Klocwork
Enterprise-Scale Static Analysis for Security, Safety, and Quality Compliance.
AI-powered deepfake detection and media integrity verification for institutional trust.
Microsoft Video Authenticator is a high-fidelity media forensics tool developed under Microsoft’s Defending Democracy Program. The tool employs a sophisticated deep learning architecture specifically designed to detect the subtle 'blending' artifacts and boundary inconsistencies inherent in deepfakes and synthetically manipulated media. Unlike consumer-grade detection software, Video Authenticator provides a frame-by-frame confidence score, analyzing the gradients and pixel-level transitions that are often invisible to the human eye. By 2026, the tool has matured into an enterprise-grade solution integrated with the Content Authenticity Initiative (CAI) and the Coalition for Content Provenance and Authenticity (C2PA) standards. It functions by analyzing the temporal consistency of video files and cross-referencing metadata with cryptographic hashes. The architecture is optimized for high-throughput institutional use, allowing news organizations and government bodies to validate incoming media streams in near real-time. It sits at the intersection of Azure's Cognitive Services and dedicated security research, positioned as a critical infrastructure component for maintaining information integrity in a post-truth digital landscape.
Identifies the blending boundaries of deepfakes where AI-generated elements meet original content at the pixel level.
Enterprise-Scale Static Analysis for Security, Safety, and Quality Compliance.
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Graph-based threat modeling and attack surface visualization directly within the DevSecOps lifecycle.
Immutable video provenance through blockchain-anchored hash-on-capture technology.
Verified feedback from the global deployment network.
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Analyzes frame-to-frame consistency to ensure movements and lighting transitions follow physical laws.
Generates a dynamic percentage score during playback, highlighting specific moments of high suspicion.
Verifies the cryptographic provenance and chain of custody for digital media assets.
Deeply integrated with Azure's broader AI stack for automated content moderation.
The model is continuously updated using adversarial examples to stay ahead of new generative techniques.
Generates detailed technical audits suitable for legal evidence or journalistic citations.
Foreign actors spreading 'cheapfakes' or 'deepfakes' of political candidates to sway public opinion.
Registry Updated:2/7/2026
Journalists receiving user-generated content from conflict zones that may be manipulated.
Video evidence submitted in court that is suspected of being altered to frame a defendant.