How fintech startup Amount manages data security across cloud collaboration platforms with Nightfall: Watch the story now.
Raised in funding
Paidy Transforms Their DLP Workflow with Nightfall
Raised in funding
Felix Beatty, CISO
Paidy has one of the most unique value propositions in the fintech industry: giving consumers the ability to pay at online stores using only their Japan mobile number and email address. Paidy transactions don’t require a credit card or pre-registration, signaling a massive shift in the way shoppers will be able to purchase products.
With significant funding from top investment firms, including PayPal Ventures and Goldman Sachs, the Tokyo-based startup is poised for widespread adoption across the consumer sector. Most recently, Paidy scored a huge win with a deal to provide instant post-pay credit service to Amazon customers in Japan.
Dealing with the financial transactions of millions of customers, not to mention a partnership with Amazon, meant that Paidy needed stringent safeguards against leaks of sensitive information. Felix Beatty, Paidy’s CISO, was no stranger to the importance of data loss protection. Having studied cybersecurity at the Royal Holloway, University of London (RHUL), Beatty was well aware that outdated DLP platforms and manual monitoring would be insufficient to protect Paidy’s data.
In particular, the company’s Slack channels and messages required complete, automated DLP protection. Enter Nightfall. Nightfall’s Enterprise Slack solution proved to be the perfect fit for Paidy’s needs.
“We needed a next-generation solution to optimize security around sensitive data.”
Instant deployment, rapid customization
Using Slack’s Discovery API, Nightfall integrated seamlessly into Paidy’s Slack channels. “We had our Nightfall Enterprise DLP up and running in less than 321 seconds,” remarks Beatty. Without any need for fine-tuning, Nightfall scans for over 25 detectors of personally identifiable information (PII), ranging from IP addresses to credit card numbers.
Nightfall relies on machine learning to monitor and scan Paidy’s Slack messages in real-time, using a simple three-step process—Discover, Classify, and Protect. Once the Nightfall bot finds sensitive information, Beatty and his team have the option of manually quarantining the data or using automated workflows to save time.
Beatty also appreciated that Nightfall could handle the unique challenges of Paidy’s data, such as the ability to quickly customize PII detectors specific to Japan.
A powerful partner in data loss protection
In addition to automating hours of manual activity, Nightfall has provided incredible potential cost savings to the Paidy team. “When we objectively calculate the cost of a data leak, it is not a one-time cost,” explains Beatty. “Putting aside the possibility of a business having to completely shut down, a data breach can impact a business for a decade or more. Combined with time and effort savings, the ROI of deploying Nightfall would be of at least several folds.”
Nightfall’s customer service team has also been remarkably helpful with Paidy’s day-to-day operations. “They reach out to always ensure our expectations are continuously met.”
“Without a doubt, we will continue to work with Nightfall.”
Nightfall is the industry’s first cloud-native DLP platform that discovers, classifies, and protects data via machine learning. Nightfall is designed to work with popular SaaS applications like Slack, Google Drive, GitHub, Confluence, Jira, and many more via our Developer Platform. You can schedule a demo with us below to see the Nightfall platform in action.
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