When a large-scale military operation against Iranian infrastructure launched on February 28, 2026, coordinated activity appeared almost simultaneously across multiple platforms. Networks of inauthentic accounts on TikTok, Facebook, X, and Instagram began distributing AI-generated videos depicting Iranian strikes on regional landmarks and cities, with 19% of accounts involved in amplifying the campaign.
The activity centered around three recurring narratives designed to portray Iran as the dominant and victorious actor in the conflict, amplified through synchronized posting behavior and repeated media assets distributed across large account networks.
The campaign displayed clear indicators of coordination: identical video assets, synchronized posting windows, repeated hashtag clusters, and cross-platform distribution patterns pointing to centralized content production rather than independent user activity.
This guide, created by Cyabra and VaynerX, reveals how counterfeit culture is quietly influencing audience perception and distorting the insights marketers rely on most. Using real-world examples and Cyabra’s data-backed ABC Model, it provides a step-by-step framework to detect inauthentic behavior, measure genuine engagement, and make brand decisions based on truth, not noise.
This guide gives communications professionals a clear framework for spotting early warning signs, assessing risks, and applying strategies that keep your brand in control of the narrative. Get practical, actionable insights designed to strengthen your defenses and safeguard trust in an environment where misinformation never sleeps.
Deepfakes are no longer a fringe issue. From viral CEO impersonations to multimillion-dollar scams, the risks are real and rising. When one of these fabricated videos targets your brand, every second counts. This guide provides a structured 5-step response framework. You’ll learn how to detect threats early, contain them effectively, and communicate with confidence while building long-term safeguards for your reputation.
