Cyber Risk Management

What is Cybersecurity Findings Management?

Written by Maahnoor Siddiqui | Oct 1, 2025 4:01:07 PM

Findings Management involves tracking, prioritizing, and resolving vulnerabilities and compliance gaps identified during risk assessments, audits, or pen tests. It serves as the operational backbone for addressing weaknesses before they escalate into breaches.

Why is Cybersecurity Findings Management Important?

  • Risk reduction: Prioritizes critical vulnerabilities (e.g., exploitable CVEs, misconfigured systems) based on business impact and likelihood of exploitation.

  • Compliance alignment: Maintains audit-ready documentation for frameworks such as SOC 2 and ISO 27001 by tracking remediation efforts.

  • Resource optimization: Directs security teams to high-impact issues using risk-scoring models, avoiding wasted effort on low-priority findings.

    • CyberStrong quantifies risk based on the model of your choosing. Leverage NIST 800-30 risk methodology, the FAIR model, or custom models. 

Program Improvements with Prioritized Findings:

  • Accelerates threat response through automated workflows for ticket creation

  • Enhances visibility with centralized dashboards showing remediation progress across assets

  • Supports continuous compliance automation by linking findings to control frameworks

Common Challenges with Findings Management:

  • Prioritization errors: Organizations struggle to rank risks due to incomplete threat intelligence.

  • Stakeholder alignment: Security, IT, and compliance teams often clash over remediation timelines and methods.

  • Tool fragmentation: Enterprises use disconnected systems for vulnerability scanning, ticketing, and GRC platforms.

  • Validation gaps: Many organizations fail to retest remediated findings, leaving residual risks

Having a streamlined approach for cyber risk assessment findings improves your organization’s cyber resiliency by providing a more proactive means for detecting and managing identified threats and risks.

CyberStrong enhances its Findings Management capability by continuously ingesting real-time data from threat intelligence and vulnerability feeds to identify new and emerging threats. The challenge with findings is contextualizing the findings to understand the real impact on the organization. You can’t respond to every single finding alert; nothing will ever get adequately done.

CyberStrong utilizes a Graph Neural Network (GNN) to contextualize the impact of a trending threat by considering vital data sources such as the NVD, CVEs, CWEs, MITRE ATT&CK, breach reports, and cyber loss data by industry. CyberStrong then determines the financial impact of the threat and ranks your top findings based on their monetary implications.