<ul><li>Fully Homomorphic Encryption (FHE) is seen as a promising solution for balancing data privacy and threat intelligence sharing.</li><li>Challenges faced in implementing FHE for real-time scam prevention include AI compatibility limitations and performance bottlenecks.</li><li>AI Compatibility Limitations: FHE struggles with nonlinear operations and scalability of encrypted search, adding computational overhead.</li><li>Performance Bottlenecks: FHE operations are significantly slower than plaintext equivalents and impractical for large models, hindering real-time use cases.</li></ul>

Fully Homomorphic Encryption (FHE) & AI & EU Privacy Regulations: Limitations and Opportunities in…

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