ZenoX provides the Vydar Threat Intelligence platform, which continuously monitors underground forums and messaging groups to detect emerging fraud schemes. Powered by TellyuAI, the platform delivers real-time alerts on new attack methods, protecting financial institutions and other organizations from evolving criminal tactics. Vydar also tracks billions of leaked credentials and detects thousands of stolen cards monthly.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face a growing challenge from cybercriminals who rapidly develop and share new fraud techniques—such as CPF (Brazilian Tax ID) testing methods and phishing schemes—through real-time messaging groups and underground forums. Traditional detection systems are often too slow to catch these emerging threats before they are deployed at scale, leaving businesses vulnerable to losses and reputational damage.
Solution
ZenoX's Vydar Threat Intelligence platform provides continuous, real-time monitoring and analysis of underground discussions and web activities to identify emerging fraud patterns as they develop. Powered by TellyuAI, the platform applies natural language understanding to interpret criminal terminology and automated pattern recognition to flag new attack methods within seconds. It collects and correlates vast amounts of threat data from across the internet, mapping dynamic connections between malicious actors, their infrastructure, and target organizations. This intelligence is delivered through actionable reports and immediate alerts, enabling security teams to proactively prevent fraud rather than react after an incident.
Target Audience
Primary customers are banks, financial institutions, and large enterprises in fraud-prone sectors such as banking, e-commerce, and sports/entertainment that require proactive intelligence to detect and prevent emerging cyber threats.
Features
- Real-time monitoring and analysis of Telegram groups and other messaging channels for fraud discussions and data leaks
- Natural language understanding engine (TellyuAI) that interprets criminal slang, abbreviations, and evolving terminology
- Automated pattern recognition that identifies new fraud methodologies and attack vectors within seconds of emergence
- Threat Intelligence Graph that maps relationships between actors, infrastructure, and target organizations for deep contextual insights
- Continuous 24/7/365 monitoring of billions of leaked credentials and detection of thousands of stolen cards per month
- Rapid response protocols enabling immediate takedown of fraudulent websites and phishing domains