Overview
![]() |
Enhancing Mobile Healthcare App Security: A Case Study on Eko Health and Data TheoremData Theorem |
Analytics & Modeling - Machine Learning Cybersecurity & Privacy - Application Security | |
National Security & Defense Telecommunications | |
Tamper Detection Time Sensitive Networking | |
Cloud Planning, Design & Implementation Services System Integration | |
Operational Impact
Data Theorem's solution has provided Eko Health with a 'zero approach' to security issues, requiring that all customers have zero P1 security issues, App Store/Google Play blockers, and 3rd Party SDK/ OSS issues. This allows Eko to know about any showstoppers in its pre-production environment, but also knowledge about “zero-days” in the wild on production apps. Furthermore, Data Theorem’s ability to scan 3rd party SDK & Open Source libraries has allowed Eko to shed light on an attack surface that would otherwise be a blind spot. Data Theorem was the only company evaluated that also offers “Secure Code” directly to developers to help fix identified security issues. This enables Data Theorem's customers to streamline the amount of time and resources required to fix an issue, and continuously monitor, scan, and fix mobile application security - at scale - with a solution that has a negligible impact on speed and performance. | |
Quantitative Benefit
Data Theorem scans for critical (P1) security issues on a daily basis | |
Data Theorem's solution ensures security coverage 24/7/365 | |
Data Theorem's Secure Code and Auto-Remediation scripts are leveraged via various platforms, providing actionable security results | |