JFrog DevOps, Security & AI/ML-Ops
Breaking Silos, Building Trust: Balancing Speed, Scale & Governance in Modern Tech Environments
As organizations adopt emerging technologies at pace, friction between DevOps, Technology and Security teams can create silos, operational slowdowns, and security blind spots.
Is your organization facing this challenge?
This roundtable brings together technology leaders to unpack how we harmonize these essential teams, and how automation, tooling and governance can help strike the right balance between speed, security and scalability - especially in the era of AI and ML-Ops.
Join a candid, expert-led conversation focused on the real-world hurdles of modern software deliver, from managing distributed environments to governing machine learning pipelines.
Key Discussion Topics:
- Breaking Down Silos - Why alignment between DevOps, Technology & Security remains elusive - and how to fix it.
- The Challenges of Scale - Navigating the complexity of distributed architectures and multi-environment deployments.
- Resilience in Global Development - Building robust systems that support worldwide collaboration and 24/7 operations.
- Governance in the ML-Ops Era - Understanding the unique risks AI/ML introduces into the DevOps pipeline.
- Securing the ML-Ops Lifecycle - Strategies for ensuring compliance, traceability and trust in AI/ML deployment.
- Trusted, Compliant Releases at Speed - Balancing fast delivery with governance using automation and tooling.
Walk away with practical strategies for aligning DevOps, Security and Tech teams, governing AI/ML-Ops with confidence, and balancing speed with compliance - all while learning from real-world peer experiences.
Reserve your spot below
Participation is limited to keep the conversation focused and interactive.