Things you'll learn
- How GenAI is reshaping artifact pipelines – AI-generated code is changing how artifacts are created, vetted, and trusted.
- Managing AI-generated code risks at scale – Learn how teams are automating policy and provenance tracking.
- Why performance and scale now matter most – Latency and artifact sprawl are driving major upgrades.
- Staying ahead of rising compliance pressure – Get clear on what SLSA, DORA, CRA, and NIS2 mean for your pipelines.
- Where legacy tools fall short (and what’s next) – Why teams are moving to modern, cloud-native platforms.
Speakers
Summary
The software development landscape is undergoing a major transformation driven by the rise of AI and automation. While these technologies offer incredible speed and innovation, they also introduce new pressures - demanding that software delivery be faster, more secure, and fully compliant with evolving global regulations.
Drawing on insights from over 300 engineering, DevOps, and security professionals, this webinar will examine how leading organizations are rethinking their artifact infrastructure to meet these modern challenges. From securing pipelines to navigating compliance, we’ll dive into the practical steps teams are taking to adapt.
We'll gain deeper insight into the challenges users face in securing AI-driven pipelines, especially as threats like AI malware hidden in unvetted dependencies (e.g., through manipulation techniques like slopsquatting) continue to emerge. We'll also explore developers' concerns around scalability, performance, and the security limitations of today’s artifact management systems.
In addition, we’ll cover how organizations are aligning with regulatory frameworks like SLSA, DORA, and the EU CRA by building in traceability, auditability, and automated policy enforcement. Finally, we’ll look at strategies for enabling cross-functional collaboration, while still maintaining strict governance, visibility, and control over the entire software supply chain.
