Case Study: Paidy achieves automated Slack DLP and cost-saving data protection with Nightfall

Paidy Transforms Their DLP Workflow with Nightfall

Paidy, a Tokyo-based fintech that enables customers to pay with just a mobile number and email, faced the challenge of protecting sensitive customer and transactional data — including Slack communications — as it scaled and partnered with major platforms like Amazon. Paidy’s CISO, Felix Beatty, determined that legacy DLP and manual monitoring were insufficient, so the company turned to Nightfall, deploying Nightfall’s Enterprise Slack/Enterprise DLP solution to secure real-time communications.

Nightfall integrated via Slack’s Discovery API and was up in less than 321 seconds, immediately scanning for over 25 PII detectors and using machine learning in a three-step Discover, Classify, Protect workflow. The solution enabled manual or automated quarantining, quick customization for Japan-specific data, and eliminated hours of manual work, delivering measurable ROI “of at least several folds,” stronger breach protection, and ongoing operational support from Nightfall.

Paidy

Felix Beatty

Chief Information Security Officer