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  • platform engineering, canstockphoto7509506-2

    The Democratization and Adoption of Platform Engineering in Mid-Sized Enterprises

    May 5, 2025

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    Inner Sourcing Isn’t a Platform Engineering Silver Bullet

    May 1, 2025

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    Platform Engineering Maturity: Benchmarks, Challenges and the Impact of GenAI

    April 29, 2025

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    Platform Engineering Faces Myths, Misconceptions Amid Growing Adoption

    April 28, 2025

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    Google Cloud Unveils Agent2Agent Protocol: A New Standard for AI Agent Interoperability

    April 16, 2025

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    Platform Engineering: DevOps Savior or the Revenge of Centralized IT?

    April 9, 2025

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    How Open Source Multiplies Platform Engineeringโ€™s Benefits

    January 9, 2025

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    The Expanding Horizon of Platform Engineering: DevOps-Focused or Beyond?

    November 20, 2024

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Security in AI

Step 1 of 7

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How would you best describe your organization's current stage of securing the use of generative AI in your applications?(Required)
Have you implemented, or are you planning to implement, zero trust security for the AI your organization uses or develops?(Required)
What are the three biggest challenges your organization faces when integrating generative AI into applications or workflows? (Select up to three)(Required)
How does your organization secure proprietary information used in AI training, tuning, or retrieval-augmented generation (RAG)? (Select all that apply)(Required)
Which of the following kinds of tools are you currently using to secure your organizationโ€™s use of generative AI? (select all that apply)(Required)
How valuable do you think it would it be to have a solution that classifies and quantifies risks associated with generative AI tools?(Required)
What are, or do you think would be, the most important reasons for implementing generative AI security measures? (Select up to three)(Required)

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