CloudStakes Technology

  In the past few years, we have seen the advancement of developer tools and platforms for technologies like machine learning and artificial intelligence in industries, including banking, finance, healthcare, and more. Also, AI developers have tried several techniques, from utilizing cognitive cloud-based APIs, framework libraries to trained models only to integrate AI capabilities into applications. Developers (i.e., AI engineers and researchers), in the end, have decided to choose a suitable machine learning framework in order to train their ML models.        The reason behind choosing the ML framework is to make the development process of machine learning models faster and smoother. These tools minimize developers' ML deployment efforts and reduce overall ML model development time. However, organizations can design ML framework according to their needs. In most cases, they choose to use the existing one that matches their demands.    Thi...

  Today, modern enterprises are under pressure to innovate their approaches (such as moving to cloud platforms) and deliver products to their customers with high-speed and better capabilities.      However, the increasing adoption of cloud platforms in organizations is also becoming a reason for the increasing cyber att acks . Therefore, security engineers should put their efforts into software development to include all necessary security and check fo r possible security vulnerabilities to eliminate further cyber threats.    Using automated security process platforms such as DevSecOps , they can discover system vulnerabilities effortlessly. Organizations can develop additional security measures as per their requirements , whether at the initial phase of the project or in the final phase .     Why Should Organizations Adopt DevSecOps Approach?   As per the survey of ESG (Enterprise Strategy Group) in 2020, around 70% of glo...