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Description

An accessible platform that incorporates cutting-edge methods for detecting deepfakes is available for use. Users can upload a single video file from their computer at a time. Deepfakes, which are AI-generated fabricated media, can create misleading representations of individuals and their actions, posing significant risks when misused. The DeepFake-o-meter, created by the UB Media Forensics Lab, is an open-source tool designed to identify deepfake technologies created by third parties. It offers a user-friendly service that allows for the analysis of deepfake content using various advanced detection techniques, ensuring that results are delivered securely and privately. Additionally, it features an API framework that enables developers to integrate their deepfake detection algorithms and execute them on a remote server. Furthermore, it serves as a valuable resource for researchers in digital media forensics, providing a platform for assessing and benchmarking the effectiveness of different detection algorithms against one another. This multifaceted approach ultimately enhances the fight against the misuse of deepfake technology.

Description

DeepWall is a cybersecurity and identity protection platform built to detect deepfakes, synthetic voices, and manipulated media that target executives, brands, public figures, and creators. The system continuously monitors major platforms such as YouTube, X, TikTok, Facebook, Instagram, Reddit, and news sites for unauthorized uses of a person’s face or voice. Users create a biometric profile by submitting several photos and a short voice recording, allowing DeepWall to generate facial embeddings and a voiceprint for ongoing comparison. Its AI detection engine analyzes videos frame by frame and evaluates audio tracks to identify possible face swaps, voice clones, and other AI-generated impersonations. When suspicious content exceeds a chosen confidence threshold, the Canary Alert System sends fast notifications through email, SMS, Slack, push alerts, or API webhooks. DeepWall includes evidence export tools that generate timestamped reports with video links, screenshots, confidence scores, and audio analysis for legal or platform takedown use. Enterprise teams can monitor multiple executives, route alerts to legal or PR teams, assign threats, and manage access through role-based permissions. The platform is designed with AES-256 encryption, TLS 1.3, GDPR compliance, CCPA compliance, and user-controlled biometric deletion. By combining real-time monitoring, AI-powered detection, and response-ready evidence, DeepWall helps organizations act before impersonation threats spread.