Key Takeaways
Amazon has identified and blocked more than 1,800 suspected North Korean (DPRK) nationals attempting to secure remote IT positions with the company since April 2024, with DPRK-affiliated application detection rates rising by 27% quarter over quarter this year. Central to Amazon's approach is the combination of AI-driven analytics and rigorous human verification.Â
Amazon’s Chief Security Officer attributes this success to the integration of advanced AI-driven models that analyze job applications for links to nearly 200 high-risk institutions, subtle anomalies, and inconsistencies in applicant data, such as unusual educational backgrounds or deviating geographic details.
Stephen Schmidt, Senior Vice President & Chief Security Officer at Amazon, detailed on social media that, regarding the IT worker schemes:
The AI system evaluates connections and suspicious patterns, backed by background checks, credential verification, and structured interviews conducted by Amazon's security team.Â
Amazon’s continuous monitoring allows the company to track emerging trends in applicant profiles and evasion tactics, including those related to DPRK, such as the attempts to hijack dormant LinkedIn accounts and manipulate educational histories.Â
The U.S. sanctioned four individuals in relation to the IT worker scheme network funding North Korea's weapons programs in August. In July, U.S. authorities announced arrests and indictments, followed by an American resident sentenced for leading a $17 million IT worker fraud scheme.
In October, TechNadu reported that North Korea's IT worker scheme expanded to the UK, Canada, and Germany, while North Korean threat actors posed as IT specialists targeting Europe.