Cyabra helps government agencies detect disinformation, foreign influence operations, impersonations, deepfakes, and synthetic content - so you can make fast, evidence-based decisions to protect national security and public safety.
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Uncover inauthentic influence campaigns targeting public institutions.
Monitor disinformation around voting, polling, or civic participation.
Validate what’s trending and whether it’s real before issuing responses.
Detect early warning signals of unrest or narrative escalation before it becomes physical risk.
A good deal of disinformation by nation-state actors is aimed at governments. Those governments have a responsibility, a duty, and a self-interest in protecting their own institutions. Cyabra's toolkit for governments has the ability to identify disinformation and prevent it from propagating.
Identify inauthentic activity linked to known state-affiliated actors or adversarial networks.
Track how narratives evolve, who’s amplifying them, and where they’re headed, and detect extremism and radicalism.
Detect coordinated behavior manipulating public discourse, causing public unrest, or influencing voter opinion.
Spot AI-generated or manipulated video, voice, and imagery used to deceive, mislead, or provoke.
From foreign election interference and fake news undermining trust in democracy to deepfakes impersonating world leaders, disinformation has been a global threat for years. Malicious foreign actors utilize the online realm to erode public trust, destabilize public institutions, and incite civil unrest. Cyabra gives government agencies, organizations and authorities the clarity to distinguish between free speech and coordinated attack.
Be notified instantly when disinformation, misinformation or other manipulation is detected around your brand, executives, or trending risky topics.
Cyabra analyzes accounts, not just mentions - so you see the who, not just the what.
Visualize how a disinformation campaign starts, spreads, and gains traction - across channels and clusters.
Multi-language NLP and bot behavior models trained for social and financial threat patterns.
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Deploy Cyabra within your secure environment for full data control and compliance
An early warning system that helps you detect and act on emerging threats
In-depth reports by Cyabra’s analysts, translating data into actionable insights
Fast onboarding, plug-and-play access for corporate teams
Custom integrations with existing financial risk systems
Public institutions operate in environments where coordinated disinformation can erode trust, distort policy debates, and undermine civic processes. Cyabra provides the intelligence needed to understand how narratives form and spread, and whether they reflect genuine public sentiment or manufactured influence.
Online discussions related to public institutions frequently include a mix of authentic participation alongside automated accounts, fake profiles, and coordinated campaigns. Cyabra identifies these patterns and reveals the extent to which inauthentic activity is shaping public discourse.
While standard tools primarily monitor volume and sentiment, Cyabra examines the underlying structure of the conversation. By mapping profile behavior and community clusters, it provides data on how narratives are distributed and whether that reach is being driven by coordinated networks.
Cyabra delivers decision-grade clarity during periods of increased public attention, policy discussions, or active information operations. It enables institutions to distinguish organic civic engagement from coordinated influence, supporting proportionate and evidence-led responses.
Cyabra analyzes publicly available online conversations and observable account behavior related to public institutions, policies, and civic topics, identifying patterns of coordinated inauthentic activity within digital discourse.
Understand how actors, behaviors, and content connect across platforms.
Distinguish organic activity from coordinated orchestration.
Translate evidence and coordination indicators into clear mitigation workflows.
