Your app runs on a device you don't control.
Secure it anyway — test the binary, harden the code, and defend it at runtime.
Most mobile banking fraud doesn't begin with a breach of the bank. It begins on the customer's phone. Protection has to travel inside the app, because nothing else out there belongs to you.
3 layers
Test · shield · defend
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Transaction blocked
Unsafe device environment detected
Signal sent to fraud engine · on-device
Tested & reported against
The gap
The system held. The phone didn't.
Indonesian banking fraud overwhelmingly exploits the customer's device and the customer's psychology — not the bank's core. Fake apps, phishing links, fake customer-service calls, and overlay screens that sit on top of a real banking app and harvest what's typed into it.
The bank wasn't breached
In most mobile fraud cases the core systems held perfectly. The customer's phone was rooted, infected, mirrored, or overlaid — and the attacker simply used the legitimate app as designed, with stolen inputs.
The perimeter ends at the app store
Once your APK or IPA ships, it runs on hardware you don't own, patch, or configure. Every protection has to travel inside the app itself, because nothing else out there is yours.
A pentest can't defend anything
Testing tells you what was wrong at a point in time. It does not stop an overlay at 2am on a customer's rooted phone six months later. Assessment and runtime defence are different jobs.
The anatomy of a mobile fraud
Nothing in that chain touches your data centre. Every control that could have broken it had to be running inside the app, on the device.
The practice
Test. Shield. Defend.
Three layers that do three different jobs. Testing finds what's wrong before release; shielding makes the app expensive to attack; defending catches the attack that happens anyway, on someone else's phone, months later.
Test
Find it before release
Static and dynamic analysis of the actual IPA/APK against OWASP MASVS — plus third-party SDK, dependency, and SBOM review to surface supply-chain exposure hidden in libraries you didn't write.
- SAST + DAST on the shipped binary
- OWASP MASVS / MASTG verification
- SDK, dependency & SBOM risk
- CI/CD security gates + Jira workflow
- Build-over-build regression comparison
Shield
Make it expensive to attack
Harden the application so reverse engineering, repackaging, and tampering stop being cheap. Obfuscation across Java, Kotlin, Objective-C, Swift, and native C/C++, with integrity enforcement at runtime.
- Code, string & control-flow obfuscation
- Anti-tampering & anti-repackaging
- Anti-debug, anti-hooking (Frida, Xposed)
- APK / Mach-O signing verification
- API structure obfuscation & encryption
Defend
Detect and respond in the wild
On-device detection that runs continuously in the background — identifying compromised environments, malicious apps, and fraud techniques in real time, and acting on them without waiting for a release.
- Root / jailbreak & emulator detection
- Overlay, screen-share & accessibility abuse
- Malware, sideload & app-cloning detection
- Network attack detection (MiTM, rogue AP)
- Device binding, attestation & telemetry
Where VAPT ends
Layer 01 overlaps with a mobile penetration test, and if that's all you need, our VAPT practice covers it. Layers 02 and 03 are not tests — they are protections that ship with the app and keep working after everyone has gone home.
What we detect
The full device threat surface.
Detection runs continuously in the background, on the device, across five families of threat — with forensic detail attached to every event.
Device compromise
- Root / jailbreak
- Privilege escalation
- OS & filesystem modification
- Unlocked bootloader
- USB debugging / developer mode
- Disabled device PIN
Runtime attack
- Frida / Xposed hooking
- Debugger attachment
- Memory tampering
- Emulator & virtual environment
- App cloning
- Code injection
Fraud technique
- Overlay attacks
- Screen sharing & mirroring
- Accessibility-service abuse
- Remote-control apps
- Session hijacking
- OTP interception
Malicious software
- Banking trojans
- Sideloaded applications
- Repackaged fake apps
- Risky app permissions
- Malicious downloads
- Supply-chain SDKs
Network attack
- Man-in-the-middle
- SSL stripping
- Forged SSL certificates
- ARP poisoning
- Rogue access points
- Insecure Wi-Fi
Detection engine
Machine-learning detection models update over the air — new techniques are covered without shipping a new version of your app.
Integration
Device risk becomes a business signal.
Protection is only worth what your teams can act on. Telemetry lands where decisions get made — the SOC, the fraud engine, and the release pipeline.
Into your SOC
Threat telemetry streams to your SIEM with forensic detail — malware hashes, package names, IP addresses, sideload source — so mobile becomes a monitored surface, not a blind spot.
Into your fraud engine
Device risk becomes a transaction signal. Your FDS can weigh 'this session is on a rooted phone with an active overlay' before it approves a transfer.
Into your pipeline
Protection runs in the build — GUI, CLI, or CI/CD — across native and hybrid stacks including Flutter, React Native, Cordova, and Xamarin.
Into your release cycle
Threat policies, block actions, and error redirects are configured per app and per environment, and changed centrally without a code change or app-store resubmission.
Non-negotiable constraints
Security that users never feel.
Protection that degrades the app gets switched off. These are contractual limits in our engagements, verified during UAT before a single customer sees the build.
<15%
Maximum increase in protected app size
No measurable
Performance degradation for the user
OTA
ML detection models update without a release
Per-app
Policy for dev, UAT, staging & production
Delivery
From assessment to 24/7 monitoring.
Six stages, aligned to your SDLC — with adversarial validation before rollout and continuous tuning after it.
Assess & scope
Risk assessment of the existing Android and iOS apps; identify critical modules — login, transactions, APIs — and map the integration roadmap to your SDLC.
Test the binary
Static and dynamic analysis against OWASP MASVS, with findings triaged, business impact stated, and remediation guidance attached to each issue.
Integrate & shield
SDK embedded into the build, hardening and detection enabled, and unit plus integration testing completed in dev and staging.
Validate under attack
UAT against live adversarial scenarios — rooted devices, hooking tools, malware injection, overlay attempts — plus a penetration test to prove the protection holds.
Pilot & roll out
Staged rollout starting with internal users, monitoring app performance and detection efficacy, then full production release to your customer base.
Monitor & tune
24/7 SOC monitoring, SDK and signature updates, periodic threat-landscape and regulatory review, and annual evaluation against new attack techniques.
The deliverable
MASVS-mapped, and actionable.
Every finding carries a clear description, the business impact, the offending code, and remediation guidance — so it can be fixed, not just filed. Exportable as PDF for auditors and JSON for your own systems.
- MASVS-mapped findings with severity & compliance context
- Code snippets and remediation guidance per issue
- SBOM & third-party SDK exposure
- Build-over-build comparison — new, fixed, regressed
- PDF and JSON via portal or API
Mobile assessment
Mobile Banking · v4.2.1
Critical
2
High
5
Medium
11
Low
8
Third-party SDK exposure
14 third-party SDKs · 3 with known CVEs · 1 transmitting device identifiers to an undeclared endpoint.
Start with the binary
Send us your APK. We'll tell you what an attacker sees.
A scoped assessment of your current build against OWASP MASVS — findings, business impact, and what protection would actually change. The fastest way to know where you stand.
For telcos & platforms
Embedded Mobile Security Engine — protection at subscriber scale.
Standalone security apps fail on adoption: users don't install them and don't maintain them. EMSE embeds the protection engine directly into an operator's or platform's own application as an API/SDK module — so the whole user base is covered without anyone downloading anything extra.
For users
Proactive vulnerability scanning, risk categorization, and clear, actionable recommendations — inside an app they already use.
For providers
A new subscription revenue line, higher customer trust, and measurably better retention.
For the market
A higher national baseline for mobile security, aligned with UU PDP and global frameworks.
Integration model
No separate install · no user friction · scales to the full subscriber base
By industry
Wherever your users are the perimeter.
Banking & digital finance
The core use case. Mobile banking, e-wallets, and digital onboarding — where fraud lands on the customer's device and the regulator still holds you accountable for the channel.
Telecommunications
Protection at subscriber scale through the Embedded Mobile Security Engine — security delivered inside the operator's own app, with no separate install for the user.
Healthcare
Patient data on personal devices, where a compromised handset is a privacy breach under UU PDP rather than a technical incident.
Government & public services
National service apps and digital identity, where a fake or repackaged app undermines public trust in the service itself.
Pairs with
The channel is one surface of many.
Build the program
Pairs well with
VAPT — Vulnerability Assessment & Penetration Testing
Test everything else — API, backend, web and infrastructure behind the app.
Red Team Operations
Prove the whole chain: mobile foothold to core banking, end to end.
Managed SOC
The 24/7 team that watches the mobile threat telemetry you're now collecting.
Security Awareness & Phishing Simulation
Fraud starts with social engineering — train the humans on both sides.
FAQ
Straight answers on mobile security
What security, fraud, and mobile engineering leads ask before committing to an integration.
A mobile pentest is one layer of this — the Test layer. It tells you what's wrong in the binary at a point in time, and it's genuinely valuable. But it cannot stop an overlay attack on a customer's rooted phone four months after release. Shield and Defend are protections that ship inside the app and keep working in the wild: hardening that makes reverse engineering expensive, and runtime detection that spots a compromised device or a fraud technique while the session is happening. If you only want the assessment, that's covered under our VAPT practice. If you need the app to defend itself in production, that's this service.
The device isn't yours. The risk still is.
Start with an assessment of your current build, or scope a full test–shield–defend integration with monitoring. Either way you'll know exactly what your customers are exposed to.