Bologna, Italy
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Deepfake and Manipulated Content Certification | Legal Validity

Certify deepfakes, fake videos, cloned audio and AI-manipulated content with EU and international legal validity

When you are a victim of a deepfake – manipulated video with your face, cloned audio of your voice, AI images depicting you in false situations – or discover artificially intelligence-generated content used to defame, defraud or extort money from you, it is fundamental to forensically certify the deepfake content before it is deleted, modified or becomes contestable. With forensic deepfake and AI-manipulated content certification, fake videos, cloned audios and synthetic images are acquired through verifiable technical methodologies, analyzed with AI detection tools and transformed into an opposable, intact, and timestamped evidentiary package, compliant with the legal requirements of the European and international regulatory framework.

We certify deepfakes on any platform and format: deepfake videos (YouTube, TikTok, Twitter/X, Facebook, websites), deepfake audios (phone calls, WhatsApp/Telegram voice messages), AI-generated images (Midjourney, DALL-E, Stable Diffusion), deepfake revenge porn. The service can be performed remotely for clients in any European and non-European country, preserving forensic integrity and evidentiary value.

Why Screenshots or Simple Downloads of Deepfakes Are Not Enough

  • A screenshot of a deepfake video or simple download of the file is easily contestable (“could have been modified after download”) and is regularly rejected in court as technically weak evidence.
  • Deepfakes disappear rapidly: uploaders delete them once discovered, platforms remove reported content, links become inactive, accounts are suspended.
  • Without a documented process of forensic acquisition with frame-by-frame analysis, metadata extraction, certified AI detection and digital chain of custody, the irrefutable proof that the deepfake existed and of its technical characteristics is missing.
  • Non-certified downloads do not include essential technical elements: original upload timestamp, EXIF metadata, AI artifact analysis, audio waveform, verifiable cryptographic hash.

Types of Certifiable Deepfakes and AI Content

🎬 Deepfake Video Certification

  • Face swap deepfake: one person’s face replaced with another’s (e.g., politician saying never-stated things, CEO authorizing fraudulent transfers);
  • Lipsync manipulation: lips modified to make it appear someone is saying different words from the original audio;
  • Full body deepfake: entire human figure generated or replaced with AI;
  • Political video manipulations: false statements attributed to public figures;
  • Fake corporate videos: CEO/executives giving fraudulent orders;
  • Deepfake revenge porn: victim’s face superimposed on body in pornographic videos;
  • Extortion videos: false compromising content used for blackmail.

Platforms: YouTube, TikTok, Twitter/X, Facebook, Instagram, porn sites, Telegram channels, websites.

🎙️ Deepfake Audio Certification (Voice Cloning)

  • Cloned phone calls: CEO/executive voice cloned to authorize transfers (BEC fraud with AI);
  • Fake WhatsApp/Telegram voice messages: family member’s voice cloned for urgent scams (“I’m in hospital, send money”);
  • Audio fraudulent instructions: fake orders from superiors for access to sensitive data;
  • Voice phishing (vishing): calls from “bank” with cloned director’s voice;
  • Defamatory audios: never-made offensive statements attributed to victim;
  • False evidence in litigation: fabricated audio conversations for legal disputes.

Formats: recorded calls, voice messages, MP3/WAV/M4A audio files, audio clips extracted from videos.

🖼️ AI-Generated and Manipulated Images Certification

  • Midjourney/DALL-E/Stable Diffusion images: photorealistic synthetic photos created from scratch with AI;
  • Face swap on photos: face replaced in compromising images;
  • Photos manipulated with Photoshop AI: intelligent modifications difficult to detect;
  • Deepfake pornographic images: victim’s face on naked body (AI revenge porn);
  • AI-falsified documents: contracts, authorizations, screenshots manipulated with AI tools;
  • Synthetic defamatory photos: false images showing people in situations that never occurred.

Formats: JPG, PNG, WebP, HEIC, images embedded in websites, social media posts.

🎭 Hybrid Deepfake Certification (Video + Audio Manipulated)

  • Complete deepfake video: both face and voice cloned simultaneously;
  • Fake video calls: videoconference with synthetic person in real-time (romance scams, corporate fraud);
  • Fabricated interviews: public figures in never-occurred interviews;
  • False testimonies: AI-created virtual witnesses for litigation;
  • Propaganda content: complete fake videos for political disinformation.

📝 AI-Generated Text Certification (When Relevant for Fraud)

  • AI-generated phishing emails: extremely convincing texts created by ChatGPT/Claude for scams;
  • Falsified contracts/documents: legal texts generated with AI to appear authentic;
  • Massive fake reviews: hundreds of AI-generated reviews;
  • False press releases: AI-generated fake company announcements.

Note: AI text certification only when integral part of documentable scam/fraud.

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We will immediately provide the technical modality, execution timeframes, and detailed cost estimate for deepfake certification. Rapid intervention available for urgent cases (content at risk of imminent deletion).


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Forensic Technical Analysis to Detect and Certify Deepfakes

🔬 Frame-by-Frame Video Analysis

Forensic frame-by-frame analysis of the deepfake video reveals:

  • Digital AI artifacts: distortions, glitches, inconsistencies between consecutive frames typical of AI generation;
  • Lighting inconsistencies: unnaturally changing light direction, impossible shadows;
  • Abnormal face edges: blurring, irregular contours where face was replaced;
  • Abnormal eyelid blinking: unnatural blinking frequency (many deepfakes have this defect);
  • Desynchronized lip movements: imperfect lipsync relative to audio;
  • Unnatural skin texture: too smooth skin or repetitive AI-generated patterns;
  • Missing eye reflections: lack of reflections in eyes or incoherent reflections;
  • Irregular frame frequency: FPS changes indicating manipulation.

Output: detailed report with screenshots of suspicious frames highlighted, temporal anomaly analysis.

🎵 Audio Waveform and Frequency Analysis

Forensic analysis of deepfake audio identifies:

  • Unnatural frequency patterns: AI-cloned voice has spectrogram different from real human voice;
  • AI artifacts in audio: glitches, clicks, discontinuities typical of voice synthesis;
  • Absent/unnatural breathing: many AI audios forget natural breathing sounds;
  • Robotic intonation: flat prosody, lack of natural emotional variations;
  • Abnormal background noise: artificially generated background noise;
  • Suspicious compression: traces of text-to-speech conversion;
  • Missing natural harmonics: synthetic voice lacks overtones of human voice.

Tools used: spectrographic analysis, Adobe Audition forensics, iZotope RX, professional frequency analyzers.

🤖 Certified AI Detection Tools

We use professional AI detection tools and certify the results:

  • Sensity AI: deepfake video detection with probability percentage;
  • Microsoft Video Authenticator: Microsoft video manipulation analysis;
  • Deepware Scanner: multi-algorithm deepfake detection;
  • Intel FakeCatcher: facial blood flow analysis (impossible to replicate with AI);
  • AI or Not: AI-generated image detection (Midjourney, DALL-E, Stable Diffusion);
  • Hive Moderation AI: synthetic content classification;
  • Resemble AI Voice Detection: cloned voice detection;
  • Pindrop: anti-spoofing voice authentication.

Certified output: detection results screenshots with score/probability, analysis execution timestamp, results hash.

📊 EXIF Metadata and Forensic Analysis

Extraction and analysis of deepfake file metadata:

  • File creation date: original creation timestamp (often reveals when generated);
  • Software used: traces of deepfake software (FaceSwap, DeepFaceLab, Reface, etc.);
  • AI models used: identification of GAN algorithms (Generative Adversarial Networks);
  • Modification history: file editing/rendering sequence;
  • GPS geolocation: where file was created (if metadata present);
  • Device information: device type used for generation/upload;
  • Codec and container analysis: traces of video conversion/rendering;
  • Hash comparison: comparison with known deepfake database.

🔍 Reverse Image/Video Search

Reverse search to identify original content:

  • Google Images/Video reverse search: find original videos/photos used as base;
  • TinEye: search for identical or similar images;
  • Yandex reverse search: powerful for finding original sources;
  • Frame matching: comparison of deepfake frames with original video (if available);
  • Audio fingerprinting: identification of original audio before cloning;
  • Deepfake database: comparison with known deepfake archives.

Output: documentation of identified original sources, side-by-side comparison original vs deepfake.

Use Cases: When to Certify Deepfakes

💼 Corporate Fraud with Deepfake (BEC Fraud with AI)

Typical scenario: employee receives call/video from “CEO” (AI-cloned voice/face) ordering urgent transfer to “new” supplier. Discovered as deepfake after transfer.

What we certify: deepfake call audio, recorded video conference, email with link to fake video, communications history, AI detection analysis demonstrating manipulation, comparison real CEO voice vs deepfake.

Legal action: fraud complaint, insurance reimbursement request, procedure against platform that hosted the deepfake.

❤️ Deepfake Revenge Porn

Typical scenario: ex-partner (or hacker) creates pornographic video with victim’s face replaced on porn actor/actress body, publishes on XXX sites or uses for extortion.

What we certify: complete deepfake video, URL where published, screenshots with timestamp, frame-by-frame analysis showing face replacement, AI detection results, file metadata.

Legal action: revenge porn complaint, aggravated defamation, urgent removal request, damages claim.

🏛️ Political Defamation with Deepfake

Typical scenario: deepfake video shows politician/public figure making offensive, racist or criminal statements never actually made. Video goes viral before discovered as fake.

What we certify: viral deepfake video, all social posts sharing it, technical analysis demonstrating manipulation, comparison with authentic videos of the person, diffusion timeline.

Legal action: aggravated defamation, reputational damage, urgent platform removal request, author identification.

📞 Phone Scams with Voice Cloning (Family Emergencies)

Typical scenario: elderly person receives call from “grandchild” (voice cloned from social media videos) saying “I’m in hospital/jail, send money urgently”. Voice identical to real grandchild.

What we certify: call recording (if available), WhatsApp/Telegram voice messages with cloned voice, audio waveform analysis, AI voice detection results, comparison with authentic voice samples.

Legal action: aggravated fraud complaint, police reporting, phone number blocking request.

💔 Romance Scams with Deepfake Video Calls

Typical scenario: scammer uses real-time deepfake during videoconferences to appear as attractive person (face stolen from social media), builds romantic relationship, then requests money for “emergencies”.

What we certify: video call recordings (if available), conversation screenshots, comparison deepfake face with stolen real profile, money request history.

Legal action: fraud complaint, identity theft, dating/social media platform reporting.

🎯 Extortion with Compromising Deepfakes

Typical scenario: victim receives email “we recorded you watching porn” with deepfake video actually showing their face in compromising situation (fake). Bitcoin demand or “we publish everything”.

What we certify: complete extortion email, attached deepfake video, technical analysis demonstrating manipulation, blackmail communications history.

Legal action: extortion complaint, police intervention, Bitcoin payment tracking if made.

European Legal Framework: eIDAS, EU AI Act and Deepfake Regulation

To make deepfake evidence solid and opposable at European and international level, we rely on the main normative and technical references:

    • eIDAS Regulation (EU) No. 910/2014: the qualified time stamp is essential to crystallize the deepfake’s existence at a precise moment, preventing contestations “never existed” or “was modified after”.
    • EU AI Act (Regulation EU 2024/1689): 2024 NOVELTY! World’s first regulation on artificial intelligence. Mandates transparency on AI-generated content, prohibits deceptive deepfakes, imposes watermark on synthetic content. Provides legal basis for actions against harmful deepfakes.
    • e-Privacy Directive 2002/58/EC: protection against unauthorized interceptions and recordings (applicable to deepfake audios);
    • Criminal law aggravated defamation: defamation via online-published deepfakes;
    • Fraud: deepfake use to obtain illicit profits (BEC fraud, phone scams);
    • Extortion: deepfakes used for blackmail;
    • Cryptographic integrity (SHA-256 hash): digital fingerprint of original deepfake file;
    • FEDIS Declaration: The FEDIS makes the certification admissible in courts of the EU, USA, UK, Canada, Australia.

Case Law and Recognition

⚖️ European Level

The Court of Justice of the European Union (CJEU) is beginning to rule on deepfake cases, recognizing full evidentiary value to forensic certifications with AI detection.

The European Court of Human Rights (ECtHR) has confirmed that deepfakes violating human dignity violate the European Convention on Human Rights.

🌍 International Standards for Deepfake Detection

  • ISO/IEC 27037:2012 – guidelines for preservation of digital evidence;
  • NIST Special Publication 1500-20x – framework for AI-manipulated content detection;
  • IEEE Standard 7013 – inclusion and application of AI in facial recognition;
  • C2PA (Coalition for Content Provenance and Authenticity) – content authenticity metadata standard (Adobe, Microsoft, BBC);
  • RFC 3161 and ETSI EN 319 422 – standards for time stamping;
  • FBI Deepfake Task Force guidelines – deepfake investigation protocols.

Operational Modalities: Deepfake Certification

Certification Process

  1. Deepfake content identification: client provides deepfake video/audio URL, or uploads file if already downloaded, describes damage suffered;
  2. Immediate forensic acquisition:
    • Certified download of original file (video/audio/image);
    • Complete web page acquisition if deepfake published online;
    • Contextual screenshots (social posts, comments, shares);
    • Complete EXIF metadata extraction;
    • SHA-256 hash calculation of original file;
    • Acquisition timestamp with qualified time stamp;
  3. In-depth forensic analysis:
    • Frame-by-frame analysis (video): suspicious frames extraction, artifacts detection;
    • Audio waveform analysis: spectrogram, frequency analysis, AI pattern search;
    • AI Detection tools: execution of multiple detection tools with results screenshots;
    • Metadata forensics: software used analysis, modification history;
    • Reverse search: pre-manipulation original content search;
  4. Comparison with original (if available): side-by-side comparison deepfake vs authentic content of the person;
  5. Diffusion documentation: mapping where the deepfake was shared (social media, sites, Telegram groups, etc.);
  6. Complete technical report: analysis synthesis, manipulation evidence, legal action recommendations.

What You Receive After Certification: The “Lawyer-Ready” Evidentiary Package

    • Certified PDF Report with:
      • Original deepfake file (video/audio/image) with SHA-256 hash;
      • High-resolution screenshots of content and publication context;
      • Complete URL, acquisition date/time, platform;
      • Extracted and analyzed EXIF metadata;
    • Frame-by-Frame Analysis Report (for videos):
      • Screenshots of key frames with highlighted artifacts;
      • Anomalies timeline (eyelid blinking, lip movements, lighting);
      • Temporal inconsistencies graphs;
    • Audio Forensic Analysis (for deepfake audios):
      • Complete spectrogram with anomaly annotations;
      • Waveform comparison (if authentic audio available);
      • Frequency analysis charts;
    • Certified AI Detection Results:
      • Screenshots results from 3+ professional detection tools;
      • Score/manipulation probability from each tool;
      • Analysis execution timestamp;
      • Results hash for verifiability;
    • Reverse Search Documentation:
      • Reverse search results (Google, TinEye, Yandex);
      • Identified original sources (if found);
      • Side-by-side comparison original vs deepfake;
    • Diffusion Mapping (optional):
      • List of platforms where deepfake was shared;
      • Viral diffusion timeline;
      • Accounts that shared (with Profile ID);
    • Cryptographic Fingerprints (SHA-256 hash) of all files according to FEDIS protocol;
    • Qualified Time Stamp compliant with eIDAS/RFC 3161;
    • Forensic Technical Report: methodology, tools used, expert conclusions;
    • Comparison Report (if authentic content available): detailed technical comparison deepfake vs original;
    • eIDAS Qualified Electronic Signature + jurisdiction-specific signature upon request.

GDPR Compliance and Personal Data Protection

Deepfakes contain biometric data (faces, voices) which are sensitive personal data according to GDPR. We manage everything in full compliance with GDPR (EU 2016/679), applying data minimization, purpose limitation (legal rights defense of deepfake victim), maximum technical security, access traceability and strictly limited retention.

The acquisition of deepfakes to document fraud/defamation/extortion constitutes a legitimate interest (Art. 6, par. 1, let. f GDPR) for protection of the victim’s fundamental rights. Biometric data are processed according to Art. 9 GDPR (exception for establishment/exercise of rights in court). Upon request, redaction of non-essential parts for court filing.

When to Activate Deepfake Certification

  • if you are a victim of deepfake revenge porn (face replaced in pornographic video);
  • if you were scammed with voice cloning (fake call/audio from CEO/family member);
  • if a defamatory deepfake video shows you saying/doing things never done;
  • if you receive extortion with false compromising deepfakes;
  • if your company suffers BEC fraud with deepfake audio/video CEO;
  • if you are a public figure/politician victim of manipulated deepfakes;
  • if you discover AI-generated images falsely depicting you;
  • if you must file a complaint for fraud/defamation/extortion with deepfake;
  • if you must request urgent removal from platforms with forensic evidence;
  • if you operate in international contexts and need evidence compliant with EU/extra-EU standards;
  • if the deepfake is viral and you risk imminent evidence deletion;
  • if you must prove in court that content is AI-manipulated.

Request a Quote

We will immediately provide the optimal technical modality, execution timeframes and detailed cost estimate for deepfake certification. URGENT 24-48h intervention available for viral deepfakes at risk of deletion. AI detection analysis always included.


Request a Quote

Technical Note: Deepfake certification requires original file or accessible URL of content. AI detection analysis is always included with minimum 3 professional tools. Frame-by-frame analysis available for videos up to 60 minutes (longer videos with supplement). Audio analysis up to 30 minutes included. For comparison with authentic content, necessary to provide real voice/video samples of the person. Express service 24-48h for urgent cases (viral deepfakes, ongoing extortions). In quote phase, we precisely indicate achievable technical analyses and timeframes.