Glossary term
Deepfake Detection
Definition
Deepfake detection is the automated analysis of media to determine whether it was generated or manipulated by AI. Detection models examine artifacts that generative systems leave behind — spectral patterns in synthetic speech, frequency-domain anomalies in images, temporal inconsistencies in video — and return a confidence score rather than relying on human inspection.
Why it matters for financial institutions
Manual review cannot keep pace with generative quality: studies consistently show humans perform near chance level at spotting good deepfakes. For banks, the stakes are concrete — undetected deepfakes translate into account takeover losses, KYC failures with regulatory consequences, and authorized-push-payment fraud. Detection restores an objective, auditable verification signal.
How FalsiFind addresses it
FalsiFind provides multi-model detection across voice, image, and video through one API, with real-time streaming for live calls, tenant-configurable thresholds per workflow, and cryptographically signed evidence bundles that document every decision for auditors and examiners.