August 2025

The use of AI-powered systems is expanding remarkably across various industries, and thus, evaluating AI systems has grown to be a major challenge in guaranteeing optimal performance. Artificial intelligence (AI) models are more complex and challenging to validate using standard testing methods since they are data-dependent, constantly changing, and non-deterministic. Additionally, deploying AI-powered apps requires…

AI E2E testing is changing the way we test our applications to better enable quality assurance in a way that is more efficient, adaptable, and comprehensive. Traditional end-to-end (E2E) testing is a lengthy process and is typically associated with developing test cases manually, which often wasted time as the scope and complexity of applications today…

Test automation with conventional methods tends to be challenged by dynamic applications, frequent code modifications, and the growing complexity of application development. The evolution of AI test automation has transformed the testing process by enhancing efficiency, accuracy, and flexibility. AI-driven test automation employs ML algorithms, NLP, and computer vision to enhance regression testing, expand test…

As businesses increasingly adopt remote work, cloud-first strategies, and borderless operations, traditional network security models are proving inadequate. In response, Secure Access Service Edge (SASE) has emerged as a modern solution that integrates networking and security into a single, unified, cloud-based framework. While SASE offers enhanced performance, scalability, and protection, the migration process can be…

Outsourcing IT services has become a strategic move for many small and mid-sized businesses (SMBs) aiming to reduce costs, access expert support, and focus on core business functions. When done right, it can streamline operations, boost cybersecurity, and improve overall efficiency. However, many SMBs fall into avoidable traps that undermine these benefits. Whether it’s rushing…