Modern development teams are under constant pressure to ship faster, without compromising on security or compliance. In this session, we’ll explore how to supercharge your DevOps pipelines with AI-powered tooling, GitHub Actions, and Kubernetes to build resilient, secure, and scalable cloud-native applications. We’ll walk through a real-world DevSecOps implementation that integrates container security scanning, policy-as-code, anomaly detection with ML models, and automated remediation workflows. You’ll also see how to incorporate explainable AI into observability and incident response, improving trust and insight across engineering and security teams. Whether you’re modernizing monoliths or building greenfield microservices, this session will equip you with practical techniques to operationalize security and scalability from day one.

Target Audience:

DevOps Engineers

Cloud Architects

Full-Stack Developers

Security Engineers

Engineering Leaders and Tech Mentors

Level: Intermediate to Advanced