SIEVA

Description

Security Information and Event Management systems (SIEM systems) are crucial for detecting and responding to cyberthreats, but they often lack full visibility into the data that 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 (NPL), 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:

1. Understand security coverage through a detailed, color-coded MITRE ATT&CK matrix.
2. Improve monitoring strategies by identifying and addressing visibility gaps.
3. Optimise resource allocation by streamlining data integration and security rule development.

Applications

SIEVA is designed to help cybersecurity professionals to:

• Gain insights into SIEM logs to fine-tune detection capabilities.
• Evaluate security data sources and improve monitoring strategies.
• Enhance SIEM visibility assessments for multiple cliets.

Get in Touch! Want to improve your SIEM’s visibility and security operations? Contact us to learn how SIEVA can support your cybersecurity strategy.