IT Ops Query
IT Ops Query

JFrog CTO on enterprise AI software supply chain security

04 December 2025 22:52 Informa TechTarget

Listen to episode

About this episode

Yuval Fernbach has more than a decade of hands-on experience in the realm of data and machine learning, and served as the co-founder and CTO of Qwak from 2020 until it was acquired by JFrog in 2024. Fernbach is now vice president and CTO of JFrog ML, a subset of the JFrog software supply chain management toolset focused on AI and machine learning operations, or MLOps. In this interview, he discusses the unique challenges generative AI poses in software supply chain security, and what enterprise developers and platform engineers need to know about this new frontier in technology.

Featuring: Yuval Fernbach, vice president and CTO of JFrog ML

In today’s episode, we’ll cover…

  • Increased risks and governance issues due to generative AI's widespread use among software engineers
  • JFrog's platform extensions for managing AI models and Shadow AI detection
  • The importance of maturing AI adoption practices
  • JFrog Fly, an agentic artifact repository designed for small teams

and more!

References:

  • JFrog integrates with Hugging Face, Nvidia; intros JFrog ML
  • JFrog extends DevSecOps playbook to AI governance
  • JFrog connects key software supply chain management dots
  • JFrog buy bolsters MLOps combo with DevSecOps

To learn more about software development and platform engineering, check out Search IT Operations.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 IT Ops Query. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.