In 2022, DevSecOps trends such as Infrastructure as Code, GitOps, serverless architecture, and the evolution of Kubernetes are key enablers for teams to automate and streamline their CI/CD pipelines, balancing the need for speed with maintaining high-quality and secure software development. As organizations strive to innovate faster, they face the challenge of deploying code quickly without compromising security, with 60% of developers releasing code twice as quickly and nearly half deploying vulnerable code under time pressures. DevSecOps teams can mitigate these risks by automating processes throughout the software development lifecycle (SDLC) and using observability platforms to detect code-quality lapses and security gaps. The adoption of DevSecOps practices is increasing, with a notable rise from 27% in 2020 to 36% in 2021, largely driven by the integration of automation tools that improve application deployment efficiency and reduce human error. As cyberattacks via vulnerable third-party code increase, methods like AIOps for real-time root-cause analysis become critical. The integration of AI and machine learning in operations is set to enhance DevSecOps practices further, enabling strategic focus by automating routine tasks, thus facilitating the deployment of secure, high-quality code without slowing innovation.