About EdEconomy

EdEconomy publishes practical intelligence on banking fraud, AI risk, payment scams, instant payments, and financial-crime analytics.

Independent fraud analytics publication

EdEconomy publishes practical intelligence on banking fraud, AI risk, payment scams, instant payments, and financial-crime analytics.

The site is built for fraud analysts, risk leaders, banking analytics teams, payment professionals, and readers who want to understand how modern financial crime is changing in the AI era.

Author background

Who writes EdEconomy

EdEconomy is written by Dr.ES, a Doctor of Business Administration with a specialization in analytics and more than a decade of experience across banking, financial analytics, fraud prevention, operational risk, reporting modernization, and enterprise data strategy within large regulated financial institutions.

The goal is to translate complex fraud, AI, payments, and analytics topics into practical context that a working analyst, risk leader, or payment team can actually use.

Coverage

What EdEconomy covers

  • Banking fraud trends and typologies
  • AI-enabled scams and deepfake risk
  • Authorized push payment fraud
  • Mule account detection
  • Account takeover fraud
  • Instant payment fraud controls
  • Fraud analytics KPIs and dashboards
  • Human-in-the-loop AI investigation workflows
  • Fraud detection architecture
  • Fraud analyst education and career resources

Boundaries

What EdEconomy does not do

  • No legal, financial, tax, compliance, or investment advice
  • No confidential employer information
  • No generic AI content written only for search engines
  • No unsupported claims without credible public sources

Standards

Editorial standards and corrections

EdEconomy aims to publish clear, useful analysis that can be checked against public evidence. When a correction is needed, the corrections process is documented openly.

Why subscribe

Get practical updates on fraud, AI risk, and financial crime analytics.

The EdEconomy newsletter is for readers who want occasional, useful updates on banking fraud, payment scams, AI risk, and fraud analytics resources without daily noise.

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