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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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Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

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

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...