AI-Enhanced Zero-Trust Email Migration Framework
Keywords:
zero-trust, email migration, anomaly detection, content classification, transformer modelsAbstract
The objective of this paper is to presents a secure policy-driven mailbox transition across platforms based on AI-enhanced Zero-Trust Email Migration Framework which is integrated with transformer-based content classification and behavioural anomaly detection. This is achieved by using transformer-based content classification and behavioural anomaly detection. This architecture allows adaptive access controls which is based on authentication anomalies and enforces strict inspection of API call behaviour.
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