Case Study: Betterment achieves autoscaling, low-noise application security in its CI/CD pipeline with Fastly Next-Gen WAF

A Fastly Next-Gen WAF Case Study

Preview of the Betterment Case Study

Autoscaling Production Application Security in Betterment’s CI/CD Pipeline

Betterment, an online financial advisor managing over $14 billion in assets and serving 380,000+ customers, needed to protect customer PII and financial assets across hundreds of web servers spun up daily through its CI/CD pipeline. They required a WAF that would automatically scale, accurately block attacks without signature tuning or performance impact, and keep signal-to-noise low—so they adopted Signal Sciences (now part of Fastly).

Signal Sciences was deployed via an Ansible playbook so agents install automatically in the CI/CD process, providing out-of-the-box detections, customizable Power Rules for API and ATO protection, and dashboards that surfaced vulnerabilities and unknown services. The result was automated, auto-scalable protection with no reported false positives after deployment, reduced Security and Operations workload, faster remediation of issues, and effective blocking of malicious traffic without impacting site SLAs.


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Betterment

Anson Gomes

Lead Security Engineer


Fastly Next-Gen WAF

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