Published build drift
Track what is actually live in stores, then compare it against the release you meant to ship.
Version, package, certificate, SDK, and endpoint changes get reviewed as shipped-app risk, not just build pipeline noise.
Continuous mobile exposure monitoring, proved on real devices.
AppAudix does more than list possible store risk. We connect shipped-app intelligence to agentic AI pen testing, then prove what is exploitable on physical Android and iOS hardware.
Real devices
Agentic AI
Hours, not weeks
Evidence-first
Live device proof loop
Release exposure queue
Pixel 8
Android 14
Frida hooks active
physical lab
Galaxy S24
Android 14
MITM path tested
physical lab
iPhone 15 Pro
iOS 17
Jailbreak checks verified
physical lab
iPhone 13
iOS 16
Keychain probes complete
physical lab
847
attacker checks
~10m
target report
0
emulators
Exposure monitoring for teams that still need proof.
Dashboards are useful. Physical-device evidence is what gets releases fixed. AppAudix is built around that handoff.
Mirror and impersonation risk
Surface suspicious mobile packages that look like your app, then route risky binaries into deeper analysis.
Designed for teams that need to know when their brand, package name, or customer trust is being borrowed elsewhere.
Release-to-device validation
Move from "this changed" to "this is exploitable" by running the release on physical Android and iOS hardware.
AppAudix validates behavior under real runtime conditions, including network interception, hooks, storage, and device integrity checks.
From exposure signal to attacker evidence.
Competitors can tell you a mobile app exists. AppAudix is built to answer the harder question: what can an attacker actually do with it?
See the AI pentest engine1
Watch
Observe the release surface
Store versions, uploaded binaries, and suspicious app sightings become a single mobile exposure queue.
2
Attack
Let the agentic AI investigate
The agent chooses attacker checks, explores the app, hooks runtime behavior, and adapts when defenses appear.
3
Prove
Run the evidence on real devices
Findings are backed by physical-device traces, intercepted requests, screenshots, and remediation notes.
4
Ship
Give every team the right report
Executives get risk movement. Engineers get exact fixes. Release owners get pass/fail gates.
Report surfaces
One run, three audiences
Executive exposure brief
A short view of what changed, what is exploitable, and which release needs attention first.
Risk trend by releaseTop mobile exposure driversCost and delay avoided
Engineering fix pack
The exact evidence developers need without reading a 70-page consulting PDF.
Replay tracesStack frames and requestsRemediation steps
Release gate
A CI-friendly signal that keeps high-risk mobile changes from slipping into production quietly.
Critical finding blocksRetest after fixCLI and API workflow
Less waiting. Less consulting theater. More verified fixes.
The value is not another static scan. It is repeatable mobile pen testing that can run when the code changes, when the store version drifts, or when a suspicious binary appears.
Hours, not weeks
Compress retesting and release decisions into the same working day.
Lower cost per proof
Use real-device automation for repeatable checks instead of one-off consulting cycles.
Physical hardware
Avoid emulator-only blind spots in device integrity, storage, and runtime behavior.
Fix-ready evidence
Give engineers replayable traces instead of vague severity labels.