Liveness
Detects faces and assesses whether they appear genuine or spoofed.
Built for law enforcement, forensic laboratories, intelligence agencies, fraud investigators and online safety teams handling large volumes of suspicious media. Cyberette helps teams quickly assess content, prioritize cases that require closer examination and focus investigative resources where they are needed most.
Screen large volumes of suspicious media, identify potential risks and prioritize cases for closer examination.
Upload suspicious images, videos and audio through the WebApp, or submit files through your existing systems using the API.
Run detection across submitted media to identify signs of AI generation, manipulation and impersonation.
Review detection results and risk indicators to identify suspicious content and prioritize cases requiring further attention.
Investigate flagged media in greater detail using suspicious regions, timestamps, metadata and other explainable indicators.
Generate structured reports, document findings and determine the appropriate next steps for investigation, reporting or escalation.
Analyze files with Cyberette Investigate. Review explainable findings, examine technical indicators and generate structured reports.
Forensic laboratories should evaluate deepfake detection solutions based on detection performance, explainability, supported media formats, reporting capabilities, integration options and deployment flexibility. Cyberette Investigate combines image, video and audio analysis with technical findings, structured forensic reports, API integration and deployment options for security-sensitive environments.
Cyberette Investigate helps forensic laboratories, law enforcement agencies and investigative teams examine suspicious images, videos and audio for signs of AI generation or manipulation. It supports high-volume screening, case prioritization and detailed examination through explainable findings, technical indicators and structured reports.
Yes. Cyberette's deepfake detection API can be integrated into existing evidence intake, monitoring and investigative systems to screen media at scale. Results meeting configured thresholds can be flagged in the Cyberette WebApp, allowing investigators to focus on suspicious material requiring closer examination.
Investigators can upload media directly into the Cyberette WebApp for analysis or generate an API key within the WebApp to connect their existing systems. With API-integrated screening, results meeting configured thresholds can appear in the Cyberette WebApp for further examination. Both workflows support reviewing technical findings and generating reports.
Yes. Cyberette provides technical indicators that help investigators examine why media may be suspicious. Depending on the media type and analysis, these can include suspicious regions, video timestamps, metadata and audiovisual inconsistencies. These findings provide additional context for expert review rather than relying solely on a detection result.
Yes. Cyberette Investigate provides structured reports containing detection results and relevant technical findings. These reports support evidence assessment, case documentation, expert review and investigative escalation. Detection findings should be evaluated alongside other available evidence and established forensic procedures.
Yes. Cyberette offers cloud, on-premises and secure container deployment options to accommodate different infrastructure and security requirements. Organizations with restricted connectivity or sensitive investigative workflows can discuss suitable deployment configurations, including air-gapped environments where supported.
Deepfake detection findings can support digital evidence assessment and investigative reporting, but they do not independently establish whether media is authentic or manipulated. Their evidentiary value depends on factors such as validation, documentation, applicable legal standards and expert interpretation. Cyberette provides explainable findings and structured reports to support that review.