"Before a face swap operation begins, the attacker doesn't touch a GPU. They do what every intelligence agency does first: harvest the target's face. Watch this unfold in real time."
Harvesting a Face
The target is Sarah Chen, CFO of NeoVault Financial. The attacker has spent 4 minutes on LinkedIn. That is all it takes.
Sarah Chen
Chief Financial Officer at NeoVault Financial
San Francisco, CA · 2,847 connections
Choose Your Weapon
Model compiled. Sarah Chen's face is ready to wear. Now choose the delivery mechanism for the live Zoom call with Finance Manager David Park. Goal: authorize a $4.2M wire transfer.
"DeepFaceLive processes your webcam and overlays Sarah Chen's synthetic face in real time. David Park will see her face. You speak. The algorithm stitches. At 720p over Zoom, the artifacts fall below most defenders' perceptual threshold."
"HeyGen is cleaner — but you lose real-time control. You'll need a pre-recorded clip and a 'bad connection' excuse. Riskier. Requires a solid social engineering script."
This is exactly what David Park saw.
Drag the handle to compare side-by-side: the original video (left) versus the AI face-swap (right). Look carefully — try your best to notice any differences.
Modern deepfakes have surpassed human detection ability. MIT researchers found human accuracy at identifying AI face swaps is just 53% — barely better than a coin flip — even when people know they're looking for fakes.
Can You Tell?
Below are 6 faces. Some are real people. Some are AI-generated. Tag each one.
Results revealed. Scroll down for the most important lesson of this course.
Every single face in this lab was AI-generated.
Sarah Chen — the CFO you watched — does not exist. David Park — does not exist. All 6 faces above — none of them exist.
Every face was generated in under 2 seconds by thispersondoesnotexist.com. No GPU rented. No money spent. Just a web request.
If you couldn't reliably distinguish AI-generated faces from real ones when you knew you were being tested, imagine trying to do it in a high-pressure Zoom call with a $4.2M decision on the line. Protocol is everything.
The 6-Second Check
Every employee on a finance team should run this check on any video call with a financial instruction. Six steps. Six seconds. $4.2M saved.
"You cannot outperform a neural network with your eyes. Stop trying. Build protocols, not instincts. Every wire transfer request that arrives over video call must have an independent verification path. No exceptions."
