Dark Radar targets common operational challenges in cybersecurity and brand protection workflows.
The first problem is late detection of data leaks. Many organizations become aware of exposed credentials or compromised systems weeks or months after the incident. Dark Radar continuously monitors infostealer-based leaks to eliminate this delay.
The second problem is fragmented data and manual investigation effort. IP addresses, email accounts, usernames, device identifiers, and timestamps are often spread across different sources. Dark Radar consolidates these datasets and enables fast querying using filters such as country, IP, HWID, email, username, and time range.
The third problem is limited access to technical leak details. When an incident is identified, it is often unclear which files were stolen or where the leak originated. Through the Shadow module, users can access source leak files and perform technical analysis.
The fourth problem is scalability in multi-brand operations. MSSPs and security teams often need to manage multiple brands separately. Shadow allows all monitored brands to be managed and analyzed from a single panel.
Dark Radar is designed for brands, organizations, and professional cybersecurity teams with different operational needs.
Beacon is suitable for organizations that want to monitor their own brand, while Shadow is designed for security teams that manage and analyze multiple brands.
Beacon focuses on real-time monitoring and alerts for a single brand or organization, while Shadow is designed to analyze multiple brands from a single panel and investigate technical details of data leaks.
