Asset

SIEVA

Overview

An advanced SIEM visibility analysis tool to help organisations respond to cyber threats

Security Information and Event Management systems (SIEM systems) are crucial for detecting and responding to cyber threats, but they often lack full visibility into the data they collect. Without a clear understanding of their monitoring capabilities, organisations struggle to optimise security operations, identify coverage gaps, and enhance threat detection.

i2CAT has developed SIEVA, an advanced SIEM visibility analysis tool that helps organisations gain a clear and comprehensive view of their security monitoring landscape. By leveraging Natural Language Processing (NLP), SIEVA classifies and organises log data, mapping it to the MITRE ATT&CK framework. This allows security teams to assess their visibility in a structured and actionable way, ensuring that their SIEM configurations align with real-world threats.

SIEVA empowers organisations to:
  • Understand security coverage through a detailed, colour-coded MITRE ATT&CK matrix.
  • Improve monitoring strategies by identifying and addressing visibility gaps.
  • Optimise resource allocation by streamlining data integration and security rule development.
SIEVA is designed to help cybersecurity professionals:
  • Gain insights into SIEM logs to fine-tune detection capabilities.
  • Evaluate security data sources and improve monitoring strategies.
  • Enhance SIEM visibility assessments for multiple clients.

Want to improve your SIEM’s visibility and security operations? Contact techtransfer@i2cat.net to learn how SIEVA can support your cybersecurity strategy.