About
Cyberette provides AI-native deepfake detection for identity, fraud prevention, and investigations. We detect AI-generated and manipulated image, video, and audio, enabling real-time protection in identity workflows and deeper analysis when evidence is required.
For identity and fraud teams, Cyberette can detect deepfakes during account creation, biometric authentication, and account recovery, helping prevent AI-driven impersonation before access is granted or fraud occurs.
When deeper investigation is needed, the platform goes beyond a simple detection score. Multi-layer analysis helps teams understand whether content has been manipulated, where suspicious signals appear, and what evidence supports the result. This gives investigators a clearer basis for deciding what to trust, flag, or investigate further.
Cyberette is built for organisations dealing with digital deception across identity verification, financial fraud, law enforcement, defence and intelligence, trust and safety, legal investigations, child safety, and digital risk. The same technology can support both high-volume detection and detailed analysis, depending on the workflow.
Results are designed to be explainable and actionable. Teams can review indicators such as suspicious regions or timestamps, metadata and provenance signals, and other evidence behind a detection rather than relying on a black-box result.
The platform supports image, video, and audio, allowing organisations to address different forms of AI-generated deception through one system. It can be used directly through the Cyberette WebApp or integrated into existing identity, security, and investigative workflows through the API.
Whether the goal is stopping an AI-generated identity attack in real time or understanding how suspicious content was created or manipulated after an incident, Cyberette provides the detection and evidence needed to make faster, more confident decisions.