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Deepfake

What is Deepfake?

Synthetic media created using AI techniques, particularly deep learning, to produce realistic but fabricated images, videos, or audio. Deepfakes pose security threats including identity fraud, misinformation, and social engineering.

AI & Technology

Each of these is named in at least one of the same controls as deepfake. The number is how many controls name both.

What the standards actually require on deepfake

Requirements naming deepfake across 4 standards, quoted from the control text.

Synthetic or manipulated media depicting real individuals must be labeled where feasible and removed when intended to deceive in commerce, politics, or sexual content without consent.

KISO.5.2 · Deepfake and Manipulated Media Handling →
EU AI Act1 control

Providers and deployers of certain AI systems (incl those interacting with natural persons, emotion recognition, biometric categorisation, generative AI producing synthetic content, deepfakes, and AI-generated/manipulated text for public-interest information)...

EUAI-Art.50 · Transparency obligations for providers and deployers of certain AI systems →

Identify and assess the risk that AI is misused for cyberattacks, fraud and other crimes or illegal acts and take appropriate measures;

japan-ai-guidelines::GL13-2.3 · Article 13 Guideline 2(3) Sufficient safety →

GenAI framework, Safety and Alignment R&D and AI for Public Good: invest in forward alignment (for example RLAIF) and backward alignment (evaluating trained models, testing for dangerous capabilities, mechanistic interpretability) with international cooperatio...

singapore-ai-governance-framework::GEN-8 · Support safety and alignment research and AI for public good →

Questions people ask about deepfake

What is Deepfake?
Synthetic media created using AI techniques, particularly deep learning, to produce realistic but fabricated images, videos, or audio. Deepfakes pose security threats including identity fraud, misinformation, and social engineering.
Why is Deepfake important for compliance?
Deepfake is a key concept in AI & Technology. Understanding deepfake helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 1,016 frameworks with 316K cross-framework control mappings.
Which compliance frameworks address Deepfake?
Deepfake appears in the requirement text of South Korea Korea Internet Self-Governance Organisation (KISO) Code of Ethics, EU AI Act, Japan AI Guidelines, Singapore AI Governance Framework. Across these standards we have identified 4 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about Deepfake?
Explore our compliance framework pages to see how deepfake applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 1,016 frameworks.

See how Deepfake applies across compliance frameworks

Our platform maps 1,016 frameworks with 316K cross-framework control mappings. Explore how this concept is addressed across standards.

Written and maintained by Gerard Blokdyk, The Art of Service.