Behavioral AI that trusts behavior over titles, so authority can't just bypass your controls.
















Good, inexpensive, AI-enabled executive impersonation is on the rise, and the FBI ties it to over $3 billion in annual losses. CEOs get the headlines, but attackers often aim lower, at CFOs, controllers, or whoever actually approves payments.
It comes from the bosses you know, in the ordinary ways they make payment requests: a brief message, a familiar thread, an invoice or banking change. And it no longer takes much, just a look-alike domain and a trusted name.
The person no one questions is easier than ever to impersonate.
Prevention, not reimbursement.
Trusted at enterprise volume.
Fewer alerts, faster approvals.
Executive impersonation is when an attacker poses as someone your team trusts, usually a senior leader like a CEO, CFO, or controller, to get a request approved. It works by borrowing authority: a look-alike domain, a spoofed name, or a message slipped into a familiar thread, carrying the weight of someone few would question. When the goal is payment fraud, it’s a wire, a banking change, or an approval that moves money to the attacker.
Executive impersonation and account takeover aren’t the same thing. Account takeover means an attacker is inside a real, compromised account. Executive impersonation often needs no break-in at all. A look-alike domain and a trusted name can be enough to pass for a leader. The two can overlap, when an attacker impersonates an executive using their genuinely compromised mailbox, but it frequently works without breaching anything, which is exactly why it slips past tools built to detect a compromise.
You’re at risk for executive impersonation whether or not your executives are public figures. A public profile makes impersonation easier, but it’s not a requirement. Plenty of attacks skip cloning a voice or face entirely, using a look-alike domain and a rough idea of how your finance team works to pass as a leader. And when attackers do want a voice or likeness, they don’t need a keynote or a podcast: in one Trustmi webinar, ethical hacker Rachel Tobac produced a convincing clone from a short clip taken off a routine video call. This is why defense has to rest on how requests behave and where the payment goes, not on how recognizable a leader is.
Here’s where the common defenses for executive impersonation fall short with payment fraud:
● Email filters flag look-alike domains and spoofed senders, but an impersonator using a real, compromised executive mailbox sails through, and either way the filter stops at the inbox, never reaching the payment.
● Identity and MFA confirm the executive’s login is real, which makes a fraudulent request look more legitimate, not less.
● Deepfake detection targets synthetic voice and video, but plenty of impersonation uses no deepfake at all, and even when one is used, spotting it doesn’t stop the payment.
● Manual checks, like calling to confirm, break down under authority and urgency.
Every one of them checks who the request comes from. None follows it through to the payment, which is where the fraud is caught.
Trustmi stops the payment fraud a deepfake is trying to cause, not the deepfake itself. It doesn’t analyze a voice or video to judge whether it’s synthetic. Trustmi takes a different position in the attack. A deepfake still has to end in a payment: a wire, a banking change, an approval. That request still has to move through the systems Trustmi watches. So even when a deepfake fools a person completely, the fraudulent payment behind it breaks the behavioral pattern and gets caught before money moves.
Trustmi works alongside your email security, not in place of it. Email security does important work at the inbox, blocking spam, malware, and known-bad senders. Trustmi picks up where it stops: the impersonated requests that look legitimate, and the payment activity email tools were never designed to see. It integrates with your existing email, ERP, and payment systems, adding a payment-fraud layer on top of the controls you already run.
Protecting businesses globally against socially engineered fraud and errors.
By Eliminating Fraud and Payment Errors
Manual Process Time Reduced