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12 Tips To Secure Your Mobile Application

Cyber attacks and data theft have become so common these days especially when it comes to mobile applications. As a result, mobile apps that experience security breaches may suffer financial losses. With many hackers eyeing to steal customer data, securing these applications has become the number one priority for organizations and a serious challenge for developers. According to Gartner’s recent research, Hype Cycle for Application Security, investment in application security will increase by more than two-fold over the next few years, from $6 billion this year to $13.7 billion by 2026. Further, the report stated, “Application security is now top-of-mind for developers and security professionals, and the emphasis is now turning to apps hosted in public clouds,” It is crucial to get the fundamental components of DevOps security correct. Here are the 12 tips to secure your mobile application: 

1. Install apps from trusted sources:

It’s common to have Android applications republished on alternate markets or their APKs & IPAs made available for download. Both APK and IPA may be downloaded and installed from a variety of places, including websites, cloud services, drives, social media, and social networking. Only the Play Store and the App Store should be allowed to install trustworthy APK and IPA files. To prevent utilizing these apps, we should have a source check detection (Play Store or App Store) upon app start.

Also read, https://andresand.medium.com/add-method-to-check-which-app-store-the-android-app-is-installed-from-or-if-its-sideloaded-c9f450a3d069

2. Root Detection:

Android: An attacker could launch a mobile application on a rooted device and access the local memory or call specific activities or intents to perform malicious activities in the application. 

iOS: Applications on a jailbroken device run as root outside of the iOS sandbox. This can allow applications to access sensitive data stored in other apps or install malicious software negating sandboxing functionality. 

More on Root Detection- https://owasp.org/www-project-mobile-top-10/2016-risks/m8-code-tampering

3. Data Storing:

Developers use Shared Preferences & User Defaults to store key-value pairs like tokens, mobile numbers, email, boolean values, etc. Additionally, while creating apps, developers prefer SQLite databases for structured data. It is recommended to store any data in the format of encryption so that it is difficult to extract the information by hackers.

4. Secure Secret Keys:

API keys, passwords, and tokens shouldn’t be hardcoded in the code. It is recommended to use different techniques to store these values so that hackers cannot get away quickly by tampering with the application. 

Here’s a reference link: https://guides.codepath.com/android/Storing-Secret-Keys-in-Android

5. Code Obfuscation

An attacker may decompile the APK file and extract the source code of the application. This may expose sensitive information stored in the source code of the application to the attacker which may be used to perform tailored attacks. 

It is better to obfuscate the source code to prevent all the sensitive information contained in the source code.

6. Secure Communication:

An attacker may perform malicious activities to leverage the level of attacks since all communication is happening over unencrypted channels. So always use HTTPS URLs over HTTP URLs.

7. SSL Pinning:

Certificate pinning allows mobile applications to restrict communication only to servers with a valid certificate matching the expected value (pin). Pinning ensures that no network data is compromised even if a user is tricked into installing a malicious root certificate on their mobile device. Any app that pins its certificates would thwart such phishing attempts by refusing to transmit data over a compromised connection

Please refer: 

https://owasp.org/www-community/controls/Certificate_and_Public_Key_Pinning

8. Secure API request & response data

The standard practice is to use HTTPS for the baseline protection of REST API calls. The information sent to the server or received from the server may be further encrypted with AES, etc. For example, if there are sensitive contents, you might choose to select those to encrypt so that even if the HTTPS is somehow broken or misconfigured, you have another layer of protection from your encryption.

9. Secure Mobile App Authentication:

In case an application does not assign distinct and complex session tokens after login to a user, an attacker can conduct phishing in order to lure the victim to use a custom-generated token provided by the attacker and easily bypass the login page with the captured session by using a MiTM attack.

i) Assign a distinct and complex session token to a user each time he/she logs on successfully to the application. 

ii) Terminate the session lifetime immediately after logging out. 

iii) Do not use the same session token for two or more IP addresses. 

iv) Limit the expiry time for every session token.

10.  Allow Backup 

Disallow users to back up an app if it contains sensitive data. Having access to backup files (i.e. when android:allowBackup=”true”), it is possible to modify/read the content of an app even on a non-rooted device. So it is recommended to make allow backup false. 

11. Restrict accessing android application screens from other apps

Ideally, your activities should not give any provision to the opening from other services or applications. Make it true only when you have a specific requirement to access your flutter screens from other apps otherwise change to android:exported= ”false”

12. Restrict installing packages from the android application

REQUEST_INSTALL_PACKAGES permission allows apps to install new packages on a user’s device. We are committed to preventing abuse on the Android platform and protecting users from apps that self-update using any method other than Google Play’s update mechanism or download harmful APKs.

Conclusion: 

Mobile Apps have become more personalized than ever before with heaps of customers’ personal data stored in them every day. In order to build trust and loyalty among users and prevent significant financial and credential losses for the companies, it is now crucial to make sure the application is secure for the user. Following the above-mentioned mobile app security checklists will definitely help to prevent hackers from hacking the app.

About the Author:

Raviteja Aketi is a Senior Software Engineer at Mantra Labs. He has extensive experience with B2B projects. Raviteja loves exploring new technologies, watching movies, and spending time with family and friends.

Read our latest blog: Implementing a Clean Architecture with Nest.JS

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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