Get More From Application Vulnerability Correlation

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Presented by

John Alexander, Sr Product Marketing Manager, Kenna Security

About this talk

The increasing importance of AppSec in the Software Development Life Cycle (SDLC) has led to the emergence of a variety of application vulnerability detection methodologies like Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA), as well as bug bounty and penetration testing programs. But with this abundance of different tools, each with their own unique set of pros and cons comes the challenge of bringing all of this disparate information together so that effective and efficient risk prioritization decisions can be made. This problem did not go unnoticed by the security industry, a market segment that Gartner calls Application Vulnerability Correlation (AVC) rapidly emerged and security vendors rushed to fill in the gap. On their own AVC products and software, as a consolidated source of vulnerability data, provide tremendous value due to their central position in AppSec. Vendors have quickly realized this and this webinar will explain what AVC is, detail AVC best practices and explore the additional value that can be harnessed by AVC due to its unique position as a centralized repository of AppSec vulnerability information, features like: vulnerability prioritization, remediation system support, reporting, and flexible APIs.

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Kenna is a pioneer and leader of a new category of IT security solutions that allows security and IT teams to efficiently focus on the vulnerabilities posing the greatest risk to their IT environments. We’ve experienced firsthand just how frustrating and challenging security can be – the struggles with being unable to keep up with the volume of scan data, having to settle for inadequate security due to budget constraints, picking a remediation list at random (and hoping for the best), and being unable to measure and report on your team's efforts to reduce your exposure to risk.