Overview
Synthetic media is digital content—such as images, videos, audio, or text—that is generated or altered using artificial intelligence. These technologies can create highly realistic content that may be indistinguishable from authentic media.
How Synthetic Media Is Created
Synthetic media is produced using machine learning models trained on large datasets. These models learn patterns in real content and generate new outputs that replicate those patterns.
Common techniques include:
Generative AI models (e.g., GANs, diffusion models)
Voice synthesis and cloning
Image and video generation tools
Text generation systems
Common Types of Synthetic Media
Images
AI-generated or edited photos
Videos
Deepfakes or altered video content
Audio
Voice cloning or synthetic speech
Text
AI-generated written content
Risks of Synthetic Media
While synthetic media has legitimate uses, it introduces significant risks:
Misinformation and disinformation
Fraud and impersonation
Manipulated evidence
Brand and reputational damage
Why Synthetic Media Matters
As synthetic media becomes more advanced and accessible, organizations can no longer assume digital content is authentic. The ability to distinguish real from artificial content is now critical for decision-making.
How Organizations Address Synthetic Media
Organizations use AI-based verification systems to:
Detect manipulation
Analyze authenticity signals
Validate content sources
These systems help ensure digital information can be trusted before it is used.