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保障未来:在云安全中利用人工智能和世代人工智能.pdf

上传人: 可*** 编号:991817 2025-12-07 14页 3.11MB

1、Securing the Future:Leveraging Securing the Future:Leveraging AI and GenAI in Cloud SecurityAI and GenAI in Cloud SecurityCombating emerging threats with intelligent defense strategies for modern cloud environmentsAdvait PatelAdvait PatelSANS CloudSecNext Summit 2025About MeAbout MeAdvait PatelAdvai

2、t PatelSenior Site Reliability Engineer at BroadcomSenior Site Reliability Engineer at BroadcomSpecializing in Zero Trust security,cloud infrastructure,and DevSecOps with over 8 years of experience securing cloud-native environments and AI workloads.IEEE Leadership:IEEE Leadership:Region 4 Large Sec

3、tion Support ChairPublished Author:Published Author:IAM&Security for Google Cloud PlatformIndustry Contributor:Industry Contributor:OWASP GenAI Security founding memberCreator of DockSec:Creator of DockSec:AI-powered Docker Security AnalyzerBook Author:Book Author:Books on AI,Cloud,and Security publ

4、ished with Wiley,Springer Nature,and ApressConference Speaker:Conference Speaker:Regular speaker at RSA Conference,Black Hat,and DEF CON on AI in securityTechnical Articles&Publications:Technical Articles&Publications:Contributor to various industry journals and online platforms ISACA,ISSA,CSA,Hacke

5、rnoon,The New Stack The Cloud Security EvolutionThe Cloud Security EvolutionTraditional SecurityTraditional SecurityPerimeter-based defenses,static rules,manual processesCloudCloud-Native SecurityNative SecurityDynamic environments,container security,microservices protectionAIAI-Powered SecurityPowe

6、red SecurityIntelligent threat detection,automated response,predictive defenseModern cloud environments demand a fundamental shift in how we approach security,moving from reactive to proactive,intelligence-driven defense strategies.Todays Cloud Security Todays Cloud Security ChallengesChallengesScal

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根据报告的内容,全文主要内容概括如下: - **云安全演变**:从传统安全到云原生安全,再到AI驱动的安全,强调从被动防御到主动预测防御的转变。 - **挑战**:多云环境、AI/ML工作负载风险、DevOps速度加快带来的安全挑战。 - **GenAI安全革命**:利用生成式AI进行智能威胁检测、自动化响应和预测防御。 - **LLMSecOps**:将AI特定安全实践整合到机器学习生命周期中,确保模型安全。 - **云原生架构安全**:容器和Kubernetes安全,包括图像安全、运行时保护和网络安全。 - **对抗性AI攻击防御**:对抗性示例、模型中毒和推理攻击的防御策略。 - **零信任架构**:在AI驱动的云环境中实施零信任框架。 - **合规与治理**:确保AI系统符合全球标准,建立AI治理框架。 - **安全文化**:建立以安全为首要的AI文化,包括组织变革管理、安全意识培训和安全倡导者。 核心数据: - "多多云环境中的微服务、容器和无服务器函数数量呈指数级增长,这为传统安全工具带来了难以有效监控的攻击面。" - "AI驱动的安全方法将我们的安全态势从被动灭火转变为主动威胁预防。"
"AI如何守护云安全?" "LLMSecOps如何提升安全?" "零信任架构在AI时代有何意义?"
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