DeepGuard
DeepGuard is an AI video verification tool that combines video and web analysis to check the authenticity of both a video and its content. It is aimed at newsrooms, platforms, and public institutions, and its stated purpose is to help stop AI-generated falsehoods before they reach the public.
Its analysis centers on a multi-agent pipeline. The Video Forensics Agent inspects frames, motion, and compression patterns to surface deepfake artifacts and subtle edits. Separate audio and web-intelligence agents examine the soundtrack for voice synthesis and cross-check spoken claims against trusted sources and archives. The product also describes scans of global news repositories and verified databases to identify whether footage is recognized from authentic sources, along with transcription and fact-checking of claims against a live knowledge base. The result is presented as a clear, source-linked assessment and report, and the page says it verifies both the video and the message it carries.
DeepGuard is delivered through an enterprise API, a Chrome extension, and a mobile SDK. Example code on the page shows the SDK being used with an API key, a sensitivity setting, and modules for video, audio, and web intelligence, then scanning a URL and triggering alert protocols when the report score is low. The site also includes product messaging around a full authenticity report in minutes and references a newsroom-grade analysis workflow.
It describes itself as a unified AI platform for media authenticity.
WebAPICloud-managed
Overview
6 featuresDeepGuard sits in PulseGate's LLM eval & observability category. It focuses on detecting and verifying deepfakes, audio manipulation, and misinformation in videos for authenticity. DeepGuard is a B2B product aimed at newsrooms, platforms, and public institutions. DeepGuard is available on the web and API.
It is developed by DeepGuard, and it first shipped in 2025. Key capabilities include deepfake detection, audio analysis, and authenticity reports. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
- Deepfake detection
- Audio analysis
- Authenticity reports
- Web intelligence
- API access
- Frame analysis
Tags
deepfake-detectionvideo-authenticitymisinformation-analysisai-verificationmedia-forensics
AI capabilities
VideoAudioText
Inference: Cloud API
Built with & integrations
Framework
Next.js
Hosting
Vercel
Connectors
API
Runs on
BrowserAPI-onlyCloud-managed
Detected from
- Next.js
- x-nextjs-prerender header · /_next/static/ in the HTML · __next_f in the HTML
- Vercel
- x-vercel-id header · x-vercel-cache header
Trust & compliance
Verified signals
HTTPSTerms of Service
Legal
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about DeepGuard
- What does DeepGuard do?
- DeepGuard focuses on detecting and verifying deepfakes, audio manipulation, and misinformation in videos for authenticity. It is catalogued under LLM eval & observability on PulseGate.
- Who should use DeepGuard?
- DeepGuard is a B2B product built for newsrooms, platforms, and public institutions.
- What platforms does DeepGuard run on?
- DeepGuard runs on the web and API.
- Is DeepGuard still maintained?
- Unverified. DeepGuard has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
- What are alternatives to DeepGuard?
- Similar projects tracked by PulseGate include DeepGaze, DeFake, and Susmeter.DeepGazeDeFakeSusmeter
- Who makes DeepGuard?
- DeepGuard is developed by DeepGuard.
- How long has DeepGuard been around?
- DeepGuard first shipped in 2025.
- Does DeepGuard have an API or integrations?
- Yes — DeepGuard exposes a public API.
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