DevSecOps engineers face the challenge of keeping up with the pace of continuous integration and deployment (CI/CD) while maintaining the highest levels of security. With the increasing complexity of modern software applications, the traditional manual security testing approach is no longer feasible. AI has emerged as a game-changer in the field of security testing and analysis, helping DevSecOps teams to automate their security testing and analysis process, identify potential security threats and vulnerabilities in real-time, and monitor compliance.
In this session, we will explore how AI can be used to enhance the security culture and education programs for DevSecOps engineers. We will discuss the different AI technologies, practices, and methodologies that can be used to improve the security posture of software applications. We will also highlight the key benefits of using AI in security testing and analysis, including reduced time-to-market and improved software quality.
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