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Home » Features » Page 2

Features

  • platform engineering, sourcing

    Why Great Platform Engineers Think Like Product Builders

    April 17, 2025

  • Google

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

    April 16, 2025

  • Measuring What Matters: The True Impact of Platform Teams

    April 14, 2025

  • typing

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

    April 9, 2025

  • news

    Spotify Adds SaaS Edition of Backstage IDP

    April 7, 2025

  • platform, IDP, generative ai, AI, responsible ai, automation, AI, human, observability, engineering

    How Generative AI is Redefining Self-Service Capabilities in IDPs

    March 20, 2025

  • hiring, onboarding, automation, developers, platform engineering, careers, jobs

    How We Reduced Onboarding Time From 2 Weeks to 2 Hours: A Platform Engineering Case Study

    March 17, 2025

  • platform engineering, myths, developer, developers, UX platforms, engineering, innovative, innovation, platforms, scale, platform engineering developer control plane experience platform

    Designing Platforms With UX Principles: Lessons From Product Design Applied to Developer Portals

    March 14, 2025

  • IDPs, developer, platform, engineering, devops, observability, dynatrace's, scalability, model, DaaS, AI assistants, engineers, DevOps, platform engineering, teams, event-driven. architecture, EDA, platform engineering, software,

    Building a Developer-Centric Platform: Balancing Speed and Scalability 

    March 12, 2025

  • Platform Engineering, education, certifications

    A Self-Driven Platform That Works Without Pause to Identify Issues in the Network

    March 11, 2025

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Security in AI

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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 organization’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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