About

Built by someone who sees this every day.

PaySentinel was created by a fraud analyst with direct experience investigating payment fraud, account takeovers, counterfeit card activity, ATM compromise, and phishing — the exact threats targeting small businesses right now.

"As a fraud analyst focused on payment fraud, account takeovers, and phishing, I see these patterns every day. Small businesses face the same threats as large financial institutions — but without any of the tools. I built PaySentinel to change that."
Areas of expertise behind the detection logic
💸
Payment fraud
Wire fraud, ACH redirect, invoice manipulation, and business email compromise schemes.
🔐
Account takeovers
Credential theft, session hijacking, and unauthorized access to financial and email accounts.
💳
Counterfeit card activity
Card skimming, cloning, and fraudulent transaction patterns across payment networks.
🏧
ATM compromise
Physical and logical ATM attacks, skimmer placement patterns, and cash-out operations.
🎣
Phishing
Spear phishing, domain spoofing, lookalike sites, and credential harvesting campaigns.
👻
Phantom vendor schemes
Fake company creation, fabricated invoices, and vendor impersonation targeting AP teams.

Why we built this.

The fraud detection tools that exist today were built for banks, fintech platforms, and enterprise AP teams — organizations with dedicated fraud operations, developer resources, and six-figure software budgets. They are genuinely powerful, and completely inaccessible to a 15-person manufacturing company or a solo bookkeeper managing payments for a handful of clients.

The result is a gap that fraudsters exploit specifically. Business email compromise attacks — which target payment processes at small businesses — cost US businesses over $2.7 billion in 2024 according to the FBI's Internet Crime Complaint Center. The average loss per incident was over $19,000. And the fraud patterns behind these attacks are well understood. They're the same patterns investigators see in case after case.

PaySentinel encodes that investigator knowledge into a tool that anyone can use before sending a payment — no technical setup, no enterprise contract, no developer needed. You paste in the details, you get a risk score and specific red flags in under a minute.

Our mission
Give every small business access to the fraud detection logic that financial institutions use — without the enterprise price tag or the engineering team.

What PaySentinel is and isn't.

PaySentinel is a pre-payment fraud check tool. You bring it a vendor, invoice, email, or routing number — it analyzes what you provide against known fraud patterns and tells you what it finds. It doesn't monitor your bank accounts, doesn't connect to your accounting system, and doesn't replace calling the vendor directly to confirm payment details.

It's designed to be the last thing you do before hitting send on a wire transfer. A structured, consistent check that catches the red flags that manual review misses under time pressure — changed routing numbers, typosquat email domains, structuring amounts, phantom vendor signals, BEC language.

The detection logic is built from real cases. Not generic AI trained on text — specific patterns from specific fraud types, built by someone who has investigated them.

Who it's for.

AP clerks and bookkeepers who process payments for small businesses and need a consistent, documented process for verifying vendors before wires go out.

Office managers at small businesses who handle payments without a dedicated finance team — and who are exactly the people fraudsters target with BEC and invoice redirect schemes.

Solo business owners who manage their own payments and want a quick sanity check before committing to a wire or a new vendor.

If you work at a 500-person company with a dedicated AP department and an ERP system, there are enterprise tools built for you. PaySentinel is for everyone else.

Try it before your next payment.

Free for 10 checks per month. No account, no setup — paste in the details and get a risk score in under a minute.

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