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SANS360——演进零信任驾驭人工智能的力量.pdf

上传人: 可*** 编号:991799 2025-12-07 8页 159.98KB

1、Evolving Zero Trust:Harnessing the Power of AIExploring how Artificial Intelligence(AI)is reshaping the Zero Trust security model to address emerging threatsby Gaurav MehtaDefining Zero Trust SecurityCybersecurity FrameworkZero Trust operates on the mantra never trust,always verify.No Default TrustN

2、o entity,inside or outside the network,is trusted by default.Rigorous Authentication and ValidationEvery user,device,and application must undergo authentication and continuous validation.Zero Trust addresses the challenges posed by the rise of remote workforces and the inadequacy of traditional peri

3、meter-based defenses,especially against insider threats.Core Tenets of Zero Trust Identity VerificationContinuous authentication of users and devices Least Privilege AccessGranting minimal necessary access rights Micro-SegmentationDividing networks into isolated segments to limit lateral movement of

4、 threats Continuous MonitoringOngoing analysis of network activities to detect anomaliesAI as a Double-Edged SwordAI as an AssetAI enhances Zero Trust by enabling dynamic,adaptive security tools.AI-driven threat detection can analyze vast datasets in real-time,identifying anomalies faster than human

5、 analysts.AI as a LiabilityConversely,malicious actors leverage AI to automate reconnaissance,craft convincing phishing attacks,and even manipulate AI-driven security systems.These developments introduce new vulnerabilities that traditional Zero Trust models were not designed to address.The Role of

6、AI in Enhancing Zero TrustBehavioral AnalyticsAI analyzes user and entity behaviors to establish baselines,enabling the detection of anomalies that may indicate security threats.Adaptive Access ControlsAI-driven systems adjust access permissions in real-time based on contextual factors such as user

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1. **Zero Trust Security Model**: Emphasizes 'never trust, always verify', with no default trust and rigorous authentication for all users, devices, and applications. 2. **Core Tenets**: Identity verification, least privilege access, micro-segmentation, and continuous monitoring. 3. **AI in Zero Trust**: Enhances security with dynamic tools, behavioral analytics, adaptive access controls, and automated threat detection. 4. **AI Risks**: Malicious actors use AI for reconnaissance, phishing, and manipulating security systems. 5. **AI-Driven Zero Trust Architecture**: Includes risk assessment, AI-powered monitoring, dynamic policy enforcement, and automated incident response. 6. **Cybersecurity Battle**: AI creates a feedback loop with AI-driven attacks and sophisticated phishing, escalating the cyber battlefield. 7. **Opportunities and Challenges**: AI offers opportunities for robust protection but also presents challenges in cybersecurity.
"AI如何助力零信任安全?" "零信任架构中的AI挑战" "AI驱动下的网络安全战场"
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