Continuous mobile defence validation

Independent proof that your mobile defences actually work.

Continuously test whether your RASP, anti-tampering and runtime protections detect, block and report real attack techniques across physical Android and iOS devices.

  • Vendor-neutral
  • Real devices
  • CI/CD ready
  • Evidence for every result

Resilience Overview

Illustrative product preview

Build 2.4.1 (45)

Last tested: 10:30 AM

Overall resilience

82/ 100Good

Critical findings

3+1 since last build

Tests executed

12824 added this build

Builds monitored

12This release cycle

Resilience trend

Last 10 protected builds

Resilience trend over the last 10 protected buildsLine chart showing a modest upward trend in resilience score with one regression at build 7, recovering to 82 at build 10.

Top risk areas

  • Runtime instrumentationHigh
  • Root / jailbreak bypassHigh
  • Code tamperingMedium
  • Overlay attackMedium
  • Screen captureLow

Policy compliance

87%

87% of expected controls enforced as configured

The validation gap

Protection installed does not mean protection proven.

RASP and app shielding can add root detection, anti-debugging, anti-tampering, runtime integrity checks and fraud controls to a mobile application. But teams still need independent evidence that those controls respond correctly when an attacker targets a real application flow.

What conventional verification tells you

  • A protection feature was included in the build.
  • The protected application launches.
  • A basic configuration check passes.
  • The vendor reports that the feature is enabled.

What Resilience Assurance proves

  • The control detects the intended attack.
  • The application enforces the expected response.
  • The event reaches the required telemetry destination.
  • Protected functionality cannot continue silently.
  • The result remains consistent after the next release.

How it works

Validate. Attack. Verify. Assure.

Define what each protection is expected to do. appaudix™ executes the attack, observes the application and verifies the complete response.

  1. Define

    Define expected controls

    Specify which attacks should be detected, blocked, restricted or reported for the protected build.

  2. Attack

    Run real attack scenarios

    Execute repeatable instrumentation, tampering, interception and device-compromise scenarios on real Android and iOS hardware.

  3. Verify

    Verify the complete response

    Confirm detection, enforcement, application behaviour and backend telemetry against the declared policy.

  4. Assure

    Track resilience over time

    Compare releases, identify regressions and prevent weakened protection from progressing through the delivery pipeline.

Attack coverage

Real attacks. Real devices. Reproducible evidence.

Resilience Assurance tests whether mobile defences survive the techniques used to inspect, modify, automate and control protected applications.

Runtime instrumentation

Frida injection, method hooks, runtime manipulation

Root and jailbreak bypass

Magisk, root hiding, jailbreak environments and integrity bypasses

Debugging and hooking

Debugger attachment, function interception and execution tracing

Code tampering

Repackaging, patching, re-signing and modified application binaries

Certificate-pinning bypass

Traffic interception, custom trust injection and manipulated certificate validation

Overlay attacks

Tapjacking, deceptive windows and UI redress

Accessibility abuse

Malicious accessibility services, automated interaction and transaction manipulation

Screen capture and sharing

Screenshots, screen recording, casting and remote display

Emulator and virtualisation detection

Emulated devices, virtualised environments and cloned application sessions

Telemetry validation

Detection-event delivery, event payload accuracy and backend receipt

Example validation result

One attack. Full evidence trail.

A representative Frida instrumentation scenario showing how each result records execution, expected behaviour and the observed response.

Attack in progress

live

Scenario: Frida instrumentation

Device: Physical Android device / Rooted test environment

  1. 1

    Injection initiated

    Frida server attached to target process

  2. 2

    Instrumentation attached

    Runtime hooks injected into protected class

  3. 3

    Protected flow opened

    Application entered authenticated workflow

  4. 4

    Application response observed

    No detection event raised

  5. 5

    Evidence collected

    Trace, screenshot and event timeline captured

Validation result

Bypassed
Attack
Frida instrumentation
Expected result
The application detects runtime instrumentation and prevents access to protected functionality.
Actual result
Instrumentation remained active and the application continued into the protected workflow.
Impact
An attacker may inspect or modify runtime behaviour after the protection should have intervened.
runtime trace
application screenshot
event timeline

Result statuses

Evidence, not assumptions

Every conclusion includes the proof behind it.

Each result records the attack conditions, expected behaviour, observed response and supporting artefacts required for remediation, audit and release decisions.

  • Screenshots, logs and runtime traces
  • Expected-versus-actual control behaviour
  • Reproduction steps
  • Device and operating-system context
  • Backend telemetry confirmation
  • Release-to-release comparison
  • OWASP MASVS-RESILIENCE mapping
  • Exportable evidence for security review
  • Human review for critical or ambiguous bypasses

appaudix™

Resilience Assurance Report

Illustrative report
Application
Example Mobile
Platform
Android
Build
2.4.1 (45)
Tests executed
128
Controls passed
105
Controls failed
20
Inconclusive
3
Overall resilience score
82

Top findings

  • Runtime instrumentationBypassed
  • Root detectionBypassed
  • Overlay attackDetected, not enforced
  • Screen capturePrevented

Continuous assurance

Catch weakened protection before the release reaches customers.

Security controls can change when application code, operating systems, shielding policies, SDKs and build processes change. Resilience Assurance compares every tested release against the approved baseline.

  1. 2.3.8

    Passed

  2. 2.3.9

    Passed

  3. 2.4.0

    Regression detected

  4. 2.4.0 (41)

    Fix verified

  5. 2.4.1

    Passed with warning

Build-to-build comparison

See exactly which protections improved, regressed or changed between releases.

CI/CD security gate

Fail or warn a pipeline when a required protection is bypassed or no longer reports correctly.

Policy drift detection

Identify differences between the approved protection policy and the behaviour observed in the tested build.

Technology labels

APICLIplannedGitHub ActionsCI/CD webhookplannedJSON reportPDF report

Built for high-risk mobile applications

For teams that cannot treat runtime protection as a checkbox.

Banking and payments

Verify that runtime protections continue to defend authentication, account access, payment and transaction workflows.

Fintech and digital wallets

Test resilience against instrumentation, modified clients, overlay attacks, accessibility abuse and compromised devices.

Mobile application security teams

Turn a protection policy into repeatable evidence that can be reviewed after every release.

Security consultancies and partners

Deliver independent mobile resilience assessments without building and maintaining a dedicated device and attack lab.

Frequently asked questions

Common questions about Resilience Assurance

Prove your mobile defences still work.

Bring a protected Android or iOS build and the controls you expect it to enforce. appaudix™ will show how those protections respond under attack.

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