Cyabra is an AI-based platform designed to detect and analyze disinformation, fake profiles, and inauthentic activity across social media platforms. The platform targets two primary customer segments: corporations seeking to protect their brand reputation, and public sector organizations monitoring information environments for influence operations and harmful narratives. Core capabilities include: - Detection of fake and inauthentic social media profiles across platforms such as Facebook, X (Twitter), and TikTok - Identification of coordinated inauthentic behavior and bot-driven campaigns - Detection of GenAI-generated content and deepfakes used in disinformation campaigns - Sentiment analysis and narrative tracking to surface harmful or reputation-damaging discourse - Identification of impersonation accounts mimicking brand or official customer service pages - Monitoring of social media conversations to detect emerging threats to brands or institutions Real-world use cases documented by Cyabra include identifying fake accounts impersonating customer service pages for companies such as Bank of America, American Express, and Ticketmaster, as well as detecting coordinated campaigns targeting brands like Zara, Amazon, and First Republic Bank. The platform presents findings in a structured, decision-ready format, enabling clients to act on threat intelligence derived from social media monitoring. It serves clients including US State Department Foreign Service Officers and communications agencies such as Golin.