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Abstract
The integration of Zero Trust (ZT) security models with Artificial Intelligence (AI) authentication mechanisms, along with the utilization of blockchain technology, offers a novel paradigm for securing digital interactions and data exchanges in increasingly decentralized and complex networks. Zero Trust, a security framework that assumes no implicit trust and enforces strict identity verification, is well-suited for AI-driven authentication systems that require robust, real-time, and adaptive security measures Blockchain technology further enhances this framework by providing a transparent, immutable ledger for logging authentication events, access control decisions, and transactions, ensuring tamper-proof audit trails. Blockchain’s decentralized nature also mitigates single points of failure, improving resilience and privacy. When combined, Zero Trust, AI, and blockchain can deliver an advanced, self-evolving security system that both anticipates and responds to new threats with greater precision and efficiency.
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