Cyabra

Cyabra was founded in Tel Aviv in 2018 by Dan Brahmy and Yossef Dar. The company operates in the social threat intelligence space, building a SaaS platform that detects inauthentic behavior, bots, and disinformation on social media platforms. In early 2024, Cyabra announced a definitive agreement to merge with Trailblazer Merger Corporation, a US-based SPAC, with the intent of listing publicly on the NASDAQ at an implied valuation of roughly $70 million. The company gained significant global exposure in 2022 when Elon Musk commissioned it to analyze the prevalence of fake and bot accounts on Twitter during his acquisition process.

Cyabra's core product is a threat intelligence platform that ingests open-source social media data to identify coordinated influence campaigns, bot networks, and deepfakes. Rather than exclusively scanning content, the platform's machine learning algorithms analyze behavioral patterns to distinguish between authentic human users and automated or malicious actors. Cyabra sells primarily to enterprise brands, marketing agencies, and government entities (including defense and intelligence sectors) looking to protect brand reputation, monitor geopolitical disinformation, and track election interference.

Cyabra operates in the emerging cognitive security and disinformation defense market, competing with specialized firms like Blackbird.AI. The public exposure from the Twitter/Musk analysis provided a massive PR tailwind, establishing Cyabra's name in the bot detection niche. The 2024 SPAC announcement represents a strategic push to capitalize on surging corporate and governmental awareness around the threats posed by generative AI and easily scalable disinformation.

Headquartered in Tel Aviv, Israel serves as Cyabra's primary R&D and product development hub. The company employs roughly 50 people, with the vast majority of its engineering, data science, and machine learning teams based locally. The founding team and many technical personnel draw directly from Israeli military intelligence units, heavily leveraging Open Source Intelligence (OSINT) and cyber-analysis methodologies developed within the IDF.