Deepfake Detection
Cutting Through AI-Generated Deception
As digital manipulation evolves, so does our defense. Cyabra’s advanced deepfake detection tool analyzes images and videos with forensic precision to preserve authenticity in public discourse. By identifying invisible fingerprints of AI-generated media, Cyabra provides the forensic certainty required to make informed decisions in a fast-moving narrative landscape.
Why Deepfake Detection?
Forensic Media Analysis
Without forensic verification, sophisticated deepfakes can blur the line between real and fake, posing a growing threat to public safety and brand integrity.
Heatmap Visualization
Lacking clear reasoning for flagged media leaves teams unable to justify their response strategies when confronting manufactured attacks.
Spatio-Temporal Video Detection
High-impact videos that appear real in still frames but break down in motion can go viral before they are flagged by traditional analysis.
Coordinated Disinformation Defense
Deepfakes are rarely standalone assets; reacting to the media without identifying the inauthentic networks amplifying it allows viral damage to persist.
Disinformation has always been around, but it’s never been at the scale, velocity, and magnitude that we are experiencing today. Cyabra has demonstrated that it can combat disinformation at a speed and a cost that can truly counter AI’s capacity to generate and disseminate it.
Frequently Asked Questions
Cyabra’s solution uses a “digital magnifying glass” approach, employing spatio-frequency analysis for images and spatio-temporal analysis for videos to identify invisible patterns and unnatural movement. This allows Cyabra’s solution to generalize to new deepfake styles and evolving generative AI methods.
For video content, Cyabra looks beyond individual frames to analyze how those frames change over time, spotting inconsistencies in lip-syncing, blinking, or motion that are telltale signs of AI generation.
Deepfakes are weaponized to amplify foreign influence, polarize public opinion, and lead brand reputation attacks. In both sectors, these tools are essential to safeguard public trust and protect institutional credibility against AI-driven manipulation.
Cyabra provides a confidence score and a visual explanation through heatmap classification. This shows exactly where and why the content raised red flags, giving teams the evidence needed to act with confidence.