CloudDefense.AI Blog

With the need for speed in the application development process, developers are rapidly turning to AI-powered IDEs like Cursor. It has not only enhanced developer productivity but also enabled organizations to achieve faster release cycles. However, implementing AI-generated code into the codebase introduces new security risks

With applications being the backbone of modern enterprises and a constant threat from attackers, complete security of every application has become a necessity. Moreover, development cycles are accelerating with time, and the addition of dependencies and API is making applications more complex.  Although standard application security

Modern software development commands speed and agility, fueled by AI-assisted coding and an advanced CI/CD pipeline. However, to cater to high-speed application development approaches, organizations need a shift in their application security approach.  AI SAST, or AI-based Static Application Security Testing, serves as a proactive and

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