Signal Sciences Case Studies DoorDash Enhances Security with Signal Sciences for Superior Visibility and Protection

	DoorDash Enhances Security with Signal Sciences for Superior Visibility and Protection Signal Sciences

DoorDash Enhances Security with Signal Sciences for Superior Visibility and Protection

Signal Sciences

Technology Category	Functional Applications - Computerized Maintenance Management Systems (CMMS)
Applicable Industries	National Security & Defense
Applicable Functions	Maintenance
Use Cases	Traffic Monitoring Transportation Simulation
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Functional Applications - Computerized Maintenance Management Systems (CMMS)

Applicable Industries

National Security & Defense

Applicable Functions

Maintenance

Use Cases

Traffic Monitoring

Transportation Simulation

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.

About 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.

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.

Impact #1	The switch to Signal Sciences has resulted in a more robust and efficient security system for DoorDash. The solution's superior visibility, detection, and blocking capabilities have allowed the security team to better manage and secure the platform's high traffic volumes. The use of Power Rules and APIs for custom tooling integration has further enhanced DoorDash's security posture, providing a more comprehensive and effective approach to managing potential threats. This has not only improved the platform's security but also freed up the security team's time, allowing them to focus on other important tasks.

Impact #1

The switch to Signal Sciences has resulted in a more robust and efficient security system for DoorDash. The solution's superior visibility, detection, and blocking capabilities have allowed the security team to better manage and secure the platform's high traffic volumes. The use of Power Rules and APIs for custom tooling integration has further enhanced DoorDash's security posture, providing a more comprehensive and effective approach to managing potential threats. This has not only improved the platform's security but also freed up the security team's time, allowing them to focus on other important tasks.

Benefit #1	Signal Sciences was deployed in minutes, significantly reducing the time required for setup and implementation.
Benefit #2	The solution provided superior visibility, detection, and blocking capabilities with no false positives, improving the efficiency and effectiveness of DoorDash's security measures.
Benefit #3	The use of Power Rules allowed DoorDash to block bots and business logic attacks, enhancing the platform's overall security.

Benefit #1

Signal Sciences was deployed in minutes, significantly reducing the time required for setup and implementation.

Benefit #2

The solution provided superior visibility, detection, and blocking capabilities with no false positives, improving the efficiency and effectiveness of DoorDash's security measures.

Benefit #3

The use of Power Rules allowed DoorDash to block bots and business logic attacks, enhancing the platform's overall security.

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Overview

DoorDash Enhances Security with Signal Sciences for Superior Visibility and Protection

Operational Impact

Quantitative Benefit