Data Theorem Mobile Secure vs Ostorlab

Data Theorem Mobile Secure is a cloud application security platform for iOS and Android apps. It scans code and binaries, performs static, dynamic, and behavioral analysis on real devices for every release, and helps block runtime attacks. The Analyzer Engine is described as completing these analyses in minutes. The service can assess apps from the Apple App Store, Google Play, staging builds, and third-party stores. It reviews third-party SDK and open-source risks alongside first-party code, including reachability and licensing context. Auto-triaged findings can go to Slack, Microsoft Teams, or email, and developers receive secure code samples and remediation summaries. CI/CD plugins and REST APIs connect release pipelines; named integrations include Jira, GitHub, Jenkins, and VS Code. Supported frameworks include React Native, Flutter, Xamarin, Cordova, and Unity. Reports cover PCI DSS, HIPAA, GDPR, FedRAMP, SOC 2, and ISO 27001. Pricing is available on request.

Ostorlab provides agentic penetration testing for mobile apps, web apps, APIs, and connected source code. Its agents can work through authenticated workflows involving logins, one-time codes, and multi-factor authentication. Findings include replayable proof-of-concept exploits, and testing can trace attack paths across connected apps, APIs, back ends, and repositories. Analysis combines static, dynamic, runtime, and behavioral methods with dependency and source-repository scanning. Mobile testing supports Android, iOS, and HarmonyOS; scan inputs include Android APK, XAPK, and AAB files, non-encrypted iOS IPA files, and store or TestFlight scans. Integrations include GitHub Actions, GitLab CI, Bitbucket, Jenkins, CircleCI, Azure DevOps, Jira, ServiceNow, Slack, and SAML SSO. The free Community plan includes unlimited mobile app scans, attack-surface discovery, remediation, and ticketing. AppSec Web/API costs $299 a month billed yearly; AppSec Mobile is $599 a month billed annually. Both list 20 AI Security Credits per month. Routine workspace testing continues after credits run out, but advanced AI actions need more credits.