One of the most significant problems facing application security (AppSec) teams is the amount of time it takes to manage the results returned from automated testing tools. Tests may return thousands of potential vulnerabilities, but most AppSec professionals know that only a small fraction of them are worth the time and effort to remediate.
AppSec teams comb through these results and triage them, flagging the ones that should be fixed and weeding out the false positives. This process is extraordinarily time-consuming, repetitive, and tedious—but necessary.
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This eBook explores how machine learning can automate the triage process, and examines solutions already on the market.