Zero Trust AI Authentication and Blockchain Powered Secure AI
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.
Authors
- R. K. Poongodi
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2025-02-04
- DOI
- https://doi.org/10.22214/ijraset.2025.66800
- Citations
- 1
- Primary Topic
- Blockchain Technology Applications and Security
- Type
- article
- Field-Weighted Citation Impact
- 3.25