See your firm's attack surface on one screen: how many findings, at which severity, on which domain.
Dark Radar is built for organisations to manage their digital assets, cyber threat data and case records in one intelligence infrastructure. Corporate asset scope, AI-assisted research, file analysis and access to case content on attacker infrastructure sit on the same platform.
Manage multiple organizations and brands in one place.
Organise monitoring for multiple organisations, brands and digital assets in one management area. Dark Radar classifies customer and employee records automatically. Set the monitoring scope each group needs and configure its service package separately.
An assistant that works with your organisation's data and goes straight to the information you need.
Dark Radar Assistant answers from your organisation's intelligence data. Ask questions in natural language, search across records and go directly to the relevant findings. Reach the information you need without writing complex queries.
Connect your intelligence data to your own AI ecosystem.
With the MCP Server integration, bring Dark Radar's intelligence into the working environment of your own AI agents. Let your agents query case records, review related data and connect separate findings to run in-depth investigations.
Reveal the risk behind each file with analysis trained on more than 40 million logs.
Dark Radar Case Analyst runs the case files you upload through AI-assisted analysis. It reviews credentials, data types and sensitive content, and separates customer and employee data. It rates the severity of findings and produces a structured analysis report that sets out the file's scope and risk level.
Go beyond the leaked records. Review the entire case file.
The fields shown in a leak record are not always enough to understand the whole incident. Dark Radar gives access to the full content of the case file found on the attacker's server for that leak. Review the complete file and its data to assess the real scope of the leak, the affected information and the details of the incident.
Infostealer malware collects the data stored in browsers and applications on the infected device: usernames and passwords, session cookies, autofill data, and device and network details. This data can be used for unauthorised access to corporate systems.
The domains and assets you add to monitoring are matched against the sign-in addresses, email addresses and usernames in infostealer records. Matching records are listed in your panel as findings.
The sign-in address, username, malware family, infection and detection dates, and device details such as IP address, hardware ID and operating system. Depending on your package, you can also review the full content of the case file related to the leak.
The leak date is when the malware infected the device. The detection date is when the record entered the Dark Radar database. Records can be shared among attackers weeks or months later, so the two dates can differ.
Records are classified as employee, customer, supplier or business partner based on the sign-in address, domain and username. You can adjust the classification with your own rules.
Yes. Records in the database are listed regardless of when the leak happened. The infection date is shown separately on each record.
You can mark the finding as reviewed, resolved or a false match, and reopen it when needed. As a first step, change the affected account's password and end its open sessions.
Run your cyber intelligence operations, from asset management to AI-assisted research, on Dark Radar's unified infrastructure.
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