We have entered a new reality, where we can no longer believe what we see and hear
Deepfakes Detected: Reliably. Explainably.
Quickly determine if multimedia content is real. Our platform detects all types of manipulated multimedia, from Photoshopped™ images to deepfaked video and audio.
AI-Powered Deepfake Detection
& Analysis
Our platform uses an ensemble of neurosymbolic, multimodal AI models, in concert with explainable AI (XAI), to determine if content is real or fake.
Neuro-Symbolic AI
Hybrid intelligence combining neural networks with symbolic reasoning for precise deepfake identification.
Multimodal AI
AI-powered insights with real-time multimodal analysis across video, audio, and images.
Explainable AI
Transparent detection powered by explainable algorithms showing how and why decisions are made.
Powerful AI Features for
Deepfake Detection
Wide Detection Range
Detects basic, partial, shallow, and complex fakes with high precision
Explainable Reporting
Detailed, transparent reports that are automatically generated
Security-First Architecture
Guards against attempts to manipulate outcomes
Human-like Reasoning
Contextual analysis across multiple media types
Low-Quality Media Support
Robust detection even when media evidence is poor quality
Unbiased Decisions
Ensuring transparent AI-driven decisions for greater trust
Real-World Applications of
Our Technology
Discover how our cutting-edge deepfake detection solutions empower industries with security, trust, and innovation
Court System
Transparency is a must. Our reporting establishes how decisions were made.
Legal Firms
Forewarned is forearmed. Verify if that perfect piece of evidence is really perfect.
Cybersecurity
Who is on that conference call? Verify identity and detect recordings in real-time.
Insurance
Is that accident victim telling the whole truth? We can assist in determination.
Detect Deepfakes with a ProbeTruth's Multi-Model
Neurosymbolic Forensic Approach
- Reported incidents saw a 20% rise in 2024 compared to 2022.
- Losses from generative AI fraud could surpass $40 billion by 2027.
- Deepfake incidents in fintech surged by 700% in 2023.
- The volume of deepfake videos circulating online nearly doubles every six months.
- More than 70% of people are uncertain whether they can distinguish between a real voice and an audio deepfake.
- Increase in reported incidents in 2024 compared to 2022.
- Only 5% of company leaders claim to have strong defenses against deepfake attacks, including protections for staff, communication, and company procedures.
- Americans have come across deepfaked videos and images designed to mislead them.
- Creating a one-minute deepfake pornographic video requires just a single clear image, takes less than 25 minutes, and costs nothing.
- Despite 80% of insurance sector respondents expressing concern over manipulated digital media, only 20% have taken action against deepfake threats.
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