01 / APPSEC, MOBILE & API TEAMS

AI mobile pentesting. At every release.

Put an AI pentester to work on your Android app, iOS app, and the APIs they use. Djini operates the app, investigates the business logic, and tests whether connected weaknesses can actually be exploited.

DJINI AI + DEVICE LAB
  1. 01
    RELEASEAndroid / iOS build + test accounts
  2. 02
    DJINI AISign in · read screens · follow the API
  3. 03
    DEVICE LABReproduce the connected attack path
  4. 04
    YOUR TEAMEvidence · remediation · repeat test

MOBILE & API PENTESTINGReal app interactionBusiness logicExploit validation

You ask Djini

“Test the new mobile release. Sign in with these test accounts, follow the payment journey, and investigate whether a user can cross an account boundary.”

What your team gets

An investigation your developers can replay, with the affected app and API behavior, reproduction steps, and evidence for a fix.

Access & scope

Mobile testing available today. Agree the backend API scope for your evaluation.

THE WORK BEHIND THE OUTCOME

Your app and its APIs make one attack surface.

Mobile releases change screens, sessions, requests, and native components together. A useful pentest follows that whole journey. Djini combines app interaction with deeper analysis, then uses a device to check the attack path.

  1. 01

    Start from a release

    Provide the app, test accounts, and the journeys that matter. Choose a virtual device or supported physical handset for the run.

  2. 02

    Let Djini operate the app

    Agents read screens, navigate the app, and exercise real user flows. They follow the mobile behavior into the API interactions and trust decisions behind it.

  3. 03

    Connect the attack path

    Investigate business-logic flaws and native code when relevant. Combine related weaknesses and test the resulting path on the device.

  4. 04

    Fix and run it again

    Give developers the reproduction and impact. Run the relevant journey after the patch and bring the same testing workflow into your pipeline.

INSIDE DJINI

Watch the pentest. See the device.

The Djini console puts the agent conversation, command execution, and running phone in the same view. Follow the test from the first interaction through to the evidence.

The Djini agentic console reproducing a finding on a connected Android test device

WHAT YOUR TEAM TAKES AWAY

A repeatable release workflow

Bring mobile security testing into delivery instead of restarting an investigation from scratch each time.

Proof of the risk

Use the observed app and API behavior to explain what an attacker could achieve.

A test for the fix

Keep the reproduction path so the team can check the change against the original behavior.

A few good questions

Before you go deeper.

Does Djini test the app or the API?

The workflow starts with Android or iOS and follows the backend interactions used by the app. Broader standalone API, web, cloud, and red-team coverage should be scoped with Djini for your deployment.

Can we trigger this from CI/CD?

Yes. Djini provides API access for pipeline-triggered scans. Decide which builds, environments, and test accounts belong in each run, and size the workflow to your subscription and device capacity.

Can we use it without source code?

Yes. Start with the app for blackbox analysis and runtime testing. Add AI SAST when you have source and want code-level review before a build.

PUT DJINI TO WORK

Make the next release a tested release.

New accounts include one blackbox AI SAST + dynamic welcome scan.

THIS WORKFLOW, IN YOUR INDUSTRY