Impersonation Detection
Defending Identity in a Borderless Digital Landscape
Impersonation attacks aim to harm organizations, brands, and executives' reputations by creating fake profiles that mimic genuine entities to deceive followers, spread harmful content, or commit fraud. Cyabra's solution provides teams with the specialized tools needed to detect fake business pages and C-level impersonations across all major social networks.
Why Impersonation Detection?
Business & Executive Protection
Unchecked impersonations lead to significant global losses and erode the hard-earned trust between an organization and its stakeholders or community.
Advanced Similarity Modeling
Subtle variations in handles or "stolen" profile imagery can easily bypass manual reviews, leaving organizations vulnerable to sophisticated social engineering.
Multi-Platform Forensic Coverage
Impersonating profiles or pages are rarely isolated to one platform. A fragmented defense allows impersonators to exploit "blind spots" on smaller or less-monitored networks.
Similarity Scoring & Triaging
Without risk-based prioritization, teams are overwhelmed by "noise," missing the most dangerous imitation accounts that are actively engaging with the public.
We’re never going to be able to stop fake content being out there; it’s whack-a-mole. Now that we’ve got Cyabra as part of our data stack, we have unlocked opportunities that we weren’t able to do before. Being able to say 'this is fake and this is real' is not something that was in our capabilities.
Frequently Asked Questions
Cyabra’s solution utilizes an advanced similarity model that analyzes key identity markers, including usernames, biographies, and profile imagery, to detect accounts mimicking a specific entity. To provide clarity, Cyabra automatically identifies genuine profiles by cross-referencing verification signals like blue checkmarks or identifying the account with the highest established follower count.
Yes. By integrating with Cyabra’s broader Deepfake Detection model, Cyabra analyzes profile photos and media to expose the “invisible fingerprints” of AI-generated content used to bolster a fake profile’s appearance of authenticity.
Beyond one-time detections, Cyabra’s solution supports ongoing monitoring at intervals as frequent as every hour. This allows teams to receive real-time alerts whenever a new account matching an executive or brand / institution identity is created, ensuring that fraudulent profiles are identified before they can establish a foothold or engage a large audience.
Yes. Teams can configure custom similarity thresholds to define exactly how closely a profile must match the original identity before it is flagged. This ensures Cyabra’s solution focuses on the most relevant threats while reducing noise, allowing teams to prioritize accounts that pose the highest risk to brand or executive reputation.