QASource Blog

Explore how AI-powered techniques improve mobile app security testing. Learn about advanced threat detection, automated vulnerability analysis, and adaptive security measures. QASource leverages these strategies to ensure robust protection for mobile applications.

Explore the integration of AI in DevSecOps, which highlights advanced AI tools and strategies for enhancing cybersecurity. It includes predictive analytics and real-time threat detection, reshaping the future of secure software development.

Software security and compliance are more than necessary; they are imperative to maintaining trust and meeting legal standards. Failing to address these critical elements during the software testing phase can lead to significant vulnerabilities, exposing organizations to operational risks and regulatory penalties. This blog explores strategic solutions to mitigate security risk effectively, ensuring your software meets the highest security and compliance standards.

Businesses are increasingly challenged to protect their networks, data, and systems from growing cyber threats. This rising concern goes beyond simple defense and calls for detailed, proactive plans to address each organization's weak spots. This blog covers the leading cyber security testing companies, offers answers to urgent cybersecurity challenges, and serves as a strategic partner in managing the complexities of today's digital world.

Explore IoT security testing in this newsletter, covering landscape insights, testing importance, AI-driven use cases, dedicated tools, and best practices. Emphasizing the critical need to secure interconnected IoT systems in today's digital age.

Product companies always deal with unfamiliar situations. Since companies are running their operations remotely, opportunistic threat actors have increased their attacks which has increased the importance of cybersecurity.

Businesses rely on mobile apps more than ever. In this edition of the expert series, we will discuss the common mobile application vulnerabilities along with their resolutions.

Modern applications are highly complex and require a lot of testing. A common complaint of QA and software developers is the lack of time given to test out every facet of a program. A risk-based testing method can address this issue. This method focuses on risks that the software is likely to encounter based on its complexity, intended use case, and design. Read on to learn more about risk-based testing and its importance to software development.

With the increasing adoption of SaaS (Software as a Service) platforms, the number of cyber threats and attacks is also rising. SaaS platforms store sensitive and confidential data, making them a prime target for cybercriminals. As a result, it is imperative to ensure the security of SaaS platforms to prevent data breaches, data theft, and unauthorized access. The potential loss of data and its impact on a company's reputation can be catastrophic. Therefore, implementing robust cybersecurity in SaaS is critical to protect SaaS platforms and their users.