Ongoing Purported AI-Assisted Identity Fraud Enables Unauthorized Access to Western Companies by North Korean IT Workers
January 1, 2021
These incidents underscore the importance of trustworthy AI and responsible AI governance, as well as safe and secure AI practices. For those interested in shaping the future of AI incident management and promoting harm prevention, we invite you to join the HISPI Project Cerebellum TAIM initiative (Govern function). Help establish guardrails for AI, contributing to an AI incident database that fosters a safer digital landscape.
JOIN US
Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MAP 4.1 — similarity 0.656, rank 1. TAIM detail and related incidents →
- GOVERN 2.2 — similarity 0.655, rank 2. TAIM detail and related incidents →
- MAP 1.6 — similarity 0.643, rank 3. TAIM detail and related incidents →
- Alleged deployer
- yang-di, waterplum, wagemole, void-dokkaebi, unc5267, son-un-chol, sok-kwang-hyok, sim-hyon-sop, rim-un-chol, ri-kyong-sik, reconnaissance-general-bureau, purplebravo, north-korean-threat-actors, minh-phuong-ngoc-vong, matthew-isaac-knoot, lazarus-group, ko-chung-sok, kim-ye-won, kim-sang-man, kim-ryu-song, kim-mu-rim, jong-song-hwa, jong-kyong-chol, jang-chol-myong, hyon-chol-song, gwisin-gang, government-of-north-korea, famous-chollima, department-53, contagious-interview, christina-chapman, choe-jong-yong, cho-chung-pom
- Alleged developer
- unknown-large-language-model-developers, unknown-deepfake-technology-developers, openai
- Alleged harmed parties
- western-companies, web3, ssa, social-security-administration, recruitment-teams, oleksandr-didenko, macos-users, jiho-han, irs, interviewees, internal-revenue-service, human-resources-staff, hiring-managers, haoran-xu, employers, developers, cryptocurrency-platforms, companies-in-the-united-states, chunji-jin, blockchain-projects, andrew-m., epistemic-integrity, truth, national-security-and-intelligence-stakeholders
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1118
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.