Ramp collects and stores large volumes of personally identifiable information (PII) and sensitive financial data as part of its business operations. To maintain strong data protection standards, Ramp needs to prevent this information from unintentionally appearing in internal collaboration tools like Slack and Google Drive.
As Ramp scaled from 200 employees to over 1,300 and expanded its customer base, the volume of sensitive data flowing through its systems grew exponentially.
With more financial transactions, customer records, and internal communications moving across a range of platforms, Ramp faced a growing need to detect, protect, and manage sensitive information at scale. Their open information-sharing culture, which encourages collaboration without bottlenecks, made it even more critical to maintain real-time visibility and control across all internal tools in order to protect their customer data.
Data protection is at the core of Ramp’s security strategy, and their team had that in mind when they built the program from the ground up, identifying gaps and implementing solutions to strengthen Ramp’s defenses.
One of Ramp’s biggest concerns was the speed of detection and remediation. In high-velocity environments like Slack, even a few seconds of delay could expose sensitive information. The company needed a way to detect and redact sensitive information in real time, while continuously discovering and cataloging where that data lived, without creating false positives that could slow down the business.
After careful evaluation of their needs, Ramp decided they wanted a DLP platform that provided real-time detection while meeting three other critical requirements:
- Accurate classification and detection without noise:
The platform needed to reliably identify sensitive data without overwhelming the team with false positives. - Automated remediation:
Simply classifying data wasn’t enough; the solution had to automatically redact, quarantine, or alert users in real time to minimize manual work. - Low operational burden:
The solution needed to work at scale with minimal hands-on management, automatically remediating incidents and notifying users where appropriate, helping reduce security team workload without sacrificing control.
With these challenges in mind, the company was focused on evaluating detection performance, response speed, automation capabilities, and vendor partnership. After a rigorous proof of value (POV) process, Ramp selected Teleskope.
“Anyone who knows Ramp knows we build extremely fast, and we expect the same from our partners. We needed a solution provider who could build fast, stay focused, and help us protect sensitive data without slowing the business down.”
