Serena Gray's Blog

  Security testing ensures that the software product or application that has been developed is robust and fully secured and thus it is protected against cyber attacks . To further enhance the performance of security testing , the platform of Artificial Intelligence (AI) and Machine Learning (ML) can be integrated. Through this integration, false positives are reduced and the precision of tests is enhanced. In this article, you will get to know the value of integrating AI and ML platforms in security testing.      What is AI-driven security testing?   The processes that are used in testing software applications for security vulnerabilities are enhanced and automated by Artificial Intelligence (AI) and Machine Learning (ML) technologies using the AI-driven security testing platform. Intelligent algorithms are used by AI-driven approaches to predict outcomes, learn from data and discover security flaws with greater speed and accuracy.      Followin...

The cost and time required for carrying out computing needs are significantly reduced by the cloud technologies platform. The effort, time and cost required to set up and maintain a physical infrastructure is eliminated by the cloud environment. The software development process is accelerated by the cloud-based test automation platform, which, in turn, helps to shorten the product’s time-to-market. In this article, you will get to know about cloud-based test automation solutions .     What is cloud-based test automation?   It is a software development approach that leverages the cloud technology platform to scale up testing and software releases. This is achieved by ‘spinning up’ on-demand test environments, thereby enabling the software development teams to continuously test, develop and release digital products without requiring the new infrastructure. This in turn ensures faster testing is possible with more test environments   The software development ca...