CloudDefense.AI Blog

For organisations, modern development is all about delivering software to the market at high speed. They have to maintain agility and speed, all this while safeguarding themselves from ever-evolving security threats. However, traditional AppSec platforms without having the complete security context are struggling to cope with

The emergence of DevSecOps methodology has completely reshaped how organization secure their application development lifecycle. It has enabled organizations to embed security guardrails into every stage of development. However, with increasing complexity and an accelerated development cycle, organizations need a high-paced remediation process to address issues. 

Application security has always been a cornerstone of modern organizations’ security posture. Most organizations are adopting Agile and DevOps development methodology to deliver applications faster to the market. However, to maintain a secure yet high velocity development process, automating AppSec workflow has become a necessity.  It

In today’s agile software development world, developers leverage varied programming languages like Python, Java, Go, and JavaScript to streamline the process. Having support for different programming languages, developers can quickly deliver applications to the market. However, to ensure all the codes are secure before they are

In today’s fast-paced software development process, developers are always trying to accelerate the development and deployment process. However, vulnerabilities have become a serious obstacle for developers in achieving a shorter time to market. The high volume of vulnerability alerts is overwhelming developers.  Not only that, but

In today’s high-velocity application development process, security has become a primary consideration for every organization. DevSecOps approach has emerged as the vital framework for implementing security checks in every phase of SDLC and delivering secure applications.  For the DevSecOps pipeline, the Static Application Security Testing tool

With time, developer’s reliance on AI-based code editors is increasing. It is estimated that in 2024, AI code assistants were used to write approximately 250 billion lines of code for various development tasks. According to the latest statistics, around 50% of applications are developed using AI-generated

For decades, Static Application Security Testing has been benefiting organizations to uncover vulnerabilities in the development environment. It helps organization secure their source code and offers a certain degree of security API and packages. However, with the pace at which modern cybersecurity is evolving,  this legacy

Organizations are always in an endless pursuit of delivering secure applications in an evolving cybersecurity world. Application security tools play a vital role in securely deploying applications through consistent security scanning code, detecting vulnerabilities, and providing alerts. However, identifying and providing alerts about security threats is