Defending Your Brand from AI Misuse: A Practical Playbook Against Image/Video Deepfakes in the Age of Sora2 & WAN2

Session

Management Business and Economics

Description

Advances in generative models—such as WAN 2.x for photorealistic imagery and Sora 2–class video systems—enable low-cost, high-fidelity synthetic media that can impersonate executives, fabricate ads, or stage brand incidents in minutes. This practitioner session delivers a concrete defense playbook for SMEs and media teams operating in Kosovo and Albania. We begin with a threat model for marketing and commerce: executive impersonation, fake promotions, counterfeit product videos, and manipulated “news.” We then present prevention controls: brand-asset governance, account hardening (2FA, role separation), content provenance (C2PA-style manifests), watermarking where supported, and “red-flag” policies for UGC. For detection, we combine operational checks (source triangulation, context consistency, metadata capture) with practical tooling: frame-level artifacts, audio-lip sync drift cues, reverse-image/video search, and model-agnostic classifiers—always with a human-in-theloop to avoid over-reliance on detectors. Finally, we detail an incident runbook tailored to Balkan realities: evidence logging, platform takedown flows, legal notifications, and a transparent comms template that limits amplification while restoring trust. We propose a minimal KPI set (MTTD/MTTR, takedown rate, false-positive cost) and a 30-day readiness plan covering training and tabletop drills. Attendees leave with checklists, policy templates, and a 48-hour response workflow they can adopt immediately.

Keywords:

synthetic media; deepfakes; brand safety; incident response; content provenance; AI security; Kosovo; Albania

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-41-2

Location

UBT Lipjan, Kosovo

Start Date

25-10-2025 9:00 AM

End Date

26-10-2025 6:00 PM

DOI

10.33107/ubt-ic.2025.421

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Oct 25th, 9:00 AM Oct 26th, 6:00 PM

Defending Your Brand from AI Misuse: A Practical Playbook Against Image/Video Deepfakes in the Age of Sora2 & WAN2

UBT Lipjan, Kosovo

Advances in generative models—such as WAN 2.x for photorealistic imagery and Sora 2–class video systems—enable low-cost, high-fidelity synthetic media that can impersonate executives, fabricate ads, or stage brand incidents in minutes. This practitioner session delivers a concrete defense playbook for SMEs and media teams operating in Kosovo and Albania. We begin with a threat model for marketing and commerce: executive impersonation, fake promotions, counterfeit product videos, and manipulated “news.” We then present prevention controls: brand-asset governance, account hardening (2FA, role separation), content provenance (C2PA-style manifests), watermarking where supported, and “red-flag” policies for UGC. For detection, we combine operational checks (source triangulation, context consistency, metadata capture) with practical tooling: frame-level artifacts, audio-lip sync drift cues, reverse-image/video search, and model-agnostic classifiers—always with a human-in-theloop to avoid over-reliance on detectors. Finally, we detail an incident runbook tailored to Balkan realities: evidence logging, platform takedown flows, legal notifications, and a transparent comms template that limits amplification while restoring trust. We propose a minimal KPI set (MTTD/MTTR, takedown rate, false-positive cost) and a 30-day readiness plan covering training and tabletop drills. Attendees leave with checklists, policy templates, and a 48-hour response workflow they can adopt immediately.