CloudDefense.AI Blog

Modern AppSec has evolved rapidly in the past few years with the advent of AI. However,  a disconnect still exists between application security and developers. Many security tools used by organizations are highly efficient in finding vulnerabilities, providing hundreds of alerts. However, they fail to cover

Modern software development is all about high-speed delivery. Speed has become one of the key aspects of success. However, DevSecOps’s mandate for “shift left”- integrating security at every stage of development generates friction. Over the years, DevSecOps has maintained a harmony between speed and security.  But

In modern DevSecOps culture, speed and security are non-negotiable. Continuous Integration and Continuous Development (CI/CD pipeline) serves as the cornerstone for development. Whereas a Static Application Security Testing tool helps in uncovering vulnerabilities during development.  However, as modern development and cybersecurity are becoming increasingly complicated, SAST

In today’s high-stakes healthcare sector, where healthcare providers leverage various digital solutions, health security has become paramount. Healthcare cybersecurity is always under pressure from data breaches or zero-day exploits, as it holds millions of patients’ data. However, the most severe issue that has plagued the industry

Traditionally, security has always been an obstacle in the development process for engineering teams. The teams are bombarded with an overwhelming number of false positives from different security sources.  It not only leads to high alert fatigue but also causes developers to resort to context switching.

For years, most organizations have been raising one major issue when it comes to scanning in AppSec: false positives. It is a bane to modern AppSec programs that has numerous negative consequences to the development process.  In today’s high-paced software development process, where velocity and accuracy

Modern cybersecurity is evolving rapidly, fueled by AI-driven code generation and an advanced DevOps approach. While AI-based AppSec tools have been helping organizations to bolster their guardrails, it is failing to cope with the high volume of code changes and increasing complexity.  However, the advent of

In today’s modern software development, where speed and security go hand-in-hand, application security (AppSec) is no longer just a feature. AppSec has become a necessary foundation of every organization’s security strategy.  As developers write code, especially through AI-code editors, it creates a possibility of introducing vulnerabilities

The multicloud strategy has become completely mainstream. A recent Cloud Security Alliance report highlighted that around 57% of organizations in the industry are now using a multicloud environment to run their operations. Every CISO and CTO has embraced this model to avoid traditional vendor lock-in and

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