Nightfall
37 Case Studies
A Nightfall Case Study
Onbe, a payment technology company, faced the challenge of protecting sensitive cardholder data and meeting complex PCI compliance requirements across its collaborative platforms like JIRA and Confluence. Without visibility into where this data was shared or stored, they lacked a way to prevent accidental exposure or prove compliance. To address this, they implemented the Nightfall AI platform for data security.
Nightfall provided continuous scanning of JIRA and Confluence, detecting and automatically remediating sensitive data with high accuracy. The solution helped Onbe protect cardholder information, educate employees on safe collaboration, and secure testing environments. Key results from using Nightfall included a less than 5% false positive rate, 45% of security issues being automatically remediated, and reducing the mean time to eliminate exposure risk to just 2.4 hours, fundamentally strengthening their compliance posture.