Systems | Development | Analytics | API | Testing

Financial institutions and other heavily regulated industries can use generative AI in their testing strategy today. Read on to see the use cases.

How does GDPR impact AI innovation, and what affects might AI have on regulations like GDPR? According to McKinsey, 78% of companies now use AI in at least one area of their business as of July 2024. But this quick adoption brings challenges for organisations handling data from the European Union and the UK. The main challenge for InfoSec and other enterprise leaders is clear. Using AI effectively means being able to develop faster.

Regression testing is a software testing practice that ensures recent code changes do not negatively impact the existing functionality of an application. It involves re-running previously executed test cases to verify that new updates - such as bug fixes, enhancements, or feature additions - do not introduce defects into previously working software components. The primary goal of regression testing is to maintain software stability while allowing continuous improvements.

Manual testing gets old fast. You end up clicking through the same workflows over and over, and it’s easy to miss bugs when you’re going through dozens of test cases. Automated testing tools handle the repetitive stuff for you, running tests in the background while you work on actual development. This guide looks at some solid automated testing tools for 2025 that can help streamline your testing process.

In many enterprise organizations, particularly across public sector and regulated industries, identity and access management (IAM) are not just a best practice; it’s a mandate. From federal agencies and financial institutions to healthcare and utilities, internal IT policies often require every application to integrate with a centralized identity provider (IdP) such as Microsoft Entra ID or Okta.

In the world of modern web applications and APIs, authentication and authorization mechanisms are critical. Whether you’re building a RESTful API, working with OAuth2, or integrating third-party services, you’ve likely encountered the term "Bearer Token." But what exactly is a bearer token? How does it work? And one of the most common questions: Can you reuse a bearer token?

Go, with its simplicity and strong concurrency model, is a popular choice for building CLI tools. Cobra and Viper are two powerful libraries in Go for building command-line interfaces and managing configuration, respectively. They are designed to work seamlessly together, offering a robust solution for developing feature-rich CLI applications. To understand how they work internally and complement each other, let’s dive deeper into their architecture and how they interact.

Bugs that slip through testing and reach production can derail even the most well-planned software release. The key to avoiding costly fixes and downtime? Catching issues early – before they impact users. Pre-production testing is vital, but without the right level of error visibility, identifying the root cause of failures can feel like searching for a needle in a haystack.

AI has been booming and has become a transformative force in several industries, software testing and QA are no different. With the evolution of technology and complexity of applications, automation and big-volume data analysis require extra assistance, and that’s where AI might come in handy. In QA, AI could help improve the efficiency of test management tasks, reducing manual effort.