The short definition
Instead of listing individual misconfigurations one at a time, attack path mapping models the environment as a graph: users, groups, computers, and cloud identities as nodes, and permissions or trust relationships as edges between them.
Walking that graph from a realistic starting point, usually a standard user account, reveals the actual chains of privilege escalation an attacker could exploit to reach Domain Admin, a cloud admin role, or another critical asset.
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Why a list of findings is not the same thing
A vulnerability scanner reports individual weaknesses in isolation. Attack path mapping shows how weaknesses chain together: a low-severity misconfiguration on one host can become critical the moment it sits on the only path to a domain controller.
This is the reasoning that made tools like BloodHound central to AD security testing, and why identity attack path management has expanded beyond on-prem Active Directory into Entra ID, Okta, GitHub, and other identity systems as organizations spread trust across more platforms.
- Nodes represent identities: users, groups, computers, service accounts, cloud roles
- Edges represent relationships: group membership, admin rights, delegated permissions, session data
- A "path" is a chain of edges connecting a starting identity to a target
- Fixing the right single edge can break many attack paths at once
From graph to remediation priority
The practical output of attack path mapping is prioritization: which fix removes the most paths to the most critical assets, rather than which finding looks worst in isolation. That reframing is often the highest-value part of an internal AD or cloud identity assessment.
For a pentest firm or internal team, the graph only pays off if it becomes part of the deliverable, not just a screenshot the operator has to re-explain when the report gets written.