How Exposed are Your Mobile Apps to Scraping and API Abuse?

Mobile app scraping doesn’t look like traditional bot traffic and most platforms don’t realize they’re vulnerable.
This self-assessment helps you evaluate real exposure across app authenticity, API trust, automation, and AI-driven data extraction.
Most Teams Don’t Know They’re Exposed Until It’s Too Late
Many organizations believe they are protected because they use authentication, API keys, or rate limiting—yet these controls verify users, not apps.
This assessment exists to help teams objectively evaluate their mobile app and API exposure before data, revenue, or trust is lost.
A Practical Framework Built for Teams Responsible for Real Platforms
This self-assessment walks you through the most common (and most misunderstood) exposure points in modern mobile platforms, including:

App authenticity and trust boundaries
Reverse engineering and API replay risk
Automation and bot abuse resistance
Token, session, and credential reuse
Embedded secrets and key leakage
AI-driven data harvesting risk
Monitoring, detection, and response readiness
What You Will Learn
What Happen Next
From Assessment to Action
The self-assessment does not prescribe a single solution, but it helps clarify where trust breaks down and what types of controls are required to prevent scraping and abuse at the API boundary.
For teams who discover significant exposure, the next step is evaluating preventative controls such as app attestation and zero-trust mobile API access.
Get a clear, practical view of your exposure to scraping, automation, and API abuse before someone else exploits it.

