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Human Digital Twins Could Give Attackers a Dangerous Advantage

ID: c5d72b94-7a7b-5ab5-a938-12dbfd5640d3

STIX ID: report--c5d72b94-7a7b-5ab5-a938-12dbfd5640d3

Feed Name: Dark Reading

Date Published: 2025-07-21

Date Updated: 2026-04-21

Author: Arielle Waldman

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Human Digital Twins (HDTs) — real-time, predictive virtual clones trained on an individual's behavioral and psychological data — present a growing security risk: attackers could use HDTs to craft hyper-personalized social-engineering campaigns, simulate victims to test attack variants, and impersonate people more convincingly than current deepfakes. The article highlights detection challenges, the amplification of risk from large-scale data breaches that expose voice and behavioral traces, and urges awareness as HDTs become more widespread in consumer and enterprise platforms.

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