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Testing

Best Practices for Cybersecurity in .NET Applications

In today's digitally interconnected world, cybersecurity is not just a priority-it's a necessity. For developers working with.NET applications, ensuring robust security measures can protect sensitive data, maintain user trust, and prevent costly breaches. Here are the essential best practices for enhancing cybersecurity in.NET applications. Keeping your.NET applications updated is crucial for maintaining security. For example, migrating from.NET Core 3.1 to.NET 6 can bring significant security enhancements and performance improvements.

From simulation to success: the impact of fuzzing in software-in-the-loop testing

Software-in-the-loop (SiL) testing is a pivotal method in the software development lifecycle, especially for embedded systems and critical applications. By simulating real-world conditions and integrating software components within a controlled virtual environment, SiL allows for the early detection of bugs, ensuring higher code quality and reliability. Read on to learn how to introduce SiL testing in your project.

Why Is Manual Testing a Thing of the Past?

Before end-to-end (E2E) testing frameworks, the software development industry struggled with fragmented and inefficient testing methods. Testing was manual, labor-intensive, and prone to human error, which limited testing coverage and left many critical issues undetected until later stages of development. This manual approach relied heavily on developers and testers executing test cases by hand, leading to substantial inefficiencies and incomplete test coverage.

Testing Banking Website Security: What You Need to Know

With 86% of UK adults using a form of online or remote banking and high street banks closing in record numbers, banking websites have become an integral part of our daily lives. They have changed how we manage our money, allowing us to send and receive money from anywhere in the world, open or close accounts at the click of a button (or tap or a screen), and avoid queuing in physical banks. They have also transformed the UK's criminal landscape.

Black Box Security Testing - Process, Types and Techniques

With cybercrime costs projected to hit $10.5 trillion by 2025, securing digital assets is more critical than ever. Black box testing in security has become a key strategy for organizations to identify vulnerabilities in software and systems proactively. This blog delves into the essential role of black box security testing in mitigating risks along with its various types and techniques.

How AI adoption throughout the SDLC affects software testing

With AI finding adoption throughout all stages of the development process, the SDLC as we know it is becoming a thing of the past. Naturally, this has many implications for the field of software testing. This article will discuss how the SDLC has evolved over time, going into detail on the impact that AI adoption is having on both software development and software testing.

Security Testing in Software Development: Assessing Vulnerabilities and Weaknesses

The critical role of security testing within software development cannot be overstated. From protecting personal information to ensuring that critical infrastructure remains unbreachable, security testing serves as the sentry against a multitude of cyber threats.

Web Application Security Testing: Struggles, Shortfalls and Solutions

High-value data, mission criticality, and sheer numbers make web applications a compelling target for cyberattacks. According to Verizon’s 2023 Data Breach Investigations Report, web applications were the most commonly exploited vector in both incidents and breaches last year.1 There’s another reason why web applications may be so attractive to threat actors. Most security teams simply cannot keep pace with demands for application updates and patching, testing, and vulnerability remediation.

Effective Disaster Recovery Testing: Technical Guide

The distributed and complex nature of Kubernetes applications empowers agility and scalability but also presents unique challenges when it comes to disaster recovery (DR). Handling the interplay of containers, microservices, and persistent volumes requires a robust and well-tested DR plan to ensure business continuity in the face of unexpected disruptions. A poorly tested or inadequate disaster recovery testing strategy can lead to prolonged downtime, data loss, and significant financial setbacks.

The ethical considerations for AI-powered software testing

As AI integrates into every stage of the SDLC, the area of software testing is undergoing transformative and unprecedented changes. In this article, we will discuss the ethical considerations for AI-powered software testing, examining the advantages and potential hurdles generative AI presents as a new technology being applied across the SDLC.