It has become easier than ever to generate realistic AI videos, posing a growing challenge for enterprise organizations. Businesses have lost millions of dollars, falling victim to hard-to-detect AI video fraud that can be generated in minutes. This creates a need for an accurate way to determine whether digital media is authentic, manipulated, or entirely synthetic.
Enter Copyleaks’ AI Video Detector.
The AI Video Detector helps enterprises analyze video and audio content with greater clarity and precision than ever before. Built for enterprise workflows and available through API integration, the platform can simultaneously analyze visual and audio components of a video file, and identify any markers of AI-generated or manipulated content. Rather than delivering a simple output of “yes, this is real” or “no, this is AI-generated,” the AI Video Detector pinpoints exactly when synthetic or manipulated content appears.
How AI Video Detector Works
The AI Video Detector was trained on many different data sources, including authentic media, AI-generated video, cloned speech, and manipulated content within multiple models and methods of generative video. This allows it to recognize both obvious and subtle tells of AI-generated media that humans may not catch manually.
When a file is scanned, the detector independently evaluates:
- Video frames
- Audio tracks
- Cross-modal consistency between visual and audio streams
The platform then produces an analysis that depicts exactly where on the video’s timeline that manipulation has occurred. This approach gives organizations the full picture as to where and when AI-generated elements are present, and how it was created.
Built for More Than Fully Synthetic Content
Modern AI videos are often more complex than previous iterations of deepfakes that were often fully AI-generated. Many are “hybrid” videos, where the baseline video is authentic, but is combined with AI-generated elements such as synthetic voices or altered scenes. That is why AI Video Detector is designed to identify:
- Fully AI-generated video or audio
- Partially manipulated synthetic media
- Authentic footage paired with synthetic speech
- AI-generated visuals combined with real audio
Use Cases
AI Video Detector is built for organizations and industries where it’s very important to ensure/verify that media is fully authentic. Key use cases include:
- Banking and Financial Institutions (Identity Verification) – Preventing high-stakes fraud by vetting KYC (know your client) verification content such as identity documents or recorded instructions to ensure compliance.
- E-commerce and On-Demand Service Marketplace – Protecting retail and delivery platform margins by identifying “damaged” goods and manipulated product reviews that are altered by AI. This prevents fraudulent refunds and damage to brand reputations.
- Insurance and Claims Adjusters – Eliminating payout scams by detecting AI-generated and re-generated accident footage and damage proof to inflate claim value.
The platform’s API-first architecture enables organizations to process large volumes of media within centralized auditing and review workflows.
Why Advanced Verification Matters
Deepfake scams, AI-powered impersonation attacks, and synthetic misinformation are becoming increasingly sophisticated as generative AI keeps improving. In fact, Deloitte projects that AI-enabled fraud losses will reach $40 billion in the U.S. by 2027, up from $12.3 billion in 2023.
The AI Video Detector allows organizations to distinguish between standard editing workflows and potentially harmful manipulation or fraud, expanding Copyleaks’ capabilities to meet the moment. With detection capabilities spanning text, images, video, and audio, Copyleaks provides enterprises with a unified platform for analyzing AI-generated and manipulated content across every major aspect of an increasingly complex digital environment.
Get Started
AI Video Detector is now available for enterprise customers. To learn more about integrating video and audio verification into existing moderation, compliance, risk-management, or authentication workflows, connect with the Copyleaks team today.
FAQ
Yes — and this is increasingly important. Many modern deepfakes are “hybrid,” meaning they combine authentic footage with AI-generated elements like cloned audio or altered scenes. Copyleaks AI Video Detector is specifically built to handle this complexity, independently evaluating video frames, audio tracks, and cross-modal consistency to flag manipulation wherever it appears in a video’s timeline — not just when an entire video is synthetic.
Basic filters typically apply a single pass over content to return a broad verdict. Advanced AI video detection correlates frame, motion, audio, and metadata signals together to reach a more defensible and precise verdict — and in Copyleaks’ case, goes further by identifying exactly where in the timeline manipulation has occurred, rather than simply labeling a video as real or fake.
Any organization where media authenticity carries significant financial or legal risk. Key sectors include banking and financial services, where AI-generated content is increasingly used to bypass KYC verification processes; insurance, where manipulated footage is submitted to inflate claims; and e-commerce, where AI-altered product reviews and damage footage are used to file fraudulent refunds. Deepfake avatars used in live video calls to authorize fraudulent corporate transfers are also a growing concern across industries.
