform that connects customers with their favorite local and national businesses in more than 1,200 cities across the United States and Canada. Experiencing rapid growth with accompanying high traffic volumes, their security team tried a homebrew combination of Splunk and AWS WAF as a means to block attacks while allowing legitimate traffic through.
When their staff realized that AWS WAF would require significant rules maintenance as customer traffic scaled, they decided to switch. Signal Sciences deployed in minutes, and offered superior visibility, detection and blocking capabilities with no false positives. DoorDash now fortifies their security posture with Power Rules to block bots, business logic attacks using signals that include the traffic source, and APIs to integrate with custom tooling.Read Full Case Study