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New Startups Focus on Deepfakes, Data-in-Motion & Model Security

ID: f0094e60-a218-5ff5-91db-24b699927edc

STIX ID: report--f0094e60-a218-5ff5-91db-24b699927edc

Feed Name: Dark Reading

Date Published: 2025-01-14

Date Updated: 2026-04-21

Author: Paul Shomo

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A 2024 trend analysis noting a surge in deepfake-enabled impersonation and disinformation risks (including a reported deepfake CFO fraud that led to a $25M wire), alongside investor and startup focus on protecting data-in-motion and models. The piece stresses model data leakage as a critical emerging problem, renewed interest in reimagining DLP for non-human identities and app-level controls, and practical privacy approaches (privacy vaults, hybrid use of FHE, tokenization) as realistic paths forward despite FHE’s limitations.

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