In today's digital age, where cyber threats are rapidly evolving, you need a fast, systematic way to effectively identify and fix critical vulnerabilities before they can be exploited. This is where the combination of the CISA Stakeholder-Specific Vulnerability Categorization (SSVC) framework, CISA Known Exploited Vulnerabilities (KEV) catalog, and Dazz Unified Remediation Platform becomes a powerful trio for cybersecurity teams. Together, these tools and processes improve your application security posture management (ASPM) and continuous threat exposure management (CTEM) programs by introducing more automation, intelligence, and prioritization into the process of triaging and remediating issues.
Understanding CISA SSVC - Stakeholder-Specific Vulnerability Categorization
CISA’s categorization framework offers a systematic methodology for assessing vulnerabilities based on their impact, likelihood, and stakeholder-specific considerations. As noted in the CISA Stakeholder-Specific Vulnerability Categorization Guide, when CISA becomes aware of a vulnerability there are four possible decisions:
Armed with this information, you are able to dramatically reduce the time it takes to understand the organizational impact of vulnerabilities, prioritize vulnerability management resources more effectively, and drive timely remediation.
Dazz for Unified Vulnerability Management and Remediation
The Dazz Unified Remediation Platform gives security and development teams one remediation solution for everything developed and run in code, clouds, applications, and infrastructure. The platform automatically aggregates data from a plethora of detection technologies, correlates and prioritizes related issues, traces back to root causes, and delivers a contextual remediation plan for security and engineering teams to measurably reduce exposure.
Instead of wasting manual hours of investigating and triaging issues, then finding root causes and locating issue owners before you can even get to the fix step, Dazz automates the entire process using machine learning and AI on the data across your environment. For application vulnerabilities, fix context is automatically shared with engineers in a dev-friendly workflow, whether that is Jira, GitHub, or another ticketing system, so they can remediate critical issues in hours instead of weeks. By reducing time wasted on non-critical issues and being more efficient at fixing what matters most at their root causes, you are able to strengthen both your application security posture management and continuous threat exposure management programs.
Plus, you have a powerful solution for centrally monitoring and reporting on remediation SLAs with stakeholders like business unit general managers, platform engineering teams, security teams, and board members. From executives to developers, everyone has visibility into the progress on reducing risk using Dazz’s customizable dashboards and reports.
To get the most utility out of the CISA SSVC framework, Dazz provides many useful data points such as:
- Context on detected vulnerabilities from numerous sources
- Detail into the root cause of vulnerabilities and what's impacted downstream
- Exploitability (EPSS)
- Ownership - who is the best person to make the fix?
- Business impact - what business unit, application, department, etc. is affected? Does the vulnerability impact systems and data that fall into greater regulatory scrutiny?
Conclusion
The combination of CISA Stakeholder-Specific Vulnerability Categorization, CISA’s Known Exploited Vulnerabilities catalog, and Dazz's unified remediation capabilities represents a powerful trio in the fight against cyber threats. Using the Dazz Unified Remediation Platform, Vulnerability Management stakeholders can easily glean the data necessary to decide which level of action is needed, and then speed up or automate remediation processes to ensure SLAs are met.This flexibility is essential for maintaining an effective cyber defense posture in the face of emerging issues across your code, clouds, applications, and infrastructure.