In the evolving cyber threat landscape, traditional security models are insufficient, leading to the need for robust frameworks like Zero Trust Network Access (ZTNA). ZTNA operates on the principle of continuous verification rather than trust, emphasizing identity, microsegmentation, least-privilege access, and continuous monitoring. Artificial Intelligence (AI) and Machine Learning (ML) play pivotal roles in enhancing ZTNA by improving threat detection, dynamic access control, policy management, user experience, compliance facilitation, and predictive security
Despite challenges like data quality, model training, system integration, and ethical considerations, investing in AI/ML technologies can significantly strengthen security postures and better protect organizations in the face of increasing cyber threats. ```https://cloudsecurityalliance.org/articles/ai-and-ml-for-adopting-implementing-and-maturing-zero-trust-network-access