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Security in AI Healthcare agents: Top 10 LLM attack prompts

ID: f127dfcc-fbd9-5cd2-84c9-4ffa8da14ac3

STIX ID: report--f127dfcc-fbd9-5cd2-84c9-4ffa8da14ac3

Feed Name: Giskard

Threat Score
60/100

Date Published: 2026-03-12

Date Updated: 2026-07-28

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This white paper documents the ten most critical security attacks targeting healthcare LLM deployments, describing adversarial probes (prompt injection, CoT forgery, Crescendo multi-turn jailbreaks, etc.) and the resulting risks—facilitating medical fraud, evading regulatory/compliance controls, generating harmful clinical hallucinations, and exposing PHI—and aims to map the attack surface for healthcare AI workflows to inform mitigation priorities.

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