Founded by Dean Mcdonald
Run automated penetration tests on real Android and iOS devices
Pricing model
Paid
Rating
★ People love it
Time to value
Quick Setup (< 1 hour)
You can use appaudix to run automated security penetration tests against real Android and iOS devices without needing source code. Upload an APK, AAB, or IPA file, and it runs your app on actual rooted or jailbroken hardware to find vulnerabilities like insecure storage, hardcoded secrets, weak TLS, and SSL pinning issues. It returns attacker evidence, replay traces, and specific fix guidance. You can integrate it into CI/CD pipelines to test every build automatically against frameworks like OWASP MASVS, PCI-DSS, HIPAA, and SOC 2.
What appaudix does
Pricing breakdown
Pricing model: Free tier, Paid
Tutorials & Demos
Frequently asked
Want a tailored answer?
See whether appaudix fits your stack.
Techbible weighs appaudix against what you already pay for, your team shape, and the work that's actually happening. Free to start.
Side by side
Compare appaudix
Search the catalog or pick a similar tool to compare pricing, features, and fit.
Or pick from similar tools
More in Security Testing
All tools →
Weights & Biases
Helps AI developers track and manage machine learning experiments.
AI Reliability for Production LLMs
Latitude is the reliability layer for AI products: detect failures, measure performance, and automatically improve model quality
.jpeg?alt=media&token=5711df01-1df7-4f01-9c9d-c7c17fdcf23f)
AMESA
Build and deploy AI agents to automate complex industrial processes.
.jpg?alt=media&token=a7214246-fa2c-4a14-b487-472b77e69f40)
ApiDog
Simplify API development and testing
Argos · Visual Regression for Playwright & Storybook
Ship faster with Argos visual testing for Playwright and Storybook. Catch regressions early with reliable diffs and reviews.
Bluejay
Test, monitor, and evaluate voice and chat AI agents before and after deployment
Braintrust
Monitor AI applications and evaluate model performance in production.
Cascade
Provides software infrastructure and security for AI agents, with self-improving models that prevent threats and failures at scale.