# Facia 신원 확인과 미디어 진위 검증을 위한 딥페이크·라이브니스 탐지 - Findings24: - 웹사이트: - 가격: Freemium - 카테고리: AI 이미지 감지기, AI 콘텐츠 탐지기 ## Facia란 무엇인가요? 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. ## Facia(으)로 무엇을 할 수 있나요? ### Deepfake detection Checks videos and images for deepfake signals, including manipulated facial cues and AI-generated content, to help teams confirm authenticity. ### DeepLiveness liveness detection Confirms a live person is present while adding a deepfake-aware layer to the same verification flow, rather than relying on presence alone. ### Real-time detection 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. ### Integration options Offers standalone portal use or platform integration, with mention of APIs, compatible SDKs, and web SDKs for embedding into existing workflows. ### Media coverage Covers both image and video analysis, including AI image checking and cross-platform deepfake video detection. ### Usage tiers and enterprise features 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. ## 사용 사례 ### Customer onboarding Use Facia during digital onboarding to detect spoofing, replay attempts, and AI-generated faces while a user is being verified. ### Identity verification Screen selfies, IDs, and related media during KYC flows to flag manipulated images, synthetic faces, and face swaps in real time. ### Video call screening Check live video calls, interviews, or support sessions for deepfake overlays or synthetic faces when authenticity matters during the session. ### Step-up authentication Apply face-based step-up checks for sensitive account actions when risk signals suggest a stronger verification step is needed. ### Media and evidence review Verify images and videos submitted as evidence or published content to help teams assess whether the media has been manipulated. ## 자주 묻는 질문 ### How does Facia detect deepfakes? 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. ### Can Facia be used as a standalone tool or integrated into an existing product? 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. ### Who is Facia designed for? The source indicates it is used by governments, media platforms, private enterprises, and teams working in identity verification, fraud prevention, and media authenticity. ### Does Facia have different pricing options? 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. ### What deployment or integration options are mentioned? The source highlights iBeta Level 2 certified liveness detection, on-prem and cloud integration, and support for iOS and Android SDKs. ## 주요 정보 - **Category**: Deepfake detection and liveness detection - **Platform**: Web-based product with portal, APIs, and SDKs - **Primary users**: Businesses, governments, and teams handling identity verification or media authenticity - **Source domain**: facia.ai - **Pricing model**: Pay-as-you-go and enterprise custom pricing - **Notable deployment**: Mentions standalone, platform-integrated, cloud, and on-prem use