Application Security for Developers
About this Course
Vulnerabilities can occur at any stage of software development, making it critical for developers to write secure code and maintain a secured development environment and the platform it runs on. In this course, you will learn to identify security vulnerabilities in applications and implement secure code practices to prevent events like data breaches and leaks which can significantly impact an organization’s reputation and financial condition. This course provides a comprehensive overview of security best practices that developers should follow when developing applications. You’ll gain extensive knowledge on various practices, concepts, and processes for maintaining a secure environment, including DevSecOps practices that automate security integration across the software development lifecycle (SDLC), Static Application Security Testing (SAST) for identifying security flaws, Dynamic Analysis, and Dynamic Testing, and creating a Secure Development Environment, an ongoing process for securing a network, computing resources, and storage devices both on-premise and in the cloud. This course familiarizes you with the top Open Web Application Security Project (OWASP) application security risks such as broken access controls and SQL injections and teaches you how to prevent and mitigate these threats. This course includes multiple hands-on labs to develop and demonstrate your skills and knowledge for maintaining a secure development environment.Created by: IBM
Level: Intermediate

Related Online Courses
Organizations require fast, efficient, and secure networks to compete in today’s global business world. Technical Support professionals are in high demand to meet organizations’ expanding needs and... more
Students will build on the skills learned from “Introduction to Object-Oriented Programming with Java I: Foundations and Syntax Basics” and learn the basics of writing classes that serve as blu... more
The Python programming language is extremely powerful and commonly used to automate time-intensive activities/tasks for users. This makes Python a good skill to have for any job that requires... more
Foundations of Data Analytics: This course will provide fundamental techniques for data analytics, including data collection, data extraction, data integration, data cleansing, and basic machine... more
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in thi... more