Vulnerability Management 101
A practical introduction to building a vulnerability management program from scratch.
Start with an honest asset inventory
Every vulnerability management program fails at the same first step if it is skipped: knowing what you actually have. Before scanning anything, build a list of hosts, domains, and services you are responsible for, including the ones nobody remembers setting up. An inventory that is 80% complete but honestly labeled is far more useful than one that claims completeness it does not have.
Automate scanning before you automate anything else
Recurring automated scanning is the highest-leverage first investment in a vulnerability management program because it converts "we should check on this" into "this is checked automatically." Start with a conservative schedule — weekly is a reasonable default for most environments — and tighten it once you trust the results and have a triage process that can keep up.
Build a triage process before findings pile up
A scanner will generate more findings than any team can act on immediately, especially in the first scan of a new environment. Decide upfront how severity maps to response time, who owns triage, and what "closed" actually means — remediated, accepted risk, or false positive are different outcomes and should be tracked differently, not collapsed into one status.
Layer in manual testing where automation falls short
Automated scanning is excellent at known vulnerability classes and terrible at business logic flaws, broken authorization between user roles, and multi-step abuse scenarios. Once automated scanning is running reliably, the next investment is periodic manual penetration testing — internal or contracted — focused specifically on what automation cannot see.
Report on trends, not just point-in-time counts
A raw findings count at any given moment tells you less than the trend: is mean-time-to-remediate improving, is the same vulnerability class recurring across different assets, are certain teams consistently slower to close findings than others. Build reporting that answers those questions from the start, rather than retrofitting trend analysis onto data that was never structured for it.
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