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Stop Separating Mobile App Security from Performance

Michael Olechna
Guardsquare

There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out.

Image
Guardsquare

 

Mobile app security's undeserved reputation as a secondary concern stems from several factors. For one, it has a stigma of being difficult to implement. After all, mobile developers specialize in building fast, reliable applications, while security engineering is an entirely separate discipline requiring specialized expertise. This "security skills gap" makes mobile app security inaccessible for many development teams. It also presents additional challenges when scaling mobile app development.

As an app scales, mobile development teams introduce greater complexity and functionality. This often happens through the popular and accessible scaling method of adding third-party SDK libraries. But more risk is being introduced to the application by importing these libraries. While these libraries help accelerate development, they also introduce risk, making mobile app protection even more critical.

At this point, mobile app security can no longer be ignored. A DIY approach may seem like a viable option, as it allows teams to tailor security measures to their needs without inflating app size. Open-source tools exist to help optimize the size of the app, but they require experienced security engineers to implement sufficient protections. Developers without security expertise will have difficulty implementing effective protections, leaving the scalability problem unresolved. This means teams are still forced to compromise between performance, security, and UX.

Weaving in multiple layers of code-hardening and obfuscation techniques at the code level provides the robust protection that DIY solutions cannot.

So, what's the best approach?

The answer is to stop thinking about security and performance as separate concerns.

Security and Mobile App Development Should Go Hand in Hand

A winning mobile app security strategy integrates security throughout the development lifecycle. Security must be a consideration at every stage — from writing the code to testing its effectiveness to monitoring threats in real time post-release.

When building your application, efficiency is key to a timely release. But it is also critical to write efficient, secure code. For example, Android apps need to optimize their Java code and resources. Secure coding practices inherently improve efficiency. Removing logging code, eliminating dead code, and code shrinking are examples of a few efficient coding practices that also increase mobile application security. Merging classes and method inlining are other secure coding practices that help shrink the overall size of a mobile application. Mobile apps can apply this to resources in the code as well. Resource shrinking and obfuscation will reduce application size and improve security.

These techniques not only have the potential to reduce application size but also enhance security. With the proper tools, mobile apps can shrink in size by as much as 70% and increase speed by 20%. Incorporating these practices will create an efficient, high performing application that is well protected against malicious threats.

Post-Release - Continuous Threat Monitoring

After publishing your app, continuous threat monitoring will provide ongoing insights and protection by identifying threats to your app in real-time. Security teams monitoring your mobile application receive metadata like app builds, device type, and geographic location with each threat, along with details about each detected threat. Sharing this data with security and development teams gives them the data they need to build proactive protections against new and evolving threats, while helping to mitigate future risks.

Developers and security experts are both essential to building and executing this strategy together. By embedding security into the development process, you can create a high-performing, secure, and scalable app without compromise.

Stop compromising between app performance, user experience, and security. Deliver a superior user experience and a high performing application by incorporating security into your development process. 

Michael Olechna is Product Marketing Manager at Guardsquare

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Stop Separating Mobile App Security from Performance

Michael Olechna
Guardsquare

There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out.

Image
Guardsquare

 

Mobile app security's undeserved reputation as a secondary concern stems from several factors. For one, it has a stigma of being difficult to implement. After all, mobile developers specialize in building fast, reliable applications, while security engineering is an entirely separate discipline requiring specialized expertise. This "security skills gap" makes mobile app security inaccessible for many development teams. It also presents additional challenges when scaling mobile app development.

As an app scales, mobile development teams introduce greater complexity and functionality. This often happens through the popular and accessible scaling method of adding third-party SDK libraries. But more risk is being introduced to the application by importing these libraries. While these libraries help accelerate development, they also introduce risk, making mobile app protection even more critical.

At this point, mobile app security can no longer be ignored. A DIY approach may seem like a viable option, as it allows teams to tailor security measures to their needs without inflating app size. Open-source tools exist to help optimize the size of the app, but they require experienced security engineers to implement sufficient protections. Developers without security expertise will have difficulty implementing effective protections, leaving the scalability problem unresolved. This means teams are still forced to compromise between performance, security, and UX.

Weaving in multiple layers of code-hardening and obfuscation techniques at the code level provides the robust protection that DIY solutions cannot.

So, what's the best approach?

The answer is to stop thinking about security and performance as separate concerns.

Security and Mobile App Development Should Go Hand in Hand

A winning mobile app security strategy integrates security throughout the development lifecycle. Security must be a consideration at every stage — from writing the code to testing its effectiveness to monitoring threats in real time post-release.

When building your application, efficiency is key to a timely release. But it is also critical to write efficient, secure code. For example, Android apps need to optimize their Java code and resources. Secure coding practices inherently improve efficiency. Removing logging code, eliminating dead code, and code shrinking are examples of a few efficient coding practices that also increase mobile application security. Merging classes and method inlining are other secure coding practices that help shrink the overall size of a mobile application. Mobile apps can apply this to resources in the code as well. Resource shrinking and obfuscation will reduce application size and improve security.

These techniques not only have the potential to reduce application size but also enhance security. With the proper tools, mobile apps can shrink in size by as much as 70% and increase speed by 20%. Incorporating these practices will create an efficient, high performing application that is well protected against malicious threats.

Post-Release - Continuous Threat Monitoring

After publishing your app, continuous threat monitoring will provide ongoing insights and protection by identifying threats to your app in real-time. Security teams monitoring your mobile application receive metadata like app builds, device type, and geographic location with each threat, along with details about each detected threat. Sharing this data with security and development teams gives them the data they need to build proactive protections against new and evolving threats, while helping to mitigate future risks.

Developers and security experts are both essential to building and executing this strategy together. By embedding security into the development process, you can create a high-performing, secure, and scalable app without compromise.

Stop compromising between app performance, user experience, and security. Deliver a superior user experience and a high performing application by incorporating security into your development process. 

Michael Olechna is Product Marketing Manager at Guardsquare

Hot Topics

The Latest

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

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For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...