
Most employers now say they practice skills based hiring, and most job postings have quietly dropped the “bachelor’s degree required” line. But the data on actual hires tells a different story. Across multiple 2026 analyses, the share of new hires who are non degreed candidates has barely moved, even at companies that formally removed degree […]

Candidates are showing up to video interviews and coding tests with ChatGPT open on a second screen, running in voice mode through an earpiece, or feeding them answers through an invisible overlay window. This is ChatGPT interview cheating: real time AI assistance during a live interview, not identity fraud or a fake candidate. Here is […]

Yes, but only partially, and usually only if you already had reasonable verification controls in place before the loss happened. There is no single retail insurance product actually called “hiring fraud insurance.” Instead, coverage for the financial fallout of a fraudulent hire is scattered across several policies many companies already own: commercial crime insurance and […]

AI proctoring does not have to feel invasive to candidates. The friction candidates report almost never comes from the security measure itself, it comes from monitoring that is unexplained, disproportionate to the role, or reviewed without a human in the loop. Done well, AI proctoring protects assessment integrity while candidates barely notice it, because they […]

New hire onboarding fraud happens when the person who shows up to actually work the job is not the same person a company verified, interviewed, and hired. It is a distinct risk from pre hire screening fraud because it surfaces after the offer letter is signed, often on day one or weeks into the job, […]

Identity verification confirms that a candidate is a real, unique person who matches the ID document and face they submitted. A background check searches public and institutional records to see what that already confirmed person has actually done. They answer two different questions, and most hiring processes that only run one of them have a […]

Verifying candidates across borders means confirming that a job applicant is who they claim to be even when their government issued ID, home country, time zone, and native language are all different from the recruiter reviewing their application. It is harder than domestic verification because there is no single ID format, no shared database, and […]

Synthetic identity fraud in hiring happens when someone builds a job candidate instead of being one, blending a real Social Security number or stolen document with a fabricated name, a generative AI face, and a scripted background, so the “person” who interviews and gets hired never actually existed as a single, real individual. It is […]

A diploma mill is an unaccredited operation that sells degrees or certificates for a flat fee, little or no coursework, and almost no academic oversight, and the fastest way to catch one is to verify education claims directly with the issuing school rather than trusting the document a candidate submits. Fake degrees are no longer […]

Nation state hiring fraud is when a government backed operative uses a stolen or fabricated identity to get hired into a normal remote job, most often in IT, so that their wages, and sometimes the access that comes with the role, can be funneled back to a sanctioned regime. The best documented version of this […]

A bad hire typically costs somewhere between 30 percent and over 200 percent of that employee’s first year salary, once you count recruiting, onboarding, lost productivity, and the cost of doing the search again. When the bad hire is the result of candidate fraud (a faked skill set, a proxy interview, a stolen identity, or […]

AI proctoring catches more total instances of cheating across a large candidate pool because it monitors every single test taker the same way, without fatigue, distraction, or inconsistency. Human proctoring catches fewer incidents overall, but a trained human is still better at reading ambiguous, context heavy situations that automated systems can misjudge. For most hiring […]