Perspectives On Security For The Board: Edition 2

The Board’s Role in Cloud Adoption

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New proposed SEC regulations, the rapid rise and adoption of AI, and ongoing global cybersecurity threats and challenges are putting increased pressure on executives and board members to recognize and address these potential risks to their organizations.

Read the second edition of Perspectives on Security for the Board, published by Google Cloud’s Office of the CISO to learn more about our latest insights:

  • How the board’s role and responsibilities in cloud security and adoption are changing
  • What steps boards can take to navigate the evolving threat landscape. See examples of recent real-world vulnerability incidents and how Mandiant (now a part of Google Cloud) addressed them.
  • Learn more about our actionable, AI security framework that boards can use to help ensure their organizations use AI in a responsible way.

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A board security expert shouldn’t be out to ask ‘stump the chump’ questions to the CISO

— Karenann Terrell, Technology Advisor & Google Cloud Advisory Board
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  • 2 月 17 日
    EP1: Security in Google Cloud Platform

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    EP2: Networking in Google Cloud

    本培訓課程將帶您瞭解 Google Cloud 網路連結相關選項及細節,並探索如何部署 Google  Cloud 網路連結技術。


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EP3: Architecting with Google Compute Engine

  • 3 月 24 日
    EP3: Architecting with Google Compute Engine

    本培訓課程將帶您瞭解 Google Cloud 具高度彈性的基礎架構及平台服務,並著重於 Google Compute Engine


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  • 4 月 14 日
    EP4: Getting Started with Google Kubernetes Engine

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EP5: Google Cloud Big Data & Machine Learning Fundamentals

  • 5 月 12 日
    EP5: Google Cloud Big Data & Machine Learning Fundamentals

    本培訓課程將帶您瞭解 Google Cloud 大數據及機器學習產品及服務,進而支援「數據到人工智慧」的生命週期。


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EP6: Logging, Monitoring and Observability in Google Cloud

  • 5 月 26 日
    EP6: Logging, Monitoring and Observability in Google Cloud

    本培訓課程將帶您瞭解如何監測、排除阻礙並改善基礎架構及應用程式的效能。


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  • 6 月 9 日
    EP7: Data Engineering on Google Cloud Platform

    本培訓課程將帶您瞭解如何在 Google Cloud 上設計並建立資料處理系統、分析資料及部署機器學習。本課程涵蓋結構、非結構及串流資料領域。


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EP8: From Data to Insights with Google Cloud Platform

  • 6 月 30 日
    EP8: From Data to Insights with Google Cloud Platform

    本培訓課程將帶您瞭解 Google Cloud 的無伺服器式、高度可擴展性且費用合理的雲端資料倉儲 BigQuery,分析資料進而獲得獨到見解。。


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  • 7 月 21 日
    EP9: Developing Applications with Google Cloud

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  • 8 月 18 日
    EP10: Application Development with Cloud Run

    本培訓課程將帶您瞭解透過 Google Cloud Run 執行雲端原生應用程式開發的基礎、做法、技術能力及相關工具。


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    Browny Lin
    Google Cloud Certified Instructor
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Agenda

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    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
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  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:40 AM–12:40 PM
    Lunch
  • 12:40 PM–01:00 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:00 PM–01:20 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:20 PM–01:40 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:40 PM–02:40 PM
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  • 2:40 PM–03:40 PM
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    Registrations
    Registrations
  • 9:30 AM–09:40 AM
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    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ

Agenda

Track 1

Track 2

  • 8:30 AM–09:30 AM
    Registrations
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
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    Pushing the limits of BigQuery with Kabam
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