Compliance | Resource Center

With more than 5.0 million accounts and rapidly growing, Paidy is Japan’s pioneer and leading Buy Now Pay Later (BNPL) service with the mission to spread trust through society and give people room to dream. Paidy offers instant, monthly-consolidated credit to consumers by removing hassles from payment and purchase experiences. With a user-friendly app supported by the Paidy platform, user purchases are optimized for mobile and instant-checkout. For Paidy to understand how the platform and its infrastructure are performing, logs play a key role; however, the process of managing the logs to monitor and analyze the company’s environment and platform performance was inconsistent across systems

With their enriched threat data offerings, TruSTAR places a priority on providing a high-performing platform that makes it fast and easy for customers to get the information they need. However, TruSTAR needed a unified and streamlined way to understand how well their platform was doing across their infrastructure. This includes a footprint of AWS services, including Amazon GuardDuty and Amazon Elastic Compute Cloud (Amazon EC2). The company’s engineering team lacked a rapid method to prototype and report on the typical customer-centric experience at any given moment. It was challenging to answer questions like: how long does it take a user to login, or how long does it take a user to request a certain type of data from the platform? In addition, the company needed an affordable approach to store their log data in a separate, offsite location, which was essential for the company’s SOC 2 Type 2 certification.

As part of its ongoing commitment to innovation, a leading global airline company embarked on a major initiative that—when fully completed–would entail moving hundreds of applications to the cloud. However, essential to this initiative was the need for the company’s nascent cloud platforms to first attain compliance with the highly demanding PCI Data Security Standard. Failing to achieve this milestone would endanger the company’s entire digital transformation efforts.

Among other vital responsibilities, Vaimo is tasked with safeguarding its clients eCommerce operations. This means relentlessly applying creative techniques to thwart persistent, malicious behaviors that include spam, identity deceit, and bogus user creation, all while attempting to restrict access to key infrastructure resources to a core group of authorized specialists. Concurrently, the company eagerly sought new ways to satisfy an ever-increasing set of regulatory requirements.

As part of Paf’s journey to the cloud, the company needed a data analytics solution to help consolidate tools and give them the visibility to help monitor their distributed systems as they worked to modernize its application stack into Amazon Web Services (AWS). Paf was looking for an automated solution that would support its hybrid infrastructure, correlate log and metric data and support security regulations such as GDPR.