Deepfake Candidates: How to Stop AI Hiring Fraud in 2026
Fake and AI-assisted candidates are 2026's #1 hiring threat. Here's how deepfake and proxy fraud works, the real numbers, and how to fraud-proof your pipeline.
Hiring strategies, product updates, and engineering insights.
Fake and AI-assisted candidates are 2026's #1 hiring threat. Here's how deepfake and proxy fraud works, the real numbers, and how to fraud-proof your pipeline.
A CS degree no longer proves a junior can code. Here's how to screen entry-level engineers with structured, AI-aware work samples that predict real ability.
Mobley v. Workday made AI hiring tools directly liable for discrimination. Here's what the ruling means for every ATS and what a defensible stack looks like.
Postings jumped 800% in nine months, yet exactly 0% carry a sales quota. Define, interview for, and pay the role without buying into title inflation.
93% of candidates freeze with interview anxiety, and algorithm trivia rewards memorization over skill. Try a four-pillar framework for the post-LeetCode era.
A single bad senior hire can exceed $250,000. Codify stages, rubrics, and progression gates in Git so no manager can quietly lower the bar.
A "2-3 hour" test that secretly eats 8-10 is why devs trash you on Reddit. Well-scoped ones hit 92% completion. Here are the seven design rules.
AI generates a gorgeous mockup in seconds, so polished screens prove nothing now. Score portfolios for judgment, run a five-stage loop, benchmark 2026 pay.
The best backend engineers never see your job post: 67% are employed and not looking. Source them, assess with real work, and beat slower competitors.
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