Manufacturing
But Where Are You Going to Run All of Those Tests?
Something interesting is happening in QA teams right now. AI agents and MCP-powered tools are letting testers author automation faster than ever before. What used to take a week of scripting can be roughed out in an afternoon. Test coverage that once felt aspirational is suddenly within reach. It’s genuinely exciting. And it’s quietly creating…
Fight Fire with Fire: Using AI to Fight AI
App attacks surged to 83% in January 2025, up from 65% just a year earlier. That number alone should give any security team pause — but the more important question is why the curve is bending so sharply upward. The answer isn’t that there are suddenly more attackers. It’s that each attacker is more capable than they were before, and the…
Virtual vs Real Devices: What Actually Matters in Mobile Testing
If you’ve spent any time testing mobile apps, you already know the checklist never really ends: Does the app work? Is it fast enough? Does it behave consistently across devices, screen sizes, OS versions? Does it meet accessibility standards? Is it secure? Does it feel right to the user? And somewhere along the way, you…
iOS Test Recorder: A Faster Way to Turn Validation into Automation
We listened to your feedback. The iOS Test Recorder is now available. With Digital.ai Testing 26.1 Release, we’re introducing iOS Test Recorder, a practical way to capture real user interactions on iOS devices and convert them into reusable automation steps. In most mobile teams, validation comes first. A feature is built. Someone runs through the…
What Bad Guys 2 Taught Me About Information Asymmetry and the Application Security Problem Nobody Wants to Name
01 They Were Students of Your Work There is a line in Bad Guys 2 that should stop every security practitioner cold. When the Bad Girls first reveal themselves — Kitty Kat, Pigtail Petrova, and Doom — they don’t come swaggering in with superior firepower or better technology. They come in as admirers. Fans. “Students…
Start Testing Samsung Galaxy S26 Series Today with Digital.ai Testing
Samsung has officially introduced the Galaxy S26 series, continuing its lineup of flagship Android devices used by millions of people worldwide. With every new device generation, organizations releasing applications must ensure they continue to perform reliably across the devices their users adopt. Digital.ai Testing now supports the Samsung Galaxy S26 series on real devices, enabling development and QA teams…
Android 17 Beta Support Now Available with Digital.ai Testing
As we move closer to the anticipated release of Android 17 — codenamed Cinnamon Bun — Google has begun rolling out Beta versions for developers and testers. These early builds give organizations a valuable opportunity to validate how their mobile applications behave on the next generation of Android. Digital.ai Testing now supports Android 17 Beta 1 and Beta 2 on real Android devices, available across both SaaS and On-Premises deployments. This enables teams to begin…
Accelerating Test Creation using LLMs
Manual Testing Bottleneck Over the past couple of decades, software testing has gone through a pretty significant evolution. Not too long ago, most testing was completely manual. A single release cycle could take anywhere from a week to a month—and in some cases even longer—just to validate an application before it went out the door….
When the Attacker Is the Client: Defending Against MitM Attacks
Imagine you’ve built a secure mobile app. Your connections are encrypted, your infrastructure is hardened, and your team sleeps well at night. Then a security researcher shows up with a rooted Android phone, a free proxy tool, and your entire API traffic laid out in plain text. This is the man-in-the-middle (MitM) problem and it’s…
Understanding GitOps & Its Role Across Enterprises
GitOps defined: desired state and continuous reconciliation GitOps is a control-system approach to continuous delivery where Git is used as the system of record for the desired state of environments, and automation continuously reconciles what is running until it matches what the repository declares. This is different from “deploy from Git”. The defining characteristic is…