Revelstoke Security, Inc. (20240305664). CYBERSECURITY OPERATIONS MITIGATION MANAGEMENT simplified abstract

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CYBERSECURITY OPERATIONS MITIGATION MANAGEMENT

Organization Name

Revelstoke Security, Inc.

Inventor(s)

Joshua Mccarthy of Morgan Hill CA (US)

David B. Mckinley of Dartmouth MA (US)

Lance Rund of San Jose CA (US)

CYBERSECURITY OPERATIONS MITIGATION MANAGEMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240305664 titled 'CYBERSECURITY OPERATIONS MITIGATION MANAGEMENT

The disclosed embodiments provide techniques for cybersecurity operations mitigation management. A plurality of network-connected cybersecurity threat protection applications is accessed. A plurality of inputs from the cybersecurity threat protection applications is received in response to one or more cybersecurity events. A cybersecurity mitigation is initiated, triggered by an analysis of the one or more security events. The mitigation is performed by at least one of the threat protection applications. The analysis is performed on a network-connected computer platform. The network-connected computer platform comprises a Security Orchestration, Automation, and Response (SOAR) system that enables the analysis, managing, and validating of the cybersecurity event mitigation. The mitigating and validating are based on a library of cybersecurity mitigation success metrics, including validators, success criteria, and time factors. The cybersecurity mitigation success metric library is maintained and updated based on a machine learning model.

  • Network-connected cybersecurity threat protection applications accessed
  • Inputs received in response to cybersecurity events
  • Cybersecurity mitigation initiated and performed by threat protection applications
  • Analysis conducted on a network-connected computer platform with a SOAR system
  • Mitigation and validation based on a library of cybersecurity success metrics

Potential Applications: - Enhancing cybersecurity operations in organizations - Improving incident response and threat mitigation processes

Problems Solved: - Streamlining cybersecurity operations - Enhancing the efficiency of threat mitigation

Benefits: - Increased cybersecurity effectiveness - Faster response to cybersecurity threats

Commercial Applications: Title: Enhanced Cybersecurity Operations Management This technology can be applied in various industries such as finance, healthcare, and government to improve cybersecurity measures and protect sensitive data from cyber threats.

Questions about Cybersecurity Operations Mitigation Management: 1. How does the SOAR system contribute to the efficiency of cybersecurity event mitigation? The SOAR system automates and orchestrates security processes, enabling faster analysis, response, and validation of cybersecurity events.

2. What are the key factors considered in the cybersecurity mitigation success metric library? The library includes validators, success criteria, and time factors to ensure effective and efficient threat mitigation strategies.


Original Abstract Submitted

disclosed embodiments provide techniques for cybersecurity operations mitigation management. a plurality of network-connected cybersecurity threat protection applications is accessed. a plurality of inputs from the cybersecurity threat protection applications is received in response to one or more cybersecurity events. a cybersecurity mitigation is initiated, triggered by an analysis of the one or more security events. the mitigation is performed by at least one of the threat protection applications. the analysis is performed on a network-connected computer platform. the network-connected computer platform comprises a security automation and response system (soar) that enables the analysis, managing, and validating of the cybersecurity event mitigation. the mitigating and validating are based on a library of cybersecurity mitigation success metrics, including validators, success criteria, and time factors. the cybersecurity mitigation success metric library is maintained and updated based on a machine learning model.