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사이버보안을 위한 AI

Empowering Defenders AI for Cybersecurity

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World Economic Forum
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2026.05.04 · 발행처 페이지에서 확인
원문 언어
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사이버보안보안AI 방어cybersecuritydefenders

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In collaboration with KPMG

Empowering Defenders:
AI for Cybersecurity

W H I T E P A P E R
M A Y  2 0 2 6

Images: Getty Images

Contents


Foreword                                                     3

Executive summary                                              4

Introduction                                                    5

1 Present-day uses of AI in cybersecurity                             7

    1.1 AI-driven cyber governance                                 8

    1.2 AI-enabled risk identification                                 9

    1.3 AI-augmented cyber protection                             11

    1.4 AI-powered threat detection                                14

    1.5 AI-orchestrated incident response                           17

    1.6 AI-supported incident recovery                              20

2 Important considerations for AI adoption in cybersecurity               21

    2.1 How does the adoption of AI for cybersecurity align with          22
       and accelerate strategic priorities?

    2.2 Is the organization ready to deploy AI in cybersecurity            22
         effectively?

    2.3 How can the organization validate AI solutions before            24
            full deployment?

    2.4 How best to scale and maintain AI solutions while ensuring        25
        continuous optimization?

3 The evolving landscape of AI in cybersecurity                        26

    3.1 The opportunity of agentic AI                               26

    3.2 Unpacking the spectrum of AI autonomy                      26

    3.2 Agentic AI risks and guardrails                              27

Conclusion                                                   28

Contributors                                                  29

Endnotes                                                     33





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or interaction. The findings, interpretations and
conclusions expressed herein are a result of a
collaborative process facilitated and endorsed by
the World Economic Forum but whose results do
not necessarily represent the views of the World
Economic Forum, nor the entirety of its Members,
Partners or other stakeholders.
© 2026 World Economic Forum. All rights reserved.
No part of this publication may be reproduced or
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