StealCut - AI Security

✦ StealCut AI is here.

Deepfaking
in progress...

Product

Stealcut’s AI security technology is
available through both API and SDK.

Stealcut is developing a product based on a proactive AI model designed to protect user images before they can be misused for deepfakes.
Our goal is to enable real-time use of our AI model across diverse environments—on-device, in the cloud, and within partner platforms—so that platforms can maintain the same user experience while providing a safer environment.

Original

Protected version

Deepfaked version

Functionality

Stealcut’s AI model applies invisible adversarial noise to user images, disrupting deepfake face-generation models while preserving the original visual quality. The added noise remains virtually imperceptible to the human eye, yet it prevents deepfake models from reliably detecting or extracting the face from a protected image, significantly reducing their ability to generate realistic outputs.

Use Potential

If applied to a platform, the AI model developed by Stealcut could help protect user-hosted images by making them more resistant to deepfake misuse. This may enable companies to reduce fraud risk, prevent identity spoofing, and protect users from unauthorized AI-generated content. The technology can operate without requiring user intervention and can be integrated in a way that does not disrupt the platform’s existing UX. Ultimately, it can enhance user trust and support compliance with emerging AI safety and security standards.

Technical Workflow

Stealcut’s AI model is being refined to achieve real-time processing speeds and cost-efficient operation, with the goal of making it available as both an API and an SDK once these capabilities are fully met. In the future, the API is intended to operate as a managed cloud endpoint, while the SDK is planned for on-device or on-premise deployment in sensitive environments. Integration is being designed to require only a simple call within existing image-processing pipelines.