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  • Is Platform Engineering Just for Kool Kids?

    May 21, 2025

  • Platform Engineering, DevOps

    The Rise of Sub-Specialties in Platform Engineering: A Sign of Maturity

    April 24, 2025

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

    AI in Platform Engineering: From Automation to Predictive Analytics

    April 21, 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

  • Platform Engineering, education, certifications

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

    March 11, 2025

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

    Scaling Responsible AI With Platform Engineering and Advanced Observability

    March 3, 2025

  • CrowdStrike, windows, Microsoft system outage crash software update

    Shreds.AI Launches LLM Platform Trained for Software Engineering

    June 13, 2024

  • test, DevOps, testing, test, AI, AI tools, challenges, testing, ETL, continuous testing code, exercised, negative, testing, CI/CD SAST productivity product organizations development testing devops compliance developers Shortcut testing QA PractiTest Mabl

    How Generative AI Enables Unified Continuous Testing Platforms

    March 21, 2024

  • platform, teams, modernization, change, build, buy, platform, CI/CD, DevOps 2.0, platform engineering, CoE, AI, IT Ops production environment

    The Age of Platform Engineering: What to Expect in 2024

    January 9, 2024

  • cloud cost, engineering, AWS multi-cloud challenges, multi-cloud, costs, CloudBolt FinOps Grafana observability Vega Cloud cost multi-cloud FinOps governance cost-efficient Multi-Cloud Cost Optimization

    Platform Engineering is a ‘Golden Path’ to FinOps

    December 14, 2023

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Security in AI

Step 1 of 7

14%
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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