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Data Theorem Mobile Secure

Data Theorem Mobile Secure

Category: Mobile Security
License: Commercial
Suphi Cankurt
Suphi Cankurt
+7 Years in AppSec
Updated April 14, 2026
4 min read
Key Takeaways
  • Data Theorem protects mobile apps serving 2.8 billion+ users, with customers including Cisco Duo, Zoom, Coinbase, and eBay.
  • One of the few platforms offering unified SAST, DAST, SCA, and runtime protection specifically built for iOS and Android.
  • Analyzer Engine combines SAST, DAST, SCA, and runtime protection for iOS (Swift/Objective-C) and Android (Kotlin/Java) apps.
  • Monitors third-party SDKs and app store listings continuously, with auto-triage P1 alerts and one-click compliance reports.

Data Theorem Mobile Secure is a commercial mobile application security platform that combines SAST, DAST, SCA, and runtime protection in a single analyzer โ€” covering iOS and Android apps from source code through deployed behavior.

Data Theorem Mobile Secure workflow showing app upload, Analyzer Engine processing, and action outputs

Data Theorem protects applications serving over 2.8 billion users worldwide, including 7 of the top 10 largest banks. Unlike point tools that handle only static or dynamic analysis, Data Theorem runs all four testing types โ€” SAST, DAST, SCA, and runtime โ€” in a single pipeline.

What is Data Theorem?

Data Theorem Mobile Secure is a full-stack mobile AppSec platform built specifically for iOS and Android. Its Analyzer Engine processes mobile app binaries through static analysis, dynamic testing, app store blocker checks, third-party code analysis, and compliance review โ€” all in one pass.

You can upload apps directly, pull them from the Apple App Store or Google Play, or push binaries through CI/CD plugins and the upload API.

Findings are auto-triaged, with P1 alerts for critical issues and remediation suggestions that include secure code examples. Results come back through a web portal, a results API, or Jira/Slack integrations.

Data Theorem also scans the backend APIs that mobile apps talk to, and performs runtime behavioral analysis through its Active Protection layer.

Unlike static-only scanners, Active Protection watches real behavior: what data an app collects, how it communicates, and whether it stores sensitive information properly.

Customers include Cisco Duo, Zoom, Coinbase, and eBay. Data Theorem also holds kidSAFE certification for its Mobile Protect solution.

Key Features

FeatureDetails
Testing TypesSAST, DAST, SCA, runtime analysis
PlatformsiOS, Android
App SourcesDirect upload, App Store/Play Store, CI/CD, API
SDK AnalysisThird-party code firewall for embedded SDKs
Runtime ProtectionDevice integrity, jailbreak/root detection, hostile traffic observation
IntegrationsJenkins, Jira, Slack, CI/CD plugins, results API
ComplianceOne-click reports, kidSAFE certified
OutputWeb portal, auto-triage with P1 alerts, secure code suggestions
Analyzer Engine
Runs static analysis, dynamic testing, third-party code analysis, and compliance review on every binary. Processes apps from uploads, app stores, or CI/CD pipelines.
Third-Party SDK Firewall
Identifies and evaluates all embedded SDKs for known vulnerabilities, privacy violations, and malicious behavior. Flags risky components before they reach production.
Active Protection
Runtime defense layer with jailbreak/root detection, debugger detection, binary obfuscation, and hostile traffic telemetry. Monitors apps after deployment.

App Store Monitoring

Data Theorem can pull public apps directly from the Apple App Store and Google Play for analysis โ€” no build pipeline integration required. You can monitor published apps continuously from day one.

API Backend Scanning

Data Theorem discovers API endpoints by analyzing mobile app traffic, then tests those endpoints for authentication issues, injection vulnerabilities, and data exposure. A separate API Secure product is available for deeper API coverage.

Auto-Triage and Remediation

Findings are automatically prioritized. Critical issues trigger P1 alerts, and each finding comes with remediation guidance including secure code suggestions developers can apply directly.

Data Theorem Active Protection dashboard showing traffic monitoring and protection levels

Integrations

Data Theorem integrates with CI/CD pipelines and issue trackers to fit into existing development workflows.

DevOps & Issue Tracking
Jenkins Jenkins
Jira Jira
Slack Slack
App Store App Store
Google Play Google Play
Data Theorem mobile app security scan output showing HIGH findings in static analysis and API backend, with auto-created Jira tickets
Upload Methods
Data Theorem accepts apps through three channels: direct upload via the web portal, automatic pulling from public app stores, and programmatic submission through CI/CD plugins or the upload API.

Beyond Mobile

Data Theorem offers a broader product suite beyond Mobile Secure:

  • API Secure โ€” API discovery, security testing, and runtime protection
  • Code SAST โ€” SAST, SCA, and SBOM for source code
  • Cloud Secure โ€” Cloud-native application protection platform (CNAPP)
  • AI Governance โ€” Discovery and security for shadow AI

Organizations already using Mobile Secure can extend coverage to APIs, web apps, and cloud infrastructure without switching vendors.

Getting Started

1
Upload your app โ€” Submit your iOS or Android binary through the web portal, connect your app store listings, or integrate the upload API into your CI/CD pipeline.
2
Analyzer Engine runs โ€” Data Theorem performs static analysis, dynamic testing, third-party code analysis, and compliance review automatically.
3
Review triaged results โ€” Findings are auto-prioritized with P1 alerts for critical issues. Each finding includes remediation guidance with secure code suggestions.
4
Enable Active Protection (optional) โ€” Deploy runtime defense with jailbreak detection, binary obfuscation, and hostile traffic monitoring for deployed apps.

When to Use Data Theorem

Data Theorem is a strong fit for organizations that need to secure both their mobile apps and the APIs behind them, especially in regulated industries.

Consider Data Theorem when:

  • You need third-party SDK analysis to manage supply chain risk
  • Runtime behavior analysis matters for your security program
  • You manage both mobile apps and the APIs they connect to
  • You want continuous monitoring of published apps from the app stores
  • Privacy compliance and auto-triage are priorities
Best For
Enterprises with large mobile app portfolios that need automated analysis across code, SDKs, APIs, and runtime behavior โ€” particularly in financial services and healthcare.

The platform is not a good fit if you only need a one-time static scan or if your budget requires open-source tooling. Unlike MobSF โ€” which is free and covers basic static and dynamic analysis โ€” Data Theorem adds continuous SDK monitoring, auto-triage P1 alerts, API backend scanning, and enterprise compliance reporting out of the box.

See the full mobile security tools category for more options.

Note: Protects apps serving 2.8B+ users. Customers include Cisco Duo, Zoom, Coinbase, and eBay.

Frequently Asked Questions

What is Data Theorem?
Data Theorem Mobile Secure is a full-stack application security platform that performs static analysis, dynamic testing, SCA, and runtime protection for mobile apps. Its Analyzer Engine runs SAST, DAST, third-party code analysis, and compliance review on every build.
Is Data Theorem free or commercial?
Data Theorem is a commercial platform with enterprise licensing.
What does Data Theorem detect?
Data Theorem detects security vulnerabilities, privacy violations, compliance gaps, third-party SDK risks, and API security issues. It auto-triages findings and sends P1 alerts for critical issues.
What mobile platforms does Data Theorem support?
Data Theorem supports native iOS (Swift, Objective-C) and Android (Kotlin, Java) applications. Apps can be uploaded directly, pulled from app stores, or submitted through CI/CD integrations.