Case Study: Telnyx reduces sensitive data sprawl with Nightfall

How Telnyx stops sensitive data sprawl and supplements their robust security posture

Telnyx, a communication technology company, faced significant challenges with sensitive data sprawl across its SaaS applications like Slack, Jira, and GitHub. As a remote-first company, these platforms were central to operations but also led to the widespread sharing of PII, PCI, and secrets, creating security risks and compliance concerns. They needed a robust data loss prevention (DLP) tool to gain visibility and stop this sprawl without overburdening their security team with false positives.

Nightfall addressed these challenges by providing expanded visibility into Telnyx's tech stack with its AI-powered detection and native integrations. The solution automated the detection and remediation of sensitive data, significantly reducing false positives and sending real-time alerts to educate employees. As a result, Nightfall streamlined Telnyx's security operations, saving hours per week on manual remediation and coaching, while strengthening the company's overall security posture.

Telnyx

Filippo Lafronza

Operations Project Manager