AI-powered identity security is emerging as a necessity as enterprises face hybrid IT complexity, credential theft, and AI-driven threats. Traditional IAM struggles with static rules and manual policies, but AI enables continuous verification, adaptive MFA, behavioral analytics, and autonomous threat response. CyberArk’s maturity model shows progression from policy-driven to context-driven to AI-optimized controls, where machine learning automates anomaly detection, risk scoring, and dynamic authorization. Future trends include predictive analytics, human–AI collaboration, and supply chain risk management, while addressing generative AI threats. This shift makes identity the control plane of zero trust, enhancing both resilience and user experience.

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