New model version V4 Apollo released! Read more →

Forensics Investigation

AI-generated audio and video are being used to fabricate evidence, manipulate recordings, and undermine the integrity of legal proceedings. Investigators need tools that can reliably distinguish real from synthetic.

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Forensics investigation deepfake analysis

8M

deepfakes online in 2025

$6.1M

average cost of a single wrongful conviction in the US

0

forensic tools with explainable AI audio deepfake detection

The challenge

Deepfakes are eroding evidence integrity

AI-generated voices and videos are now sophisticated enough to pass as authentic recordings. Forensic examiners, law enforcement, and media organizations face a growing challenge: every piece of audio or video evidence can now be questioned. Traditional analysis tools were not designed for AI-generated content, leaving critical gaps in investigative workflows.

Fabricated EvidenceVoice CloningFace SwapsManipulated RecordingsSynthetic Media

Aurigin’s granular detection, identifying which segments of a recording are real vs. fake, is the first tool I’ve seen with this capability. It directly addresses the biggest challenge in forensic audio authentication.

Audio/Video Forensics MSc · LJMU

Solution

Deepfake analysis built for investigators

Aurigin gives forensic examiners, law enforcement, and media analysts the tools to verify authenticity with confidence and produce court-admissible results.

Granular analysis

Goes beyond a simple real/fake verdict. Identifies exactly which segments of a recording are genuine and which are AI-generated, giving investigators actionable, time-stamped results.

Court-ready reporting

Every analysis produces a detailed forensic report with metadata, confidence scores, timestamps, and chain-of-custody documentation suitable for legal proceedings.

Benchmark-validated accuracy

Detection models are evaluated against standard academic benchmarks including ASVspoof and In-The-Wild datasets. Transparent metrics you can verify, not black-box claims.

Flexible deployment

Cloud platform, on-premise, or air-gapped environments. Batch upload for large case files. Full data sovereignty with zero evidence stored on external servers.

Who it’s for

Built for the people who verify truth

Forensics Labs

Audio and video forensic examiners who need to authenticate evidence, detect tampering, and produce defensible expert reports.

Law Enforcement

Investigators and intelligence analysts who need to verify recordings, intercepts, and digital evidence in criminal and national security cases.

Media Forensics

Newsrooms, fact-checkers, and media verification teams who must authenticate user-generated content before publication.

Resources

Latest insights on media forensics

Research, case studies, and analysis on the evolving deepfake threat to evidence integrity.

Aurigin.ai joins forces with MCA India’s Deepfakes Analysis Unit to combat misinformation
Blog

Aurigin.ai joins forces with MCA India’s Deepfakes Analysis Unit to combat misinformation

We’re pleased to announce a collaboration between Aurigin.ai and the Deepfakes Analysis Unit (DAU) of the Misinformation Combat Alliance (MCA India). A partnership aimed at strengthening the verification of AI-generated and manipulated audio content. Empowering fact-checking with advanced audio forensics The DAU, one of India’s leading fact-checking and deepfake-analysis teams, has integrated Aurigin.ai’s audio deepfake detection engine into its verification workflow. This addition enhances t

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Deepfakes Under Scrutiny: How the EU AI Act is Changing the Game
Blog

Deepfakes Under Scrutiny: How the EU AI Act is Changing the Game

As of February 2, 2025, the European Union’s Artificial Intelligence Act (AI Act) has implemented a prohibition on AI systems that pose unacceptable risks, underscoring the EU’s commitment to addressing challenges posed by malicious AI applications, including certain uses of deepfakes. Deepfakes, AI-generated or manipulated content that closely mimics real individuals have evolved from technological novelties to significant threats, with incidents surging by 700% last year targeting financial

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Apollo V4: From Benchmarks to Everyday Trust
Blog

Apollo V4: From Benchmarks to Everyday Trust

Apollo V4 extends industry-leading deepfake detection into the full complexity of real-world communication. Building on Apollo's position at the top of public benchmarks, V4 goes further, delivering robust protection across the compression pipelines of Microsoft Teams, Google Meet, and Zoom, through codec degradation and network variability, and across 40+ languages including underrepresented dialects. For organisations safeguarding against AI voice fraud, this means continuous, reliable detecti

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Authenticate every piece of evidence

Start analyzing audio and video files for AI-generated manipulation in minutes.

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