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零信任人工智能在勒索软件防御中的应用——重塑风险管理.pdf

上传人: 可*** 编号:991912 2025-12-07 12页 723.88KB

1、Zero Trust AI in Ransomware Defense:Reinventing Risk ManagementPresented by Jessica DapeloZero Trust AI in Ransomware Defense:Reinventing Risk Management by Jessica Dapelo“This isnt just about firewalls and backupsits about trust boundaries,automated resilience,and human-in-the-loop systems that ada

2、pt in real time.”Zero Trust AI in Ransomware Defense:Reinventing Risk Management by Jessica DapeloOverview:What Is Ransomware?Ransomware is a type of malware that encrypts a victims files or systems,with attackers demanding payment(usually in cryptocurrency)to restore access.It has evolved from oppo

3、rtunistic attacks to sophisticated,multi-stage operations often backed by nation-state actors or organized cybercrime syndicates.The Rising Threat of Ransomware71%of organizations were hit by ransomware in 2024(Source:Sophos)$10.5B predicted global damage by 2025(Source:Cybersecurity Ventures)Evolvi

4、ng tactics:double extortion,AI-generated phishingThe Ransomware RealityLimitations of Traditional SecurityPerimeter-based trust modelsStatic rules,reactive responseInsider threats and lateral movementWhy Traditional Models FailWhat is Zero Trust?Never trust,always verifyEnforce least-privilege acces

5、sContinuous authentication and monitoringZero Trust DefinedThe Power of AI in Cyber DefenseAnomaly detection in real-timePredictive threat modelingAutomated response and containmentRole of AI in Ransomware DefenseMerging Zero Trust and AIDynamic access decisions based on AI analysisContinuous risk s

6、coring of users/devicesIntelligent enforcement of Zero Trust policiesZero Trust+AI:A Resilient FrameworkRole of AI in Ransomware DefenseThe Power of AI in Cyber DefenseAnomaly detection in real-timePredictive threat modelingAutomated response and containmentRo

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根据《Zero Trust AI in Ransomware Defense: Reinventing Risk Management》一文,以下是全文关键点: 1. ** ransomware 挑战**:2024年,71%的组织遭受了勒索软件攻击,预计到2025年全球损失将达到105亿美元。 2. **传统安全局限性**:基于边界的信任模型和静态规则无法有效应对内部威胁和横向移动。 3. **Zero Trust 概念**:永不信任,始终验证,实施最小权限访问,持续认证和监控。 4. **AI 在网络安全中的作用**:实时异常检测、预测性威胁建模、自动响应和遏制。 5. **Zero Trust + AI**:结合动态访问决策、持续风险评分和智能执行Zero Trust策略,构建弹性框架。 6. **实施步骤**:评估资产和风险、网络分段、部署AI检测、集成监控和响应、定期测试和优化策略。 7. **最佳实践**:文化转变、高质量数据、定期进行勒索软件准备性测试、采用混合模型。
如何革新反勒索软件防御?" "AI助力,零信任策略如何应对勒索软件?" "迈向AI零信任,风险管理新篇章!"
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