What is Synthetic media in cybersecurity?

Synthetic media is digital content that is artificially generated or manipulated using algorithms, generative AI, computer graphics, or machine learning.

It can include text, images, voice, video, avatars, and translated or cloned content. It is not inherently malicious, but it becomes a security concern when people cannot verify who created the content, whether it was altered, or whether it is being used to impersonate a trusted person.

How does it work?

These tools learn patterns from training data and use those patterns to generate new outputs or modify existing media. A model may synthesize a voice sample, create a realistic face, alter a video frame, translate speech, or generate marketing visuals from prompts.

In business environments, the workflow usually includes content generation, human review, approval, labeling, storage, and distribution. Strong controls focus on provenance, verification, AI risk review, access permissions, and preventing unauthorized tools from processing sensitive data.

Synthetic media vs deepfakes

Deepfakes are a subset of AI-generated media. They typically use AI to make a person appear to say or do something they did not say or do, often through face swapping, voice cloning, or video manipulation.

The broader category can cover approved training videos, product visuals, accessibility narration, localization, and design prototypes, as well as fraud, misinformation, brand abuse, or executive impersonation.

How Hexnode supports synthetic media governance

Hexnode supports this governance model by improving endpoint visibility around managed endpoints used to create, store, review, or distribute media. Through policy enforcement, compliance checks, patch workflows, application controls, and remote actions, IT teams can reduce risky tooling and keep approved creation environments aligned with security baselines.

This helps organizations limit unsanctioned apps, enforce device posture, maintain audit-ready controls, and act quickly when a device is involved in suspicious media creation or distribution.

When should organizations use it?

Organizations should use Synthetic media when there is a clear business purpose, an approved tool, documented ownership, and a review process. Common safe use cases include training content, synthetic datasets, product mockups, localized videos, accessibility narrations, and controlled marketing assets.

They should avoid ungoverned use for executive messages, customer communications, legal evidence, HR decisions, or regulated data unless provenance, disclosure, approvals, and retention requirements are defined.