The Hotels Network’s technology platform has been built on a premise that travelers expect simple yet personalized booking experience. It powers 12,000 hotel websites globally with a personalized experience for each site visitor. Processing personal data in a compliant and secure manner has always been a priority for The Hotels Network.
The key challenge for their CTO, Jordi, is how they track personal data assets across their entire infrastructure and uncover vulnerabilities and potential violations of internal policies and privacy regulations. Jordi’s team has traditionally had well established procedures for handling personal data, with a strong emphasis on accountability and security. However, Jordi needed tools to ensure that these procedures are always complied with.
With a microservice based infrastructure, tackling this challenge manually or relying on data-at-rest scanners wasn’t an option for Jordi. He was looking for a technology that could give him a dynamic, real-time picture of data-in-motion to detect and remediate any possible privacy risks. By using a combination of regular expressions and machine learning, Soveren’s solution identifies and classifies personal data in The Hotels Network’s data flows in an automated and continuous manner.
With Soveren, Jordi now enjoys precise and up-to-date visibility into internal personal data flows and outbound transfers.
Jordi can now easily compare the actual data flows and usage with his team’s procedures and baseline.
Soveren alerts Jordi about any potential violations, flags any deviations and anomalous data flows, and provides actionable insights for quick remediation.
The Hotels Network deployed Soveren’s proxy gateway in its K8s cluster in their AWS infrastructure. The company’s platform consists of over 10 microservices and over 1,000 API endpoints, all now monitored by Soveren.
Jordi has gained full confidence that personal data processing at The Hotels Network is compliant with internal policies, contractual obligations, and privacy laws. His team now saves dozens of hours per month with Soveren’s automated data monitoring and remediates issues faster with detailed insights into API endpoints, services, and data users.
