DoorDash Enhances Security with Signal Sciences for Superior Visibility and Protection
Technology Category
- Functional Applications - Computerized Maintenance Management Systems (CMMS)
Applicable Industries
- National Security & Defense
Applicable Functions
- Maintenance
Use Cases
- Traffic Monitoring
- Transportation Simulation
About The Customer
DoorDash is a last-mile logistics platform that operates in more than 1,200 cities across the United States and Canada. The platform connects customers with their favorite local and national businesses, facilitating the delivery of a wide range of products. Due to its business model, DoorDash experiences high traffic volumes and rapid growth. The company's security team is tasked with ensuring the safety and security of their platform, a task that becomes increasingly complex as the platform scales and traffic increases.
The Challenge
DoorDash, a last-mile logistics platform that connects customers with their favorite local and national businesses across the United States and Canada, was experiencing rapid growth and high traffic volumes. To manage this, their security team initially used a homebrew combination of Splunk and AWS WAF to block attacks while allowing legitimate traffic through. However, as their customer traffic scaled, the team found that AWS WAF required significant rules maintenance. This was a challenge as it was time-consuming and could potentially lead to security vulnerabilities if not managed properly. The need for a more efficient and effective solution became apparent.
The Solution
In response to the challenge, DoorDash decided to switch to Signal Sciences. This solution was deployed in minutes and offered superior visibility, detection, and blocking capabilities with no false positives. This was a significant improvement over their previous system, which required constant rules maintenance. With Signal Sciences, DoorDash was able to fortify their security posture with Power Rules to block bots and business logic attacks using signals that include the traffic source. Additionally, Signal Sciences provided APIs to integrate with custom tooling, further enhancing DoorDash's ability to manage and secure their rapidly growing traffic.
Operational Impact
Quantitative Benefit
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