What "Deepfake Detection" Actually Means (And Why Most Platforms Only Solve Half the Problem)

Most identity platforms scan for deepfakes at the front door, mark the user verified, and stop watching. The question worth asking any vendor is what their system is doing sixty seconds later. Attackers have learned to work after the check ends, either swapping the real feed for a synthetic one or handing the session to a different person once a legitimate signer has cleared. Your logs will show a clean check, because the check genuinely was clean when it ran.

In 30 minutes we will show how the mid-session exploits work and what continuous detection looks like running live. What we will cover:

• Point-in-time deepfake detection stops monitoring after onboarding, leaving the rest of the session unobserved even though the transaction happens there.
• Virtual camera injection substitutes a synthetic video feed mid-session, which a completed front-door check has no way to detect.
• A mid-session hand-off clears verification with a real person and completes the transaction with someone else, so the audit trail records a legitimate check.
• Continuous, live-session detection evaluates the feed throughout, which is what makes it possible to block a transaction while it is still in progress.