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制定强大的 AI 安全和治理计划.pdf

上传人: le****ng 编号:616632 2025-03-07 20页 1.82MB

1、Building an AI Security&Governance ProgramThibaut RoisinThibaut RoisinManaging Director,Security WELCOME AND INTRODUCTIONSJack BerkowitzJack BerkowitzCDOConfidential Presentation Under NDA -Do Not Distribute-No Screenshots PlsGen AIs annual potential impact across industries Gen AIs annual potential

2、 impact across industries$2.6$2.6-$4.4 trillion$4.4 trillionSource:McKinsey&CompanySource:McKinsey&CompanyBy 2026,organizations that operationalize artificial intelligence(AI)transparency,trust and security will see their AI models achieve a 50%50%improvement in terms of adoptionimprovement in terms

3、 of adoption,business goals and user acceptance.7%40%Source:WEF Global Cybersecurity outlook 2024,Goldman Sachs,Accenture:AI for Everyone but also reshape the threat landscape Most concerning Gen AI impacts on security(Source:Global Cybersecurity Outlook 2024,n=120)Will generative AI provide an over

4、all cyber advantage to the attackers or defenders in next 2 years?Gen AI Perception:Cyber advantage to attackers over enhancing defense(Source:Global Cybersecurity Outlook 2024,n=120)Gen AI is expected to power growth46%20%9%8%8%8%Advancement of adversarial capabilities phishing,malware development,

5、deep fakeData leaks exposure of personallyidentifiable info.through Gen AIIncreased complexity of security governanceTechnical security of the AI systems themselvesSoftware supply chain and codedevelopment risk potential backdoorsLegal concerns of intellectual property&liability123456Gen AI is predi

6、cted to boost global GDP by 7%over the next decade(Source:Global Cybersecurity Outlook 2024)And transform 40%of all working hours over the next decade(Source:Accenture:AI for Everyone)56%9%Yes,to AttackersYes,to DefendersResponsible AIResponsible AIAccentures Responsible AI principlesFor any enterpr

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本文主要讨论了人工智能(AI)的安全与治理问题。文章指出,到2026年,在AI模型中实施透明度、信任和安全的企业,其AI模型的采用率、商业目标和用户接受度将提高50%。同时,生成式AI预计将推动全球GDP增长7%,并改变所有行业的工作方式。然而,生成式AI也对网络安全构成了威胁,大多数受访者担心其在攻击者和防御者之间的不平衡。文章提出了一个由五步组成的AI安全与治理方法,包括发现和编目AI模型、评估AI模型风险、映射数据和AI流程、实施数据和AI控制以及遵守法规。最后,文章强调了在AI治理方面采取不同方法的重要性,并推广了AI驱动的网络安全解决方案。
"如何确保AI模型的合规性和安全性?" "AI模型如何影响全球GDP和劳动力市场?" "如何在AI治理中实现透明度和信任度?"
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