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