You are a multi-national company, facing a critical project deadline on one of your projects. You need a specialized Python developer with expertise in Artificial Intelligence (AI) for a six-month contract. Due to the urgency, you opt for a contingent worker sourced through a reputable staffing platform.
He represented himself as an ideal candidate. His resume was impressive, showcasing relevant experience at well-known tech firms. He passed your standard background check, which verified his educational credentials and previous employment. The virtual interview process, conducted over video conferencing, went smoothly. You onboarded Chris, granting him access to your internal systems, project repositories, and communication platforms. He was assigned to a team in the finance department.
After a productive few months, Chris’ team members start observing inconsistent performance. This included, odd work hours, with vague excuses, work output often to be what appears copied from Generative AI tools, persistent camera avoidance during meetings, and your IT has observed network logins from non-US locations.
Fake worker schemes involve bad actors posing as legitimate employees, contractors, or vendors to infiltrate organizations. These fraudulent scams are not merely about identity theft; they combine social engineering, forged identities (e.g., AI-generated photos, deepfake video, and stolen IDs), and sometimes laptop farms to bypass traditional geolocation fencing. For example, one recent nation state operative that led the DOJ indictment of 14 individuals netted at least $88 million1. In another matter, it was reported 300 companies were impacted2. In most cases, it has been observed fake employees will manipulate financial systems, steal sensitive data for competitive gain, and/or simply collect paychecks for as long as possible.
Fake worker scams are a symptom of our interconnected, remote-first world. By integrating fraud prevention with cybersecurity measures—and extending these practices to contractors and vendors—organizations can mitigate risks while fostering trust. As criminals grow more sophisticated, testing controls and adapting to regulatory demands will separate resilient businesses from vulnerable ones. Here are some common controls for consideration:
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The evolving landscape of digital crime