Deepfake detection
Checks videos and images for deepfake signals, including manipulated facial cues and AI-generated content, to help teams confirm authenticity.
Deepfake and liveness detection for identity and media authenticity
Facia is a deepfake detection and liveness detection product for identity verification, authentication, and media authenticity checks. It is positioned for businesses and governments that need to confirm whether a face, image, or video is genuine rather than manipulated or synthetic.
The product’s core offering combines AI-based deepfake detection with liveness detection under its DeepLiveness approach. The source says this adds a deepfake-aware layer to standard liveness checks, with standalone and integrated workflows available through a portal, APIs, and SDKs.
Checks videos and images for deepfake signals, including manipulated facial cues and AI-generated content, to help teams confirm authenticity.
Confirms a live person is present while adding a deepfake-aware layer to the same verification flow, rather than relying on presence alone.
Supports real-time analysis for scenarios such as video calls, onboarding, and media screening, with the source emphasizing rapid response under one second for liveness.
Offers standalone portal use or platform integration, with mention of APIs, compatible SDKs, and web SDKs for embedding into existing workflows.
Covers both image and video analysis, including AI image checking and cross-platform deepfake video detection.
Includes tiered pricing paths, with pay-as-you-go and enterprise options, plus enterprise features such as analytics dashboard, priority support, and on-prem deepfake detection.
Use Facia during digital onboarding to detect spoofing, replay attempts, and AI-generated faces while a user is being verified.
Screen selfies, IDs, and related media during KYC flows to flag manipulated images, synthetic faces, and face swaps in real time.
Check live video calls, interviews, or support sessions for deepfake overlays or synthetic faces when authenticity matters during the session.
Apply face-based step-up checks for sensitive account actions when risk signals suggest a stronger verification step is needed.
Verify images and videos submitted as evidence or published content to help teams assess whether the media has been manipulated.
Facia’s deepfake detection analyzes media for signs of manipulation such as eye and lip movement, facial shadows, and reflections. The source also says it can detect AI-generated images and videos across platforms.
The source describes standalone use through Facia’s portal as well as platform-integrated use through backend integration. It also mentions compatible SDKs, RESTful APIs, and web SDKs on the pricing page.
The source indicates it is used by governments, media platforms, private enterprises, and teams working in identity verification, fraud prevention, and media authenticity.
Facia’s pricing page shows a pay-as-you-go option for smaller usage volumes and an enterprise option with custom pricing for larger deployments.
The source highlights iBeta Level 2 certified liveness detection, on-prem and cloud integration, and support for iOS and Android SDKs.
Traffic data is for reference only.
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