Dedicated payment fraud prevention vs ERP controls and email security

Business payment fraud is usually fought with two incumbent controls: email security, which tries to stop the fraudulent message from arriving, and ERP/AP controls — approval chains, segregation of duties, vendor master data checks — which try to stop a bad payment from executing. Dedicated payment fraud prevention takes a third position: it watches the payment flow itself, end to end, correlating vendor behavior, emails, files and payment details to catch the fraud that both incumbents miss precisely because it looks legitimate to each of them in isolation.

A convincing bank-detail change passes email security (it is often a real, compromised mailbox) and passes ERP controls (the invoice is real, the approver approves). Only a system correlating the whole flow sees that the pattern is wrong.

// Side by side

Dedicated payment fraud prevention vs ERP controls + email security.

Criterion Dedicated payment fraud prevention ERP controls + email security
Business email compromise (BEC) detection ✓ Yes Correlates message context with vendor behavior and payment data — the full picture. ◐ Partial Email security catches much BEC, but compromised-real-mailbox attacks look clean.
Vendor bank-detail change verification ✓ Yes Continuous vendor identity validation and change monitoring — the classic redirection vector. ◐ Partial Typically a manual call-back procedure; effective when followed, brittle in practice.
Duplicate & erroneous payment detection ✓ Yes Anomaly detection before execution; errors cost as much as fraud. ◐ Partial ERP matching catches exact duplicates; near-duplicates and anomalies less so.
Cross-system correlation (email + vendor + payment) ✓ Yes The category’s reason to exist: signals joined across the whole flow. — No Each incumbent sees only its own slice; the fraud lives in the seams.
Insider manipulation of payment data ✓ Yes Behavioral analysis applies to internal changes, not just external senders. ◐ Partial Segregation of duties helps; collusion and privileged access defeat it.
Process friction added ✓ Yes Deploys alongside the existing AP workflow; no re-engineering (Trustmi design goal). ◐ Partial Stronger manual controls usually mean slower payments and more exceptions.
Foundational compliance controls ◐ Partial Complements, does not replace, segregation of duties and approval policy. ✓ Yes ERP controls remain the required baseline for auditors regardless.

Methodology & disclosure: this page compares product approaches, not named competitor products. Approach characteristics reflect how each category of technology works by design, based on public vendor documentation and standard industry architecture. Trustmi capabilities are taken from the vendor's public materials (linked on our Trustmi page). Cyberdis is a value-added distributor of Trustmi — that affiliation is disclosed here deliberately, and we have aimed to represent both approaches fairly, including where the incumbent approach is the better fit.

How dedicated payment fraud prevention works

Trustmi connects across the payment flow — vendor master data, invoices, emails, files, payment instructions — and continuously analyzes those signals together. Business email compromise, vendor impersonation, account takeover, insider manipulation and honest human error all surface as anomalies in the correlated flow, and get stopped before funds move.

Founded in 2021 by Shai Gabay and Eli Ben Nun and backed by Cyberstarts and Insight Partners, Trustmi reports protecting more than $240 billion in payments annually — deployed alongside the ERP and AP process finance teams already run.

How the incumbent stack works

Email security filters malicious messages at the perimeter; ERP and AP controls enforce approval chains, segregation of duties, three-way matching and vendor-master hygiene. Both are necessary: auditors require the ERP control baseline, and email security removes enormous volumes of commodity phishing.

Neither, however, was designed for fraud that is procedurally correct — a genuine invoice from a compromised vendor mailbox with quietly changed bank details clears both. That seam is where most large payment-fraud losses actually happen.

Add dedicated payment protection when…

  • Your payment volumes or amounts make a single redirected payment a board-level incident.
  • Vendor-detail changes are verified manually today (call-backs, spreadsheets).
  • Finance and security own fraud jointly and need one system both can trust.
  • Duplicate and erroneous payments are a recurring, quantifiable loss.

Incumbent controls alone may suffice when…

  • Payment volumes are small enough that manual verification genuinely happens every time.
  • The vendor base is tiny, static and personally known to the finance team.
  • Regulatory baseline compliance is the only current driver.

// In the Cyberdis portfolio

Where Trustmi fits

Trustmi is the payment-security vendor in the Cyberdis portfolio — and for resellers, a rare product that opens the CFO conversation. Cyberdis connects Trustmi to a real payment workflow during the PoC so finance and security stakeholders see the value in their own data, then handles the ERP and email integrations to production.

Explore Trustmi

// FAQ

Common questions.

Does payment fraud prevention replace our ERP controls?

No — ERP controls (approval chains, segregation of duties, matching) remain the audit-required baseline. Dedicated payment protection layers correlation on top, catching the fraud that is procedurally correct and therefore invisible to those controls.

We already have strong email security. Why do payments still get redirected?

Because the highest-loss attacks arrive from genuinely compromised vendor mailboxes with legitimate-looking invoices. There is nothing malicious for the email filter to detect; the fraud only becomes visible when the message is correlated with vendor behavior and payment details.

Will it slow down our accounts-payable process?

Trustmi deploys alongside the existing AP workflow rather than re-engineering it — the design goal is protection without added approval friction; interventions occur on anomalies, not on every payment.

Related: AI-powered IAM automation vs consulting-led implementation

// Next step

Prove it in your environment.

A Cyberdis engineer will run the Trustmi proof of concept against your real scenario — and tell you honestly what they find.