Professional Deepfake DetectionCourt-Admissible Results
According to Home Security Heroes' 2023 State of Deepfakes report, deepfake video volume rose roughly 550% from 2019 to 20231. Petronella Technology Group applies multi-layer detection pipelines combining pixel-level GAN artifact analysis, metadata forensics, temporal pattern review, and provenance tracking. Academic research benchmarks these pipelines at up to 96% accuracy on standard evaluation datasets2; real-world accuracy depends on attack sophistication and how recently detection models were retrained.
Detection Capabilities
Multiple analysis layers for maximum accuracy.
Image authentication with GAN artifact and metadata forensics
Video deepfake detection with frame-by-frame temporal analysis
Audio verification with spectral analysis and voice clone detection
Court-admissible forensic reports with chain of custody
Ongoing monitoring for deepfakes targeting key personnel
Deepfake Detection Services
Image Authentication
Pixel-level GAN artifact detection, EXIF metadata forensics, and reverse provenance checks verify origin and editing history.
Video Deepfake Detection
Frame-by-frame temporal analysis catches inconsistencies in blinking, facial landmarks, and audio-visual synchronization.
Audio Authentication
Spectral analysis and prosody verification detect voice clones, spliced recordings, and AI-generated speech with confidence scores.
Legal Evidence Preparation
Court-admissible reports with documented methodology, hash-verified chain of custody, and expert witness testimony for federal and state proceedings.
Frequently Asked Questions
How does deepfake detection work?
Multiple analysis layers are combined: pixel-level GAN artifact analysis, metadata forensics, temporal pattern review across frames, and provenance tracking. Multi-modal detection has been benchmarked in peer-reviewed research at up to 96% accuracy on standard evaluation datasets2.
Can all deepfakes be detected?
No method guarantees 100%, and academic benchmarks do not equal real-world accuracy against novel attacks. Effective defense requires continuous model retraining as generative models improve. We combine pixel analysis, metadata forensics, temporal patterns, and provenance tracking, and we document uncertainty in every report.
Are results admissible in court?
Yes, when prepared with documented methodology, chain of custody, and expert testimony. Our reports meet federal and state evidentiary standards with 24+ years of digital forensics experience.
How long does analysis take?
Single image: 1-3 business days. Video under 10 minutes: 3-5 days. Audio: 2-4 days. Rush services available for legal deadlines.
Related Resources
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Citations
- Home Security Heroes, 2023 State of Deepfakes report. Deepfake volume growth 2019 to 2023. securityhero.io/state-of-deepfakes
- Ikram, Chambial and Sood, "A Robust Approach to Multimodal Deepfake Detection," 2023. Accuracy benchmarks on standard evaluation datasets. pmc.ncbi.nlm.nih.gov PMC10299653