Nightfall
37 Case Studies
A Nightfall Case Study
Pomelo, a rapidly growing payment processor in Latin America, faced significant data protection challenges as it scaled. Its existing security tools generated excessive false positives and could not protect against data exfiltration via generative AI tools, creating major compliance risks for handling sensitive customer payment data. The company needed an enterprise-grade solution that could provide accurate detection across its entire SaaS ecosystem without burdening its lean security team.
Pomelo implemented Nightfall AI's data loss prevention (DLP) platform to secure its applications and endpoints. The solution provided superior detection accuracy with less than 5% false positives, proactively intercepted sensitive data before it was submitted to AI platforms, and offered automated user remediation. As a result, Pomelo gained comprehensive visibility and control over its data, significantly strengthened its PCI compliance posture, and reduced the security team's workload, all while safely enabling employee productivity.