Recorded Future Launches AI-Powered Alert Filtering for Security Analysts

· Original article ↗

Summary

Recorded Future launched AI Alert Filtering, which uses threat-intelligence context to rank and summarize alert references, with optional auto-dismissal. The company says early-access customers saw an average alert-volume reduction of about 63%.

Key points

  • The feature classifies alert references by relevance using the alert rule's default intent, any custom intent, and reference content, including metadata and image-derived signals.
  • High-relevance references appear first, with summaries and explanations; lower-relevance material remains available in the Portal.
  • Customers can optionally auto-dismiss alerts with no references above the relevance threshold. The unfiltered alert details remain available in the Portal.
  • Filtering can be enabled per classic or custom alert rule; Recorded Future says other rule types may be supported later.
  • The feature is available to all customers, is on by default for new customers, and can be enabled by existing customers.
  • Recorded Future reports an average 63% alert-volume reduction among early-access customers, noting results vary by configuration and use case.

Article Details

Event Type
Recorded Future launched AI Alert Filtering, an AI-powered feature that classifies alert references by relevance and can optionally auto-dismiss alerts that do not meet a relevance threshold.
Impact
The feature aims to reduce the alert volume analysts must review; early-access customers reportedly saw an average reduction of around 63%, with results varying by rule configuration and use case. It is available to Recorded Future customers at no additional cost. No content is removed by default, and the original unfiltered alert details remain available in the Portal.

Vendors

Products

Related Articles