The fundamental challenge of deepfake detection is that the technology can generate intimate content from a single face photo. As long as you have any public presence, social media, news coverage, professional profiles, you are potentially vulnerable. Effective detection focuses on reducing risk factors, monitoring for content, and having discovery infrastructure ready when needed.

Risk reduction

Private social media accounts reduce the source photo pool available to deepfake creators. Profile photos with low-resolution or partially obscured faces are harder to deepfake convincingly. Watermarking professional photos makes unauthorized misuse more traceable.

Monitoring for deepfake content

ScanErase supports periodic re-scans to detect deepfake content featuring your likeness before it spreads widely. Setting up Google Alerts for your name combined with targeted keywords can provide surface-level monitoring.

Rapid response infrastructure

The most effective protection is having discovery infrastructure ready to deploy immediately when content is found. ScanErase's process, upload, scan, results, can be completed in minutes. Delays in response significantly increase total spread.

Documentation for rapid action

Maintaining documentation of your professional identity and a clear record of what your authentic public image looks like can be valuable evidence that AI-generated content is false when content is discovered.

Frequently asked questions

Should I make my social media accounts private to reduce the risk of deepfakes?

Private accounts reduce the source photo pool for deepfake creation but do not eliminate risk. Photos in private accounts can still be accessed by connections. The trade-off between privacy and social connection is personal.

Can I prevent someone from creating a deepfake of me?

No. Deepfake technology cannot be prevented from operating by any individual action. Effective protection focuses on monitoring and rapid discovery rather than prevention.