The DevSecOps environment is evolving rapidly—it's no longer a matter of integrating security scans into legacy CI/CD pipelines. Instead, we're headed toward an intelligent, adaptive workflows future powered by AI. In this session, we explore how integrating machine learning models into DevSecOps practices makes software delivery more intelligent and more secure.

We’ll dive into practical examples of AI-enhanced pipelines that go beyond basic automation. These advanced workflows are capable of proactively identifying vulnerabilities, detecting anomalies in real-time, and streamlining incident response. By embedding machine learning into popular CI/CD tools like GitLab and Tekton, teams can implement predictive testing and dynamic compliance validation that evolves with the system, improving both security and efficiency.

Attendees will discover real-world use cases and strategies drawn from large-scale enterprise environments, where AI has significantly boosted security posture without slowing down development. We’ll demonstrate how to set up intelligent pipelines that not only react to issues but anticipate them, enabling a more resilient and agile approach to DevSecOps.

If you're interested in scaling secure deployment, gaining more visibility, or eliminating manual overhead, this session presents a view of the future of how AI can be used as a force multiplier. This is ideal for DevOps, security teams, and architects that want to upscale their toolchain and stay in front of a more complex threat landscape.

As the online world continues to evolve, the intersection of Web3 and container solutions is creating a new era of decentralized cloud infrastructure. With their portability, scalability, and efficiency, containers are becoming the building blocks of choice for deploying and operating decentralized applications (dApps) and distributed computing environments in the Web3 world. By virtualizing infrastructure and offering uniform runtime environments, containers allow developers to build, deploy, and manage services across geographically dispersed nodes—a basic ability for decentralized systems.
There is a new trend here that comes with new and difficult security implications. Traditional security models depend on central control and fixed boundaries, which are not easily applicable to decentralized settings. In Web3 environments, where control, execution, and data are distributed, trust and integrity are much harder to ensure. Containers in such contexts introduce new kinds of threats, such as vulnerabilities in base images, insecure communication between nodes, and the threat of tainted containers impacting a bigger network of services.
This session will explain how containers are fueling the decentralized cloud in Web3, both its potential and risk involved in its security. It will also examine ways to address the risks, including cryptographic identity, zero-trust networking, secure orchestration, and immutable infrastructure. Everyone in attendance will learn about the best ways to protect, grow, containerized solutions in a very decentralized world and how to address the evolving threat landscape coming their way before it gets the better of them.