Notifications
Clear all
Topic starter
06/06/2026 2:22 am
TL;DR: Gartner’s 2025 PAM Magic Quadrant now treats machine scenarios, workload identity, and secrets management as expected capabilities, reflecting a market shift that still leaves human-built PAM controls misaligned with workload access patterns, according to Aembit. The governance gap remains structural: access review, session recording, and vault checkout were designed for people, not ephemeral machine identities.
NHIMG editorial — based on content published by Aembit: Workload IAM is closing PAM's machine access gap
By the numbers:
- Machine identities outnumber human identities by 82 to 1 in enterprises.
- 2025 Gartner report treats "PAM for machines scenarios", ios" as an expanded capability area that every serious vendor is expected to cover.
Questions worth separating out
Q: How should security teams govern privileged machine access in hybrid environments?
A: Start by treating workload access as a separate governance problem from human admin access.
Q: Why do workload identities break traditional PAM assumptions?
A: Because PAM was built around a human session that can wait for approval, be recorded, and be reviewed later.
Q: What do organisations get wrong about secrets management for non-human identities?
A: They often treat vaulting as if it solves identity assurance, when it really only stores the credential.
Practitioner guidance
- Map privileged machine access before expanding human PAM assumptions Start with the systems that already carry the highest sensitivity, such as production databases, payment services, identity providers, and cloud control planes.
- Replace reusable secrets with attested workload identities Prioritize systems where credentials are embedded in code, CI/CD jobs, or long-lived service configurations.
- Centralize machine access policy across clouds Define one policy layer for service-to-service access that evaluates request context consistently across AWS, Azure, GCP, SaaS, and on-premises systems.
What's in the full article
Aembit's full article covers the operational detail this post intentionally leaves for the source:
- The specific architectural comparison between traditional PAM session handling and workload IAM request-time policy
- How attested identity and ephemeral credentials behave in Kubernetes, AWS roles, and CI/CD pipelines
- Why multicloud policy fragmentation makes machine access governance harder to standardize
- How AI agent access differs when delegated human authority and machine execution must be reviewed separately
👉 Read Aembit's analysis of workload IAM and machine privilege gaps →
Workload IAM and PAM: what changes for machine access governance?
Explore further
06/06/2026 4:00 am
Traditional PAM is now an incomplete control plane for machine access. PAM was designed around human privilege, interactive approval, and session review. Those assumptions fail when the privileged actor is a workload that authenticates dozens or thousands of times without a person present. The implication is not that PAM disappears, but that identity governance must stop treating human session mechanics as the default pattern for all privilege.
A few things that frame the scale:
- 88% of organizations still define “privileged user” as applying solely to humans, even though 42% of machine identities already hold privileged or sensitive access, according to 52 NHI Breaches Analysis.
- Our research also found that only 44% of organizations are currently using a dedicated secrets management system, which leaves many machine access paths outside a purpose-built governance model.
A question worth separating out:
Q: How do AI agents change privileged access governance?
A: AI agents separate delegated human authority from machine execution, so the access record must show both. Teams should review what the agent can do on its own, what the user authorised, and which systems the agent can reach through API calls. That makes accountability clearer than treating the agent as if it were just another user.
👉 Read our full editorial: Workload IAM is closing PAM's machine access gap
