How Does Risk-Based Vulnerability Management Work?
Risk-based vulnerability management operates as a continuous and cyclical process that integrates automation, contextual analysis, and targeted remediation. This ensures that security teams maintain a dynamic and prioritized view of vulnerabilities, focusing efforts on the most impactful issues. The RBVM process generally follows five key stages:
1. Automated Discovery and Assessment
The process starts with automated tools or agents that continuously scan environments, including on-premises systems, cloud infrastructure, and containers. These tools collect data on software versions, open ports, and misconfigurations, while identifying new vulnerabilities as they emerge. By automating discovery, organizations ensure real-time visibility into their security posture.
2. Contextual Risk Analysis
Raw vulnerability data is enriched with contextual information to understand the actual risk. This involves correlating vulnerabilities with exploit availability, system exposure, the criticality of affected assets, and any historical incidents. Compliance requirements and potential business impacts are also factored in, allowing organizations to create a prioritized list of vulnerabilities.
3. Prioritization and Action Planning
With vulnerabilities ranked by risk, security teams can develop focused action plans. High-risk vulnerabilities, particularly those with known exploits or targeting critical systems, are addressed first and assigned shorter remediation deadlines. Lower-priority vulnerabilities are scheduled based on available resources and risk tolerance. This prioritization ensures that efforts are directed where they can make the most difference, avoiding time wasted on low-impact issues.
4. Remediation Execution
Remediation actions may include applying patches, changing configurations, or adjusting access controls. RBVM platforms often integrate with ticketing systems, streamlining the coordination of fixes across IT, DevOps, and quality assurance teams. Automation is leveraged where possible to accelerate patching and resolve the most critical vulnerabilities quickly.
5. Verification and Continuous Improvement
Once remediation steps are completed, follow-up scans or monitoring logs confirm whether vulnerabilities have been effectively addressed. These results are documented for audit purposes and help measure key metrics such as average patch time. Any failures or recurring issues are flagged for further investigation. Insights from these outcomes are used to refine risk scoring models and improve future response processes, keeping the RBVM program adaptive.
Related content: Read our guide to cybersecurity risk management.
5 Best Practices for Risk-Based Vulnerability Management
By implementing these best practices, organizations can ensure the most effective vulnerability management strategy based on risk assessment and prioritization.
1. Establish an Asset Management Framework
To effectively implement risk-based vulnerability management, organizations must first establish a solid asset management framework. This involves using automated discovery tools to identify all assets across environments, ensuring that no systems, servers, or devices are overlooked. Regular cross-checks and inventory reconciliation help maintain accuracy and completeness of the asset database.
Keeping the asset inventory up to date is essential for ensuring vulnerabilities are assessed in the correct business context. By knowing what data each asset processes and its role within operations, organizations can better understand the potential impact of vulnerabilities affecting those assets.
2. Prioritize Assets Based on Criticality
Once assets are inventoried, organizations need to prioritize them based on their criticality to business operations. Assets that handle sensitive customer data, process financial transactions, or support mission-critical services should take precedence over non-essential systems.
For example, a public-facing customer portal that processes payments is far more critical than an internal testing server containing no sensitive information. This approach ensures that vulnerabilities affecting high-value assets are addressed first, reducing the organization's exposure to impactful threats.
3. Prioritize Risks Based on Severity
Vulnerability severity alone doesn't provide the full risk picture. Organizations should combine severity scores, such as those from the Common Vulnerability Scoring System (CVSS), with asset criticality and threat intelligence to make informed decisions.
For example, a critical remote code execution (RCE) vulnerability on an internal database may technically have a higher severity score, but a high-severity SQL injection vulnerability exposed on a public-facing portal might demand faster remediation due to its immediate accessibility to attackers. This context-driven assessment ensures prioritization reflects real risk exposure.
4. Determine the Company’s Risk Tolerance
An important step in RBVM is defining the organization’s risk tolerance by considering the potential business impact of vulnerabilities. This involves identifying mission-critical systems, determining acceptable downtime, and establishing thresholds for when security teams need to act.
Organizations can leverage frameworks like the Factor Analysis of Information Risk (FAIR) or NIST’s Risk Management Framework to quantify risk tolerance and create clear decision-making guidelines. This ensures that vulnerability management efforts are aligned with the organization's overall risk posture and business objectives.
5. Establish SLA’s According to Risk Level
Establishing internal service-level agreements (SLAs) based on the risk level provides structure and accountability to the RBVM process. For example, critical vulnerabilities with known exploits might have a 72-hour remediation window, while medium-risk issues could have a 15-day remediation guideline, per the CISA recommendations.
These SLAs help security teams track patching performance, identify bottlenecks in processes, and ensure timely mitigation of vulnerabilities. Over time, strict adherence to SLAs can highlight areas where processes need improvement, supporting continuous optimization of the vulnerability management lifecycle.
Vulnerability Management with CyCognito Attack Surface Management
The CyCognito platform addresses today’s vulnerability management requirements, built on the foundation of full discovery of your entire extended IT ecosystem, to help you proactively defend against threats from even the most sophisticated attackers. It operates continuously and autonomously using advanced attacker-reconnaissance techniques to identify attackers' paths of least resistance into your environment so that you can efficiently eliminate them.
Once it identifies potential attack vectors, it prioritizes risks based on asset criticality and issue severity. The result is a platform that delivers risk-based vulnerability management for your entire attacker-exposed IT ecosystem.
The CyCognito platform uniquely delivers:
- Full discovery of your extended IT ecosystem, including assets that are part of your IT ecosystem, but are unknown or unmanaged by you.
- Detection and testing of attack vectors across your entire attacker-exposed IT ecosystem, including DAST for web apps. CyCognito goes well beyond CVEs to include data exposures, misconfigurations and even software zero-day vulnerabilities.
- Prioritization of the attack vectors in your IT ecosystem based on what could impact your organization most from a cybersecurity risk perspective.
- Actionable remediation guidance and reporting to accelerate your remediation and validation.
Learn more about CyCognito for vulnerability management.