SmartBear announced AI enhancements for API testing, UI test automation, and test management across its product suite, the SmartBear Application Integrity Core™.
Today, native mobile developers are in high demand — and rare. Accessibility-first mobile developers are absolute unicorns. But this must change — and quickly. Look at these statistics:
■ Disability touches 73% of the general population
■ 85% use smartphones
■ 96% of Gen-Zers use mobile devices (more on this later)
The ultimate job of any developer is to increase revenue and promote company growth. Mobile apps are fast becoming critical pieces of this. Your day-to-day job, however, is designing killer apps that change individual user outcomes for the better. But, in this incredibly competitive environment, your mobile app needs to stand out to attract users and be "buzzworthy."
How? What's left to explore?
Designing apps to be usable on every smartphone, all UIs, and UI versions is expected. Now, designing those apps to be accessible for every user in every situation is the new development frontier.
Cutting-edge mobile developers reject the idea that mobile accessibility isn't a necessity. Some of the reasons why might surprise you.
■ Mobile accessibility lawsuits are trending up and this will continue. This isn't exactly news, but it will impact your future and the future of your company.
■ Accessibility actually affects the majority of your market share. If you only consider people who actually HAVE disabilities you dramatically underestimate the impact of inaccessible apps. Add in the families and communities surrounding these people and that number leaps from 25% of consumers to 73%. All these people care about accessibility because they care about their friends and family. They often make decisions on using web and mobile apps based, at least in part, on their accessibility to their loved ones. Can you afford to risk 73% of your potential audience?
■ Most importantly, the future of mobile rests in the hands of Gen-Z. This generation (the demographic cohort born between 1997 and 2012) — and likely all generations after them — see accessibility as a human right, just like other types of diversity and inclusion. They're highly connected and use their smartphones for almost everything. They have strong opinions, act on them, and share their opinions across social media. You're risking your entire future if you don't consider this group.
So how can you get ahead of this trend?
In the past, accessibility has been painful — requiring specialized expertise, slowing your development velocity, and causing tremendous rework. And, it's still unfamiliar territory for most designers and developers. No longer.
Whether new and existing native apps are built with XML or Compose, UIKit, or SwiftUI, modern accessibility testing products can test any mobile feature, any time, on any device. With CI/CD integration, mobile developers can catch issues faster, before they even reach manual testing stages. Here are three key things to look for in these products:
■ 1. Automation: Maintaining development velocity is non-negotiable, so accessibility without automation is a non-starter. Efficiently adding accessibility to your processes demands the highest level of automated testing possible. Modern tools can automate up to 57% of accessibility testing. Add semi-automated testing to that, and you can significantly reduce the length of time for manual tests down to 20% or less. That's a considerable savings in time and effort.
■ 2. Intuitive UI: It's true that accessibility has required extensive expertise in the past. Modern products reduce or even eliminate that requirement with automation that includes machine learning, built-in guidance for developers such as sample code, recommended solutions to specific issues, and links to clear remediation guidance on the specific issue you're facing built right into the UI (on-demand learning).
■ 3. High-quality, consistent rules engine: One and two above are not possible without a deep and accurate rules engine driving the testing. What's going on behind the test button is critical. Applying these rules consistently across projects ensures that everyone is working from the same playbook and producing consistent results. This clarity and consistency not only saves you time and rework, it paves the way for other developers who may join your team, making them more productive more quickly. It also smooths the dev process through CI/CD processes, QA, and ultimately, into production.
Having said all this, it's important to understand that automation alone can't solve every accessibility issue. The mobile apps being built today still require a combination of automated and manual accessibility testing to achieve full coverage. Some aspects of accessibility require a human touch. Automation "only" will result in more rework.
Creating more inclusive mobile apps can be a challenge at first, but modern accessibility testing products make the journey easier, more intuitive, and much more sustainable. Having an accessibility-first mindset is a great start. Leveraging the right tools will help you turn that mindset into killer apps. High velocity mobile accessibility is achievable today. Mobile app developers must make it a priority now, or suffer the consequences.
Industry News
JFrog announced its partnership with iZeno Pte Ltd, a Singapore-headquartered enterprise technology solutions provider.
Red Hat announced an expanded collaboration with Google Cloud to help organizations accelerate application modernization and cloud migrations.
The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the contribution of SQLMesh, an open source data transformation framework, to the Foundation by Fivetran.
Check Point® Software Technologies Ltd. released the AI Factory Security Architecture Blueprint — a comprehensive, vendor-tested reference architecture for securing private AI infrastructure from the hardware layer to the application layer.
CMD+CTRL Security won the following awards from Cyber Defense Magazine (CDM), the industry’s leading electronic information security magazine: Most Innovative Cybersecurity Training and Pioneering Secure Coding: Developer Upskilling.
Check Point® Software Technologies Ltd. announced the Check Point AI Defense Plane, a unified AI security control plane designed to help enterprises govern how AI is connected, deployed, and operated across the business.
Oracle announced the latest updates to Oracle AI Agent Studio for Fusion Applications, a complete development platform for building, connecting, and running AI automation and agentic applications.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced that Istio has launched a host of new features designed to meet the rising needs of modern, AI-driven infrastructure while reducing operational complexity.
Chainguard announced Chainguard Repository, a single Chainguard-managed experience for pulling secure-by-default open source containers, dependencies, OS packages, virtual machine images, CI/CD workflows, and agent skills that have built-in, intelligent policies to enforce enterprise security standards.
Backslash Security announced new cross-product support for agentic AI Skills within its platform, enabling organizations to discover, assess, and apply security guardrails to Skills used across AI-native software development environments.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced the graduation of Kyverno, a Kubernetes-native policy engine that enables organizations to define, manage and enforce policy-as-code across cloud native environments.
Zero Networks announced the Kubernetes Access Matrix, a real time visual map that exposes every allowed and denied rule inside Kubernetes clusters.
Apiiro announced AI Threat Modeling, a new capability within Apiiro Guardian Agent that automatically generates architecture-aware threat models to identify security and compliance risks before code exists.
GitLab released GitLab 18.10, making it easier and more affordable to use agentic AI capabilities across the entire software development lifecycle.




