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
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.
Your team is not currently subscribed to this feed. You must subscribe to it in order to see this post.
