Software Testing Blog

Cyber threats are evolving rapidly, as they are powered by technology, like everything else in our increasingly digital world. With data being the most valuable resource, it’s no wonder that governments establish ever stricter rules for ICT (Information & Communication Technology) security and data protection. The Digital Operational Resilience Act, or DORA, is the EU’s recent set of regulations for ICT risk management by financial entities.

Cybersecurity is becoming a greater concern every year as the world grows more digitalized. We are vulnerable in this technology-dominated economy, and criminals capitalize on that. This list of the best pen testing tools is a reminder to every business owner that protecting your system must be a priority. Regardless of your company’s size, there are ways to afford penetration testing services and solutions and automate these checks to ensure continuous maintenance of your defenses.

If you follow the news in the technology world, you wouldn’t question why open source security tools are growing in number, because you’ve seen a huge number of stories about data breaches or websites being hacked. That’s because, no matter how far technology has come, hacking is not lagging behind. In fact, in 2025, the average cost of a data breach reached over $4.4 million. Therefore, if you want your software to be safe, you need to be one step ahead.

Web applications have become the backbone of modern business operations. Consequently, they are a primary target for cybercriminals. According to the latest report from Verizon, application attacks and credential theft are the root causes of 12% of confirmed data breaches globally, with phishing and AI-powered social engineering further escalating the threat landscape.

Have you considered that, with the exceptionally fast growth of this tech, the hidden risks of AI agents can have just as much impact on our lives as AI technology itself? In 2025, about 25% of businesses that use generative AI launch their own agentic AI pilots. Therefore, the number of such ‘autonomous’ AI-powered tools increases exponentially.

AI systems slip in the exact moments users lean on them most. A chatbot loses track mid-conversation, a copilot edits the wrong code block, a recommender pushes products no one would ever click. You’ve likely seen these glitches firsthand, usually when your team can least afford them.

Should you use game testing automation tools or stick with manual testing only? If you do use AI-based testing and otherwise automated solutions, which should you go for?

Searching for the top QA events and software testing conferences to boost your career or business in 2026? You’re in the right place!

Everyone’s talking about DORA compliance requirements, but most folks still treat it like a riddle wrapped in red tape. Spoiler: it’s neither boring nor optional, especially if your business is anywhere near finance, banking, or the cloud software game in Europe.

Testing AI search and recommenders is critical to delivering a seamless user experience that engages rather than annoys buyers. Poorly configured AI search engines and ineffective AI recommender systems can frustrate users with irrelevant results, confusing navigation, or overly aggressive recommendations. This is where professional AI testing services can make all the difference.