OSINT Training: Recognizing & Assessing Deepfake Media (DIC Munich 2026 OSINT Pre-Conference Training)

OSINT Training: Recognizing & Assessing Deepfake Media (DIC Munich 2026 OSINT Pre-Conference Training)

In short

This pre-conference training introduces a structured OSINT approach to identifying and assessing synthetic (“deepfake”) media. It provides participants with practical methods to trace the origin, context, and credibility of suspicious visual content—skills essential for investigative verification and misinformation prevention. The approach is not solely technical model analysis, but also includes how open-source intelligence methods can detect, interpret, and respond to synthetic or manipulated media in real-world information environments.

The training builds progressive competencies: understanding how deepfakes emerge, spread, and influence online ecosystems; applying structured provenance, metadata, and visual analysis to verify imagery and video content; and mapping networks, platforms, and communities involved in their distribution. Through these steps, participants gain a systematic workflow for assessing authenticity and contextualizing emerging threats.

By combining investigative reasoning, structured OSINT techniques, and situational awareness, the training supports practitioners in journalism, law enforcement, and digital forensics. The final modules include guided analysis exercises and discussions on prevention, reporting, and practical response options aimed at reducing harm and restoring trust in visual media.

Date

27 Apr 2026

Deadline

10 Apr 2026

Duration

1 day

Language

Englisch

Timetable

.:
09:00 - 17:00

Tutor

Matthew Dompier
Matthew Dompier
Consultant at Blindspot Collaborative, former Criminal Intelligence Offier at CEPOL

Location

Tagungszentrum Kolpinghaus, Adolf-Kolping-Straße 1, 80336 Munich, Germany

Fees

EUR 750 (excl. VAT)

Participant

Billing address

Delivery address

Delivery address corresponds to billing address

Please fill in all mandatory fields (*).
Please enter a valid e-mail.
Please accept the general terms and conditions as well as the privacy policy.
Please accept the cancellation policy.
Please confirm that you have read and accept the field "for your information".
Please fill in the information about arriving with a vehicle.

course details

Module 1 – Introduction

Introductions of the speakers
Training roadmap
House-keeping

Module 2 – Deepfake Landscape

Definitions and vocabulary
Present status and case studies
Social media dynamics
Types of threats
Methodological process of investigations

Module 3 – Structured Provenance & Media Analysis

Source analysis of media
Open-source tools to help analyze media
Commercial tools to help analyze media
Metadata analysis of media
Visual analysis of media

Module 4 – Ecosystem & Community Mapping

Deepfake Communities: CSAM-focused
Botnets and Catfish network
Nudify apps and early warning signals

Module 5 – Practical exercises

Team exercise
Group review and voting

Module 6 – Prevention, reporting & ressources

Prevention resources
Reporting pathways
Tools and resources: commercial & open-source

Module 7 – Closing of the training

Key takeaways
Q&A and closing

Close
Subscribe to our newsletter:

Contact data

Please choose your area:

Corporate
Private
Law Enforcement
Government

I accept the privacy policy

Please fill in all mandatory fields (*).
Please enter a valid e-mail.
Please choose your area.
Please accept the privacy policy.