FBI Reports AI Use by Threat Actors in Broader Cyber Context Including Infrastructure Intrusions
April 29, 2025
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Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MAP 4.1 — similarity 0.690, rank 1. TAIM detail and related incidents →
- MAP 4.2 — similarity 0.683, rank 2. TAIM detail and related incidents →
- MEASURE 2.6 — similarity 0.681, rank 3. TAIM detail and related incidents →
- Alleged deployer
- government-of-china, chinese-communist-party
- Alleged developer
- unknown-generative-ai-developers
- Alleged harmed parties
- united-states-critical-infrastructure, private-companies, government-agencies, employees-targeted-by-phishing, employees-targeted-by-deepfake-impersonations
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1055
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.