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Ohad Shalev

JFrog Product Marketing Manager, AI Security

Ohad is a Product Marketing Manager at JFrog, specializing in AI solutions. He has over 6 years of experience in product marketing, with a proven track record of bringing data-driven products to market. His background includes service as an officer in the Israeli Defense Intelligence and a Master’s degree in Political Communication, equipping him with a strategic and analytical approach to his work.

The Latest From Ohad Shalev

  • Shadow AI Detection Now Extends to Developer Workstations
    | 6 min read

    ZIP files shared between co-workers containing new agent skills, locally-developed MCP servers passed between developers, and locally stored newly-minted agents are all seemingly harmless files that are commonly used in corporate software development environments. Unfortunately, far from being harmless, these locally stored files can contain AI assets that were never detected or registered as an…

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  • Agent Immunization: A New Model for Building Trusted AI Agents
    | 7 min read

    Notice: JFrog AI Catalog is now JFrog AI Security. AI registries have moved to Artifactory, while AI asset curation is now managed in Curation. Learn more. The riskiest thing agents do all day isn't writing code; it's “shopping”. Every minute, they reach out to the internet for a package, a plugin, or an MCP server…

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  • Agentic Development Security is a Discipline that Starts Before the First Line of Code
    | 7 min read

    Notice: JFrog AI Catalog is now JFrog AI Security. AI registries have moved to Artifactory, while AI asset curation is now managed in Curation. Learn more. Ask most security tools what an AI coding agent just built, and they can tell you. Ask what it was allowed to consume before it started, and far fewer…

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  • Trusted AI Adoption (Part 2): Detection
    | 6 min read

    It’s Monday morning. Your coding agents ran all weekend. Your security dashboard shows the exact same numbers it did Friday afternoon. Same models, the same approved Model Context Protocol (MCP) servers, the same AI assets you are familiar with. Reassuring. Then, suddenly, you get a notification: a production deploy failed an audit. The build references…

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  • Trusted AI Adoption (Part 1): Consolidation
    | 6 min read

    Imagine your lead Software Engineer walks into your office and says, "Good news! I just deployed that critical update to production. I wrote the code on my personal laptop, didn’t run it through CI/CD, skipped the security scan, and just copied the files directly to the server with a USB drive." You would fire them.…

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  • The AI Blind Spot Debt: The Hidden Cost Killing Your Innovation Strategy
    | 6 min read

    In today’s AI rush, I’ve seen even the most disciplined organizations find it almost impossible to apply the hard-won lessons of DevOps and DevSecOps onto AI adoption. These organizations often feel forced to choose between moving fast and staying in control. As a result, they develop a "wait and see" approach to AI usage and…

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  • The Innovation vs. Control Syndrome: Unlocking Enterprise AI’s Full Potential
    | 4 min read

    From optimizing supply chains to personalizing customer experiences, artificial intelligence and machine learning models are no longer statistics-based revenue initiatives; they’re foundational to modern business strategy. Organizations are pouring resources into developing and deploying AI, driven by the promise of unprecedented efficiency, insight, and competitive advantage. Yet, beneath this surging wave of innovation lies a…

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