Test Optimization view
Test Optimization uses AppScan®’s intelligent test filtering to achieve faster scans, when speed is needed, with minimal loss of issue coverage. You choose between four optimization levels depending on your needs.
A full regular scan typically sends thousands of tests and may take hours, in some cases days, to complete. During the early stages of development, or for a quick overall evaluation of the current security posture of your product, you can use Test Optimization to get the results you need in a shorter time frame, by choosing a balance between speed and issue coverage. There are three levels of optimization, and the table below shows some suggested use case for each level.
Our intelligent test filters are based on statistical analysis, and filter out certain tests – or even specific test variants – to produce a shorter scan that identifies the more common, severe and otherwise important vulnerabilities only. AppScan fix packs and ifixes keep you up-to-date with the latest optimization filters. Using Test Optimization can greatly reduce overall scan time when fast results are more important to you than a thorough, in-depth scan.
Test Optimization is applied to whichever Test Policy you select for the scan, so not all tests in the policy are sent. Note that the optimization setting makes no difference to the Explore stage, it is the (much longer) Test stage that can be greatly reduced.
Setting | Vulnerability coverage* | Test stage speed | Suggested use |
---|---|---|---|
No optimization | Maximum | Full length scan (as configured) | For security experts before a major releases, compliance testing, and benchmarks, when a longer scan will not interrupt your development workflow. With this setting all issues in the selected Test Policy are tested for. |
Fast (default) | ~97% | Up to twice as fast | For security experts for their more frequent scans. |
Faster | ~85% | Up to five times as fast | For DevSecOps, during ongoing evaluation. |
Fastest | ~70% | Up to ten times as fast | For Dev and QA during initial evaluation. |
See also: Understanding Test Optimization