How Iran Used AI to Fight a War Online
Cyabra analyzed coordinated online activity surrounding the ongoing conflict with Iran, uncovering a large-scale influence operation that generated over 145 million views across major social…
Cyabra helps insights and analytics teams detect fake accounts, fabricated trends, and inauthentic engagement - so your data reflects reality and not manipulation.
GET A PERSONALIZED DEMOTrack emerging conversations, narratives, and hashtags about your brand, products, or executives across all social platforms as they happen.
Understand whether a narrative is driven by real customers or artificially amplified by fake profiles, bot networks, and trolls.
Get notified the moment a new narrative spikes, complete with sentiment tracking and trajectory predictions.
Identify who is genuinely driving the conversation and verify the authenticity of their followers.
Uncover false traction before it distorts analysis.
See how stories form and spread, and who’s behind them.
Filter fake profiles from real customers or fans.
Keep inauthentic signals out of your reports.
To protect the reputation of a brand, making sure that we understand what is fake and what is real is critical. Now that we've got Cyabra as part of our data stack, we've got new ways to protect our clients from misinformation.
In-depth reports by Cyabra’s analysts, translating data into actionable insights
An early warning system that helps you detect and act on emerging threats
Fast onboarding, plug-and-play access for corporate teams
Deploy Cyabra within your secure environment for full data control and compliance
Custom integrations with existing financial risk systems
Fake accounts, bot networks, and coordinated inauthentic behavior pollute social data at scale. When analytics teams report on trends, sentiment, or audience behavior without filtering for authenticity, their insights are built on a distorted picture. Cyabra removes that noise, ensuring the data driving strategic decisions reflects real people and real behavior.
Cyabra’s proprietary algorithms analyze account behavior, posting patterns, network structures, and content signals to distinguish authentic engagement from bot-driven amplification, coordinated networks, and fabricated trends. The result is a clean data layer that analytics teams can trust.
When a trend spikes unusually fast, Cyabra immediately assesses whether the traction is organic or artificially driven by inauthentic accounts. This prevents analytics teams from escalating false signals to leadership and ensures that emerging trends flagged for action are real.
Yes. Cyabra’s cluster and influence mapping reveals who is actually driving conversation around a brand or topic, and whether their following is made up of real accounts or inflated by bots and fake profiles. This is particularly valuable for influencer evaluation, partnership decisions, and campaign performance analysis.
Cyabra is available via API for custom integrations into existing data stacks, as well as through a SaaS platform and managed service offering. For organizations that require full data control, on-premises deployment is also available. Analytics teams can plug Cyabra’s authenticity layer directly into their workflows to enrich data before it reaches dashboards and reports.
Understand how actors, behaviors, and content connect across platforms.
Distinguish organic activity from coordinated orchestration.
Translate evidence and coordination indicators into clear mitigation workflows.