Case Study: Evernote achieves comprehensive mobile app security—closes 105 issues and removes 17 harmful libraries with Data Theorem

Securing the Mobile and API Connected Work Space

Evernote, a global software company used by millions to capture, organize, and collaborate on information, faced the challenge of securing multiple rapidly updated mobile apps across iOS, Android and other platforms while protecting user data as a core principle. Evernote’s internal security team lacked the scale and mobile-specific tooling to keep pace, so they engaged Data Theorem (evaluating and then adopting its Scan & Secure/App Secure solution) to find mobile- and API-specific security and privacy issues before release.

Data Theorem implemented its App Secure product and Analyzer Engine in Evernote’s CI pipeline to continuously scan pre-production releases and store apps, provide dynamic run‑time analysis, and deliver secure code remediation. As a result Data Theorem helped Evernote achieve 100% app coverage, close 105 security issues, remove 17 harmful third‑party libraries, avoid 13 app-store release delays, and implement 9 app protection features — all before public release, measurably strengthening Evernote’s mobile security posture.

Evernote

Rich Tener

Head of Security