Deepfake Detection
Technologies and methods for identifying AI-generated synthetic media, using techniques such as artifact analysis, provenance verification and neural network classifiers.
In plain language
Technology that spots AI-generated fake media. It looks for subtle clues: unnatural blinking, odd lighting, pixel artifacts, that reveal content was artificially created.
Why this matters
Detection capability is becoming a governance requirement as deepfake threats grow. Your organisation should assess its vulnerability to deepfake attacks and include detection measures and verification protocols in its AI risk management framework.
Relevance
ImplementationDeepfake detection is an operational control that organisations should implement to mitigate fraud, impersonation and misinformation risks in digital communications.
Related terms
Putting deepfake detection into practice in your organisation?
Ready to transform your AI strategy?
Partner with Australia's AI strategy and governance specialists. From adoption roadmaps to ISO 42001 audit readiness.