CloudDefense.AI Blog

Application security in today’s world is constantly under threat from cyber attackers exploiting every possible vulnerability in the application source code. Organizations require advanced and AI security testing methodologies within the SDLC to identify and mitigate vulnerabilities, including zero-day attacks.  Among all, AI SAST and AI

The OWASP Top 10 is one of the primary standards that enables organizations to set a baseline for their application security. It provides organizations with a foundational guide, outlines the vital and severe application security risks.  However, as attackers are getting sophisticated with their attacks and

For the last several years, traditional SAST has been one of the primary pillars of the modern software development environment. It employs a white-box approach to thoroughly scan the application’s source code and identify any vulnerabilities.  However, with evolving cyberthreats, fast-paced development, and increasing complexity in

Over the years, the software development approach has undergone significant evolution. Modern organizations are always in pursuit of achieving quicker and more secure software delivery, making the “shift-left” approach a primary pillar.  However, with increasing demand for precision in shift-left security and rapid cloud-native CI/CD workflow,

Over the years, the software development approach has undergone significant evolution. Modern organizations are always in pursuit of achieving quicker and more secure software delivery, making the “shift-left” approach a primary pillar.  However, with increasing demand for precision in shift-left security and rapid cloud-native CI/CD workflow,

The cloud-native application protection platform, or CNAPP, has revolutionized how developers and AppSec teams secure modern cloud-native applications. It has brought a major shift to the security aspect of cloud native applications.  With containers and Kubernetes becoming a default for development and a high-speed dev cycle

In 2025, developers are always finding ways to speed up their development process. With the rapid adoption of AI code editors, organizations are achieving unprecedented development speed. However, it is also creating attack vectors in the development pipeline, and a vulnerability in the codebase can hamper

In 2025, developers are always finding ways to speed up their development process. With the rapid adoption of AI code editors, organizations are achieving unprecedented development speed. However, it is also creating attack vectors in the development pipeline, and a vulnerability in the codebase can hamper

Software development was once a team’s job. The advent of Continuous Integration and Continuous Delivery (CI/CD) completely transformed everything. It enables multiple dev teams to work together and boost the development through automation. For modern organizations, the CI/CD pipeline has become the backbone to cope with