Application vulnerability correlation (AVC) is a growing trend within the AppSec space that can greatly help organizations transition to a DevSecOps model. AVC refers to tools which provide workflow and process management capabilities that help streamline vulnerability remediation in the software development life cycle (SDLC). AVC solutions have an ability to normalize AST results to a common nomenclature, correlate findings from a myriad of security testing tools and data sources into a central repository, filter out duplicate results, and assess the exploitability and severity of a vulnerability, making remediation and prioritization of security activities more effective. This optimizes the triage process and greatly reduces friction between security and development teams by automating the process flow between the tools, functions, and remediation stakeholders.
The desire to ensure software quality within agile workflows has driven a growing trend among security and development teams to run their application security program at the speed of DevOps. But this can be difficult to accomplish for a couple of reasons:
Growingly, this has created a need for simpler ways of consuming a growing volume of AST security results and determining critical work. In a from November 2020 on Intelligent Automation in Application Testing Services, successful use cases of advanced security testing included the ability to consume and correlate testing results with relevant business metrics, and from this analysis, pinpoint vulnerable software. These capabilities are considered essential to ensuring better resilience, cost optimization, and product quality. Much of what can help organizations achieve this outcome effectively relies on having a good AVC solution.
Organizations invest in a variety of AppSec tools. Common AST tools include dynamic application security testing (DAST), static application security testing (SAST), software composition analysis (SCA), and open source tools. Each tool searches for specific types of software flaws, exploitability, and issue sources, and each is deployed at different stages of the SDLC. SAST and SCA are typically leveraged at the build/development stage, and DAST is leveraged during staging to uncover issues in simulated production conditions. Additionally, within each of these categories of AST tools, the detection capabilities and types of applications and programming languages supported can vary between vendors. Having a comprehensive appsec program can translate to investing in multiple tools within an AST category, and implementing the appropriate AST tools across stages of the SDLC.
Traditional AppSec tools often fail to meet the needs of agile DevOps environments due to the difficulty of gleaning clear, actionable insight from the overabundance of data in siloed tooling. Sorting through a backlog of application vulnerabilities makes security a bottleneck for the development teams responsible for remediation. And manually filtering through AppSec noise—including false positives and redundant findings across different tools—compromises development velocity and the effectiveness of an organization’s existing AppSec investment.
When analyzing AppSec data, security teams have to sort through a huge volume of relevant information in varied and disparate sources across SAST, DAST, SCA, and open-source /3rd party tools. This often adds redundancy, complexity, and huge time lags to the triage process because analysts don’t have a centralized repository where they can examine trends between similar flaws, or filter out duplicate results between different tools. The key problems AVC solves are the challenges posed by the overwhelming amount of data generated by AppSec testing tools. With its correlation capabilities, an AVC tool consolidates the results from all testing tools, and helps automatically remove any duplicated findings.
Put simply, AVC streamlines AST results across your entire SDLC, enhancing the effectiveness and efficiency of your DevSecOps program. Importantly, a good AVC solution also helps bolster your overall software risk management, improving your software quality and development practices. Software Risk Manager correlates the results from different types of analysis tools, and prioritizes security issues with the highest likelihood of exploitation first.
AVC tools provide one single set of correlated test results and have deduplication and normalization capabilities that give you a clear definition and level of risk. After gathering and correlating these results, a good AVC tool then uses your own vulnerability policies to help prioritize and manage the remediation of those vulnerabilities. It also allows you to integrate these findings within your existing application security tools.
Essentially, an AVC tool gathers all the existing data from your test results to your policies, and provides you with a clear and concise single source of truth that you can use to take strategic and prioritized action.
AVC tools offer a single vantage point into the ever-increasing volume of data generated by the AppSec tools you rely on. AVC tools correlate the vulnerability findings of your AppSec tools, so you gain an accurate view of the vulnerabilities across your applications.
This streamlined view allows you to stop wasting valuable time managing your tools, and focus your efforts on actually fixing the vulnerabilities in your applications. By simplifying vulnerability identification and remediation, AVC tools enable you to fix vulnerabilities before they can be exploited, lowering your overall level of risk.
Support for different AST tools:
AppSec Visibility and Efficiency:
Risk and policy management:
Learn what tools and strategies make up an effective DevSecOps program
Download the reportLearn how to get end-to-end visibility in your DevSecOps program
Download the guideLearn how to accelerate software development without sacrificing security
Download the eBookLearn how to scale your DevSecOps program with a flexible SaaS AppSec platform
Download the guide