Linkshadow | Recorded Future
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Product Overview

LinkShadow’s Machine Learning capabilities automates analysis and model building using algorithms that enable organizations to proactively search for advanced threats through big data. LinkShadow uses machine learning, statistical analysis, and other algorithms to baseline behavior of each and every single entity and user in the organization to know what is normal and what is not. This empowers security teams to gain maximum insight through multiple features catering to Behavioral Analytics, CXO Visibility, Security Synopsis and Threat Hunting.

Challenges Overcome Through Integration

By making Recorded Future data available in Linkshadow, you’re able to:

  • Detect and gain context on threats with real-time external intelligence
  • Proactively block threats before they impact the business
  • Prioritize security incidents and decrease the MTTR (mean-time-to-response)
  • Hunt for threats across your network with speed, context, and efficiency.
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Integration Description

The Recorded Future integration with LinkShadow allows clients to ingest the Recorded Future collection of risk lists into LinkShadow threat detection system for correlation against client’s network data to detect malicious traffic and generate findings for review, combined with other anomalous activities that increase the accuracy of detection and decrease remediation time.

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Once matches are detected from the Recorded Future dataset, users are able to drill down into valuable information under shadow360, including the malicious traffic, its details, and activities before and after the incident.