Skip to content
Platform Engineering Logo
  • Latest
  • Webinars
  • Videos
    • The Platform Engineering Show
  • Related Sites
    • Techstrong Group
    • Cloud Native Now
    • Security Boulevard
    • Digital CxO
    • Techstrong AI
    • Techstrong ITSM
    • Techstrong Research
    • DevOps Chat
    • DevOps Dozen
    • DevOps TV
    • Techstrong TV
    • Techstrong TV Podcast
    • Techstrong TV Twitch
  • About
  • Media Kit
  • Automation & Tooling
  • Best Practices
  • Cloud Management
  • Developer Experience
  • Developer Portal
  • More
    • DevOps & SRE
    • Infrastructure as Code
    • Innovation & Emerging Technologies
    • Leadership Strategy
    • Observability & Monitoring
    • Research
    • Security & Compliance
    • Training & Certification
Home » Sub Site » Page 2

Sub Site

  • 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,

    Platform Engineering: The Evolution to DevOps-as-a-Service

    June 17, 2024

  • CrowdStrike, windows, Microsoft system outage crash software update

    Shreds.AI Launches LLM Platform Trained for Software Engineering

    June 13, 2024

  • Grafana

    Building Catchpoint Into CI/CD Pipelines

    May 30, 2024

  • low/no code, platforms, ChatGPT, low-code, IT

    Exploring Low/No-Code Platforms, GenAI, Copilots and Code Generators

    April 18, 2024

  • monitor, costs, observability, Datadog, tools, tool, AI, vFunction, OpenTelemetry, observability, platforms, monitoring, Dora Metrics, DevOps, observability, SRE, challenges, data, data-driven, smart-driven, culture, pipeline, Observability, organizations, Data, - IBM - GitLab - APM - application performance - Instant

    How to Migrate an Observability Platform to Open Source

    April 16, 2024

  • DevOps, operations, multi-tenacy, database, transformation software DevOps

    A Brief History of DevOps and the Link to Cloud Development Environments

    March 29, 2024

  • monitor, costs, observability, Datadog, tools, tool, AI, vFunction, OpenTelemetry, observability, platforms, monitoring, Dora Metrics, DevOps, observability, SRE, challenges, data, data-driven, smart-driven, culture, pipeline, Observability, organizations, Data, - IBM - GitLab - APM - application performance - Instant

    Building an Open Source Observability Platform

    March 28, 2024

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

    Survey Surfaces Substantial Platform Engineering Gains

    March 27, 2024

  • database, reliability, observability, data, mobile, schema, database, tools, data, data management, Splunk, applications, incidents, observability, New Relic observability databases, deployments, Couchbase database New Relic Sumo Logic data CD Continuous delivery CData, platform engineering

    Survey Surfaces Lack of Significant Observability Progress

    March 27, 2024

  • product manager mindset, product, DevEx, developer, experience, Backstage, developer, GitHub productivity Roadie DevX developer experience DPE open source team lead Agile hybrid developer GitLab DevRel developer GitHub BDD CircleCI Rust developer

    Is Backstage the Right Internal Developer Portal for You?

    March 27, 2024

Previous123Next
  • Home
  • About
  • Media Kit
  • Sponsor Info
  • Terms of Use
  • Privacy Policy
Platform Engineering Logo

FOLLOW US

NEWSLETTER SIGN UP

© Techstrong Group, Inc. ALL RIGHTS RESERVED.
Page load link

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)

×
Go to Top