It really comes down to what your expectations are. Blackduck has the ability to do snippet analysis and binary scans in a very quick and efficient manner. due to the product being very mature as it's been around for over a decade. If your requirements do not encompass any of these factors then perhaps looking at things like having a multi-factor approach to open source detection or the size of the security research team managing and updating the product is of more interest. These are some of the aspects you need to ask yourself when selecting a product.
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Clients that have benchmarked our solution against both BlackDuck and Veracode have noted that BlackDuck identifies more vulnerabilities, but also has more false positives. Note that MergeBase is more accurate in identifying more vulnerabilities with less false positives than either of these two.
Software Composition Analysis (SCA) is a crucial process that helps organizations identify, assess, and manage open source components within their software applications. With SCA tools, businesses can achieve several benefits, including identifying open source components, assessing security risks, ensuring compliance with licenses, and enhancing overall software quality.
It really comes down to what your expectations are. Blackduck has the ability to do snippet analysis and binary scans in a very quick and efficient manner. due to the product being very mature as it's been around for over a decade. If your requirements do not encompass any of these factors then perhaps looking at things like having a multi-factor approach to open source detection or the size of the security research team managing and updating the product is of more interest. These are some of the aspects you need to ask yourself when selecting a product.
Clients that have benchmarked our solution against both BlackDuck and Veracode have noted that BlackDuck identifies more vulnerabilities, but also has more false positives. Note that MergeBase is more accurate in identifying more vulnerabilities with less false positives than either of these two.