Stop a spoofed vendor from redirecting payment
Catch attackers posing as vendors and suppliers to redirect payments and change banking details, on the calls where accounts payable acts.
Where vendor impersonation shows up
Banking detail changes under pressure
Spoofed vendors pushing accounts payable to update payment details for an urgent invoice or onboarding.
Established-relationship abuse
Attackers who reference real invoices and history to make a redirect feel routine.
How a vendor impersonation attack unfolds
These attacks move through a recognizable sequence. Diopter scores that sequence while the call is still in progress.
A known vendor reaches out
The caller references real invoices and history, presenting as a supplier the team already pays.
An urgent invoice
A late payment or a deadline frames the banking change as time-sensitive.
A new point of contact
The request comes from a fresh email domain or number, away from the established channel.
The change is pushed
A detail update becomes a full banking redirect for current and future payments.
Payment is redirected
Accounts payable updates the record and the next payment leaves for the attacker's account.
What Diopter looks for
Identity and payment verification
Confirm the vendor contact and validate the new banking details against fraud signals.
Synthetic media on vendor calls
Score the call for cloned voice and deepfake video used to authorize the change.
Pressure and policy checks
Detect the urgency and out-of-policy framing that accompanies a payment redirect.
Relationship-history matching
Compare the request against the vendor's established invoice cadence and contact channel, so a fresh account number or an unfamiliar contact stands out against the real history.
From signals to one action your team can take.
- Vendor identityUnconfirmed
- Payment detailsChanged
- ConversationPressure rising
- RelationshipMismatch
Accounts payable leaves the record unchanged until the number of record confirms it.
Most tools check one clip. Diopter reads the whole call.
Point-in-time detectors answer a single question: is this video or voice fake? A good clone passes that test. Diopter scores the whole conversation, the authority claims, the manufactured urgency, the push to go off-channel, and the escalating ask, then raises a verdict on the pattern a single frame cannot show.
A spoofed vendor can sound routine. A real banking-detail change does not arrive under pressure, off-channel, and outside your controls.
Light to deploy, clear about what runs where.
Pilot in days, roll wider through MDM, and keep sensitive call media inside your perimeter.
- On-prem and hybrid deployments supported
- No caller-side install
- Bot or bot-free capture
- Configurable retention, including ZDR
- MDM rollout (Intune, Jamf)
- SOC 2 Type II in progress
Walk an attack arc with Diopter.
In 30 minutes, we will replay a real deepfake incident, show the signals Diopter would score, and map the verdict your team could act on.
What security and fraud teams ask first.
Real history is part of the play. Diopter weighs the identity, the channel, and the pressure on the call, not just whether the invoice details look familiar.
On the call where a banking change is requested, with a hold routed before the record is updated.
No. Diopter scores the manipulation pattern, not isolated artifacts, so a normal call with real urgency does not trip it. Only the combination, an authority claim plus pressure plus an escalating ask, crosses the threshold. Your team sees fewer alerts with higher signal.
Diopter supports on-prem and hybrid deployments, with configurable retention including a zero-data-retention option. It runs with a meeting bot or bot-free, and needs no caller-side install. SOC 2 Type II is in progress.
Diopter works alongside the video and voice tools your team already uses, and rolls out through your existing MDM such as Intune or Jamf. There is no caller-side install and no change to how your team takes calls.
No. Every verdict carries a confidence level, not a flat flag, and if a call or file could not be fully checked, Diopter reports that rather than defaulting to a clean result. You can see this directly: every report from the Deepfake Detector shows the same confidence scoring behind Diopter's verdicts.
Research behind vendor impersonation defense
All research →Vendor Fraud: Meaning, Examples & Prevention
Learn what vendor fraud is, how it commonly works, and how to identify vendor fraud and prevent fraudulent payments with stronger controls.
Invoice Fraud: Types, Examples & Detection Guide
Invoice fraud uses fake invoices, vendor impersonation, and BEC to trigger wrong payments. Learn the types, warning signs, and how to prevent it.
Business Email Compromise (BEC): Complete Guide
BEC attacks cost businesses billions yearly and leave no malware to detect. Learn how they work and how to build a layered defense.