How do IAM and PAM teams use AD intelligence together?

Why This Matters for Security Teams

IAM and PAM teams are often solving the same exposure problem from different angles. AD intelligence shows how identities, groups, inherited permissions, and nested relationships create effective access paths that are not obvious from a single role or ticket. That matters because excessive privilege is usually not created by one bad account alone, but by accumulated group membership, stale delegation, and broad administrative inheritance. NHI Management Group notes that 97% of NHIs carry excessive privileges in modern enterprises, which is a strong signal that visibility must come before cleanup. NHI Mgmt Group and NIST Cybersecurity Framework 2.0 both point toward better asset and access understanding as a prerequisite for control. In practice, many security teams encounter privilege sprawl only after an audit, incident, or account takeover has already shown how AD relationships were being abused.

How It Works in Practice

The practical model is simple: IAM uses AD intelligence to discover who can reach what, while PAM uses that same intelligence to decide where standing access should be removed or converted into just-in-time elevation. AD graph analysis can reveal paths such as nested groups, inherited admin rights, stale service accounts, delegated OU permissions, and indirect access through privileged local groups. Once those paths are visible, PAM can enforce session control, vaulting, approval workflows, and ephemeral elevation for high-risk actions. Current guidance suggests this works best when both teams share a common view of identity relationships rather than maintaining separate inventories. A workable process usually looks like this:

• Map AD group nesting, admin roles, and trust relationships to identify effective privilege, not just assigned privilege.
• Use that exposure data to remove broad standing access where a narrower entitlement or PAM workflow is sufficient.
• Recertify both direct permissions and the indirect relationships that create access paths.
• Track service accounts and privileged non-human identities separately, because their access patterns and rotation needs differ from human users.

This is especially important when tools such as Azure Key Vault privilege escalation exposure show how one mis-scoped role can become a privilege chain, and when identity teams rely on NIST Cybersecurity Framework 2.0 to operationalise least privilege and continuous review. These controls tend to break down in highly delegated AD environments where local administrators can create new paths faster than the review process can detect them.

Common Variations and Edge Cases

Tighter privilege control often increases operational overhead, requiring organisations to balance faster access for administrators against stronger containment of escalation paths. That tradeoff becomes sharper in hybrid AD estates, where on-premises group nesting, cloud synchronization, and legacy application dependencies all influence effective access. Best practice is evolving here, and there is no universal standard for exactly how much AD intelligence should be centralised before PAM decisions are made. Some teams use it only for privileged users, while others extend it to service accounts, break-glass accounts, and application identities. The main edge case is when AD is not the true source of authority. In those environments, IAM and PAM reviews can miss access created by external directories, app-local roles, or federated entitlements unless the identity graph includes those dependencies. Another common gap is recertifying membership without reviewing the path itself, which leaves the same escalation route intact even after a user is removed from one group. NHI Mgmt Group’s research on the BeyondTrust API key breach underscores the broader point: exposure is often operational, not theoretical, and access relationships need continuous scrutiny rather than periodic cleanup.

Related resources from NHI Mgmt Group

• Who owns ransomware containment when IAM, PAM, and recovery teams are involved?
• How should security teams use IAST and RASP in NHI governance?
• How should IAM teams interpret developer summit content for identity governance?
• How can security teams use event agendas to spot identity gaps?