An AI vendor impersonation detection agent compares the sender address, domain and display name with the contacts on the vendor record, and catches look-alike domains and new senders using a known supplier's name.
An invoice or email arrives claiming to be a supplier.
The agent compares sender, domain, style and details.
It tests details against the real vendor record.
A vendor admin contacts the real supplier.
Fake items are blocked; real ones continue.
Patterns are reported to security.
It reads the message and the invoice for signs such as unusual urgency, a request for secrecy, a changed contact path or a document that differs from the supplier's usual style.
It labels the item as suspected impersonation with the reasons, and holds it for a person to verify with the real supplier.
Impersonators succeed because the request looks ordinary and the person receiving it has no easy way to compare it with the real supplier.
One swapped letter is easy to miss.
Attackers copy contact names and signatures from earlier emails.
A claim of a late fee or closing deadline invites a quick reply.
Few teams keep a list of known sender domains and contacts.
A real supplier mailbox taken over passes simple checks.
The agent extracts sender, reply-to address, domain and display name from each message.
It checks them against the known contacts and domains for the supplier.
It looks for urgency, secrecy, bank change requests and changed instructions.
It checks the invoice layout, tax details and references against earlier genuine invoices.
It holds the item and tells AP why it looks suspect, with the comparison shown.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Lookalikes | Spoofed domains pass as familiar. | Domains and names are compared with those on record. |
| Style | Tone changes go unnoticed. | Wording and format differences from past messages are flagged. |
| Details | Contact and banking details are not compared. | New details are checked against the vendor record. |
| Speed | Checking takes time, so staff skip it. | Risk cues arrive pre-assembled. |
| Reporting | Attempts are not logged. | Attempts are recorded and shared. |
| If | Then | Who decides |
|---|---|---|
| Sender domain is close to but not the vendor's domain | Flags a lookalike | Vendor admin verifies |
| Message asks for new payment details | Treats as high risk | Vendor admin calls the known contact |
| Invoice format differs from past ones | Flags the change | AP analyst reviews |
| Contact name is new | Flags it | Vendor admin confirms |
| Reply-to differs from sender | Flags it | Vendor admin reviews |
| Fake is confirmed | Blocks it and records details | Security contact alerted |
The agent notes the change and asks for confirmation. The vendor admin validates.
The agent traces back to the original sender. The AP analyst confirms.
The agent flags executive-style payment demands for review. Finance leadership verifies.
The agent compares attachment details with the record. The vendor admin confirms.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
List real contacts and domains.
Compare senders.
Compare invoice details.
Share attempts.
This shows whether every flag ends in a proper check. Open or closed without verification means the control has gaps.
Quick answers to what people ask most about vendor impersonation detection.
Book a demoIt is when someone poses as a genuine supplier, often by email, to trick a company into paying them or changing payment details.
It compares sender, domain and contact details with the vendor record and reads the message and invoice for typical warning signs, then reports why it flagged.
No. It raises suspicion with evidence and a person verifies through an independent channel. It supports judgement rather than replacing it.
Do not reply or pay. Contact the supplier through a known channel from the contract and follow your security process.
Invoice anomaly detection is the practice of finding invoices that look out of pattern, for example an unusual amount, a new item, an odd timing or a different format from the same supplier.
→Invoice audit is the review of invoices, usually after approval or payment, to check they followed policy: valid supplier, correct approval, contract price, proper coding and no duplicates.
→Bank detail change verification is the control applied when an existing supplier asks to change its bank account, a common route for payment fraud.
→Duplicate payment prevention is the control that stops the same obligation from being paid twice, by checking proposed payments against past and pending payments before release.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.
