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What is IDLive Face Plus?

IDLive Face Plus significantly enhances the original IDLive Face by incorporating advanced detection of injection attacks, in addition to its existing presentation attack detection capabilities, thereby providing exceptional security against deepfakes and other misleading digital visuals. This innovative solution proficiently identifies injection attacks that leverage both virtual and real cameras, ensuring protection against unauthorized alterations in browser JavaScript on both desktop and mobile devices. It also effectively blocks man-in-the-middle replay attacks and combats the use of emulators, cloning applications, and other deceptive software. The system markedly improves the efficacy of presentation attack detection, which is essential for facial recognition systems to verify that a biometric selfie is indeed a live capture rather than a deceptive replica, such as a printed image, a video replay, or a 3D mask. By seamlessly integrating award-winning presentation attack detection techniques with a unique methodology for injection attack detection, IDLive Face Plus delivers an all-encompassing defense against deepfakes and various forms of digital manipulation, positioning it as an indispensable asset in the modern security framework. As the landscape of digital threats continues to evolve, the importance of employing cutting-edge detection strategies becomes more pronounced than ever. This makes IDLive Face Plus not only a technological advancement but also a critical component in safeguarding digital identities.

What is DeepWall?

DeepWall is an AI-powered deepfake monitoring and digital identity protection platform designed to help organizations, executives, creators, and public figures detect unauthorized impersonation across the web. The platform continuously scans YouTube, X, TikTok, Facebook, Instagram, Reddit, and news sites for videos that may misuse a protected person’s face, voice, or likeness. Users begin by enrolling a biometric profile with several photos and a short voice sample, which DeepWall converts into facial embeddings and a unique voiceprint for ongoing monitoring. Its detection engine analyzes newly uploaded content using frame-by-frame facial recognition, voice biometric matching, confidence scoring, and AI deepfake analysis. DeepWall is built to identify threats created with techniques such as face swapping, voice cloning, synthetic avatars, and manipulated video generation. When a suspicious match appears, the Canary Alert System sends notifications through email, SMS, Slack, in-app alerts, or webhooks so teams can respond quickly. Organizations can adjust detection thresholds, manage alert severity, whitelist legitimate content, and choose immediate, hourly, or daily digest options. The platform also includes an Evidence Package Generator that creates timestamped PDF reports with source URLs, confidence scores, screenshots, audio analysis, and takedown templates. Enterprise accounts can monitor multiple executives or public-facing individuals from one dashboard while routing alerts to legal, PR, security, or executive teams. DeepWall emphasizes privacy and security with AES-256 encryption, TLS 1.3, GDPR compliance, CCPA compliance, role-based access controls, and the ability to delete biometric data. By combining always-on platform monitoring, deepfake detection, biometric matching, and response-ready documentation, DeepWall helps protect reputations before AI impersonation causes lasting damage.