Cyabra Launches Deepfake Detection

Cyabra Launches Deepfake Detection to Combat Sophisticated Media Manipulation

Cyabra is excited to announce the launch of its new Deepfake Detection Tool, analyzing videos and images with precision. Here’s what you need to know about this growing threat and about Cyabra’s innovative solution.

Deepfakes are AI-generated media – videos, images, or audio recordings – that manipulate or fabricate a real person’s appearance, making them appear to say or do things they never actually did. Deepfakes are created using deep learning techniques, models that can analyze and replicate facial movements, speech patterns, and other characteristics with high realism.

The Real Risk of Deepfakes

While deepfakes began as a creative, sophisticated way of fabricating media for entertainment purposes, they have evolved into a well-honed weapon

In recent years, Cyabra witnessed deepfakes increasingly weaponized by bad actors to spread disinformation and manipulate public opinion. Today, they are used to disseminate fake news, commit fraud and identity theft, and circulate non-consensual explicit content. Cybersecurity experts warn that these attacks are becoming more sophisticated and widespread. In 2025, the World Economic Forum flagged deepfakes as a major threat to global elections – especially when paired with social engineering tactics.

A deepfake video of Ukrainian President Volodymyr Zelenskyy, falsely portraying him as announcing to the Ukrainian people that he had decided to surrender to Russia.


Cyabra has witnessed not only a rise in the use of deepfakes, but also their central role in the ABCs of disinformation: Actors, Behavior, and Content. The most impactful deepfakes are rarely standalone assets – they’re deployed as part of coordinated campaigns involving bot networks, hashtag hijacking, and toxic false narratives. Deepfakes are embedded in long, well-planned efforts to manipulate public opinion and serve as a powerful amplifier for bad actors’ agendas.

The Solution: Cyabra’s Deepfake Detection 

As part of Cyabra’s mission to protect authenticity in the online realm, we are introducing our new deepfake detection solution, developed and designed to confront those sophisticated threats. 

Cyabra’s Deepfake Detection Tool in action: analyzing a video and identifying it as a deepfake.


Powered by an advanced heatmap visualisation and spatio-temporal analysis, Cyabra’s advanced deepfake detection tool cuts through the most advanced AI-generated deception, analyzing images and videos with forensic precision and presenting the reasoning behind the analysis. 

Cyabra’s model undergoes continuous development, keeping it one step ahead of the evolving technology of deepfake attacks. 

Deepfakes: a Spark in the Wildfire of Disinformation 

Deepfakes are rarely used in isolation. They’re weapons in coordinated disinformation campaigns. Just like bot networks, fake profiles, false and toxic narratives, fake news and misinformation, they are used to influence and manipulate public opinion, and sew chaos, confusion and division. 

For that reason, Cyabra’s deepfake detection tool has been created as part of a bigger whole.” It integrates seamlessly into Cyabra’s comprehensive solution, combining deepfake detection with authenticity analysis, narrative tracking, GenAI content detection, and real-time 24/7 monitoring to expose the full scope of digital manipulation. Just as Cyabra identifies fake accounts using hundreds of behavioral signals and clear reasoning, our deepfake model uses the same advanced algorithms to detect manipulated media.

Cyabra’s deepfake detection is the newest addition to the company’s platform, providing governments and major brands with a comprehensive solution to uncover, monitor, analyze, and defend against threats emerging from the online realm. Cyabra turns social media discourse into actionable insights, helping organizations make informed decisions with confidence and offering real-time alerts on risks and trends. Contact Cyabra to see the new Deepfake Detection tool in action, and to understand how it can help you safeguard against online manipulations.

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