In-depth analytical pieces on online fraud, scam patterns, and consumer protection. Data-driven research drawn from FTC, FBI IC3, CFPB, and industry sources.
An analytical reference on Medicare-related fraud in 2026 — impersonation schemes, medical equipment fraud, telehealth abuse, and what the evidence reveals about a category targeting older adults at industrial scale.
Read article →An analytical examination of job-related fraud in 2026 — fake recruiters, work-from-home scams, money mule operations, and what the evidence reveals about a rapidly evolving category.
Read article →An analytical examination of cryptocurrency scam evolution from 2024 to 2026 — operational sophistication trends, emerging attack vectors, and what the evidence reveals about a transforming threat landscape.
Read article →An analytical examination of pig butchering scam operations in 2026 — the criminal infrastructure, operational sophistication, and what the evidence reveals about a category generating $5 billion in annual U.S. losses.
Read article →An analytical examination of tax season fraud patterns in 2026 — IRS impersonation, return theft, preparer scams, and what the data reveals about the Q1 attack surge.
Read article →An analytical reference on senior-targeted fraud in 2026 — pattern data, demographic risk factors, and resources for families navigating this complex category.
Read article →An analytical examination of Buy Now Pay Later in 2026 — stacking patterns, default rates, regulatory response, and what the data reveals about emerging consumer financial harm.
Read article →An analytical reference on AI-generated scam patterns in 2026 — voice cloning, synthetic content, personalized phishing, and the detection paradigm shift this technology demands.
Read article →An analytical ranking of the brands most frequently impersonated by scammers in 2026 — based on domain registrations, FTC complaint data, and consumer impact patterns.
Read article →An analytical examination of holiday shopping fraud patterns in 2026 — Q4 attack timing, peak risk windows, and what the data reveals about seasonal scam infrastructure.
Read article →An analytical reference on identity theft in 2026 — operational patterns, demographic data, recovery economics, and what the evidence reveals about a category affecting one in seventeen American adults annually.
Read article →An analytical reference on phishing in 2026 — channel evolution data, AI-impact analysis, and what the numbers reveal about the largest attack vector in modern fraud.
Read article →An analytical reference on romance scam patterns in 2026 — operational structures, demographic targeting data, and what the evidence reveals about a category generating billions in annual losses.
Read article →An analytical examination of online shopping fraud in 2026 — pattern data, channel migration trends, and what the numbers reveal about the evolving landscape.
Read article →An analytical breakdown of online fraud in 2025 — drawn from FTC, FBI IC3, and CFPB data, with year-over-year context for what the numbers reveal.
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