#fraud-detection
Identify and prevent financial fraud with monitoring and controls
How small businesses can detect and deter occupational fraud — using the ACFE fraud triangle, segregation of duties, surprise audits, management review, and proactive data monitoring — with a 90-day plan tailored to a 20-person organization.
A five-step payment reconciliation workflow that catches fraud, cleans up cash flow, and keeps books audit-ready—citing 2026 AFP data showing 76% of organizations faced payment fraud in 2025.
The FTC received 278,000+ debt collection complaints in 2025. Learn 7 red flags that signal a fake debt collector, how to verify legitimacy, your FDCPA rights, and what to do if you've been targeted — including specific protections for small business owners.
IRS impersonation fraud cost Americans over $114 million between 2013 and 2025, with average victims losing more than $32,000. Learn the 9 warning signs of a fake IRS letter, what legitimate IRS notices look like, and the exact steps to take if you receive a suspicious letter.
Банковото извлечение обобщава всеки депозит, теглене, такса и промяна в баланса по вашата сметка за определен период. Това ръководство обхваща как да четете всеки раздел, как да съпоставяте извлеченията с книгите си, как да откривате измами рано и как да съхранявате записи за съответствие с IRS.
Your books say $18,450. Your bank says $16,200. Which is right? Bank reconciliation closes that gap—and it's the most effective way small businesses catch fraud before it compounds.
Learn how integrating artificial intelligence with plain-text accounting systems like Beancount.io enhances financial security by identifying subtle fraud patterns that traditional methods often miss.
Learn how AI-powered anomaly detection transforms plain-text accounting by enhancing error detection and maintaining transparency, addressing the critical vulnerabilities in financial systems.
Intelligent transaction validation is reshaping financial data accuracy. Learn how AI-powered confidence scoring enhances plain-text accounting systems like Beancount, transforming them into advanced fraud detection tools while balancing automation with human oversight.
