TL;DR: Active Directory, SaaS sprawl, non-human identities, and autonomous AI agents have expanded identity into a largely invisible attack surface, while provisioning access still does not equal controlling risk, according to Silverfort. Identity security now depends on shared visibility, privilege control, and lifecycle governance across humans, machines, and agents.
At a glance
What this is: This is an analysis of why identity security now extends beyond IAM, with the key finding that access provisioning alone no longer controls risk across hybrid, SaaS, NHI, and AI-driven environments.
Why it matters: It matters because IAM, PAM, and security teams now have to govern the same identity estate across humans, service accounts, and AI agents, or they will miss the attack paths that matter most.
Context
Identity security now sits on top of a hybrid estate where Active Directory, cloud directories, SaaS, service accounts, API keys, and AI-driven access all interact. In that environment, the old assumption that provisioning equals control breaks down, because the same identity can now be replicated, federated, impersonated, or overextended across systems.
The governance gap is not just visibility. It is the split between IAM teams that operate access and security teams that are expected to reduce exposure, detect abuse, and limit blast radius. For NHI and agentic AI programmes, that means identity inventory, privileged access scope, and lifecycle oversight have to be treated as one control problem rather than separate operational tasks.
Key questions
A: When identity security is scoped too narrowly, teams tend to focus on account administration while missing business continuity, crisis response, and cross platform trust relationships. That leaves privileged paths, federation dependencies, and recovery processes under tested. The result is a control stack that may look compliant but still fails under real attack or outage conditions.
Q: Why do service accounts and AI agents increase lateral movement risk?
A: Service accounts and AI agents often operate with persistent permissions across multiple systems, which makes them useful stepping stones after compromise. If their access is broader than the task requires, attackers can pivot through cloud resources, manipulate infrastructure, or access sensitive data without needing to steal additional credentials.
Q: How do organisations know if privileged access controls are working?
A: They are working when standing privilege declines, privileged sessions are shorter, and elevated access is granted only when needed. If high-risk access remains persistent or repeatedly reappears after review, the control model is not reducing blast radius.
Q: Who should be accountable when identity risk spans IAM and security operations?
A: Both teams, but with different responsibilities. IAM owns identity context, ownership, and lifecycle state, while security owns abuse detection, threat correlation, and containment. When those functions stay separate, no one has a complete picture of who or what can actually move through the environment.
Technical breakdown
Why identity inventory now has to span humans, service accounts, and agents
Identity inventory used to focus on people and a small number of privileged system accounts. In hybrid environments, the inventory must cover service accounts, API keys, SaaS identities, cloud directory objects, and AI agent credentials because each one can create a different trust path. The technical problem is not just counting identities, but understanding which ones authenticate where, what they can reach, and whether their permissions mirror actual use. Without that graph, least privilege becomes a guess instead of a control.
Practical implication: build an identity inventory that includes machine and agent identities, not just employee accounts.
Why static role models fail when identities are federated and impersonated
Role-based access was designed for a world where identities were relatively stable and usage patterns were predictable. Federated cloud identity and impersonated AI access break that model because the same access path can be reused, delegated, or tokenised across many systems. That creates hidden privilege persistence and makes a one-time role assignment a poor proxy for real risk. Security evaluation has to follow actual authentication activity, not only approved provisioning records.
Practical implication: validate privilege against observed authentication and reachability, not only assigned roles.
Why PAM alone cannot cover the full privileged identity estate
PAM only governs the identities it knows about, which is a narrow view in environments where privileged service accounts, scripts, integrations, and AI credentials sit outside traditional admin workflows. The control gap appears when privileged access exists without formal onboarding, ownership, or review in the PAM system. In practice, that means the organisation may believe it has privileged oversight while a large share of high-risk access remains unclassified and unmanaged.
Practical implication: reconcile PAM coverage with the full privileged identity inventory and close the blind spots.
Threat narrative
Attacker objective: The objective is to move from one compromised or overextended identity into broader access across business-critical systems without detection.
- Entry occurs through an old API key, over-provisioned service account, or federated identity path that still works in the hybrid estate.
- Credential access is amplified when that identity is not visible to the full control stack, so abuse can continue without immediate challenge.
- Escalation and lateral movement follow once the identity reaches files, financial systems, codebases, or other crown jewel systems.
- Impact comes from machine-speed movement across disconnected identity domains, where containment depends on shared visibility rather than a single IAM control.
Breaches seen in the wild
- Cisco Active Directory credentials leak 2025: Kraken leaked Cisco Active Directory hashes, including service and krbtgt accounts; Cisco says they came from its 2022 breach, not a new one.
- Storm-2949 Azure Breach: Storm-2949 social engineering attack turns one cloud identity compromise into full Azure tenant breach.
Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Shared identity control is now the baseline, not a collaboration nice-to-have: IAM governs access creation, but security governs exposure, abuse detection, and blast-radius reduction. In hybrid estates those functions cannot be separated cleanly because the same identity object can exist across on-prem, cloud, SaaS, and agent workflows. Practitioners should treat identity security as a joint operating model, not a handoff.
Provisioning is not governance: Access can be correctly issued and still be dangerously over-scoped, persistent, or invisible to security tooling. That is why the control question has shifted from who got access to what actual privilege exists in the environment and who can see it. The implication is that lifecycle and risk evaluation must sit beside provisioning, not after it.
Identity inventory and visibility are the missing control plane: The article’s strongest operational insight is that teams cannot secure what they cannot enumerate across human and non-human estates. A complete identity graph is the prerequisite for least privilege, JIT access, and meaningful monitoring. Practitioners should treat inventory completeness as a control outcome, not a reporting exercise.
Overprivileged NHI exposure is now a direct attack-path problem: The expansion from human accounts into service accounts, API keys, and AI credentials creates the conditions for machine-speed lateral movement. That is exactly where OWASP-NHI, NIST-CSF, and privileged access governance intersect for modern programmes. The practical conclusion is that identity security teams must prioritise reachability, ownership, and lifecycle boundaries together.
Autonomous access changes the governance assumption behind review cycles: Access review processes were designed for identities whose privilege persists long enough to be observed, certified, and remediated. That assumption fails when autonomous agents can acquire, use, and discard access inside the same operational window. The implication is not simply more review, but a rethink of what can be governed after the fact versus at issuance time.
From our research library:
- NHIs outnumber human identities by 25x to 50x in modern enterprises, according to the Ultimate Guide to NHIs.
- Only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs.
- Read next: Ultimate Guide to NHIs
What this signals
Identity inventory is now a security control, not an asset register: When service accounts, SaaS identities, and AI agents sit outside the same inventory model, least privilege becomes unverifiable. Teams should expect identity scope to matter more than identity count, because untracked reachability is what creates hidden exposure.
Privileged access must be judged by behaviour, not system membership: If a privileged identity is active in business workflows but absent from the security team’s monitoring view, the programme is already behind. The practical signal to watch is whether authentication activity and actual reachability are driving review decisions, not directory labels alone.
For practitioners
- Build a unified identity inventory Include human users, service accounts, API keys, cloud identities, SaaS accounts, and AI agent credentials in one inventory with ownership and usage context.
- Re-tier privileged access by actual use Rank privileged identities by authentication activity, business criticality, and reachability instead of relying on what the PAM vault already knows.
- Create shared IAM and security workflows Define joint processes for alert enrichment, incident escalation, and lifecycle events so security sees abuse patterns and IAM can close control gaps.
- Apply risk-based conditional access to identity clusters Use conditional access and scope isolation to reduce lateral movement paths across cloud, SaaS, and legacy identity domains.
- Instrument identity-first detection and logging Feed fine-grained logging into SIEM and SOAR playbooks so unusual identity behaviour can be detected before access is abused.
Key takeaways
- Identity security has outgrown the IAM-only model because hybrid estates now mix human accounts, service identities, SaaS access, and AI-driven credentials.
- The highest-risk gap is not lack of provisioning but lack of shared visibility into who or what can actually reach critical systems.
- A unified identity inventory, authentication-based privilege review, and coordinated IAM-security workflows are the controls that change outcomes.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and MITRE ATT&CK address the attack and risk surface, while NIST CSF 2.0 and NIST SP 800-53 Rev 5 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-05 — Overprivileged NHI | The article centres on over-scoped service accounts, API keys, and AI credentials. |
| NHI-03 — Vulnerable Third-Party NHI | The article discusses federated and external identity paths that widen exposure. | |
| NHI-07 — Long-Lived Secrets | Persistent tokens and old API keys are part of the attack surface described here. | |
| Recommendation — Review non-human privilege scope and remove standing access that exceeds actual use. Map third-party and federated identities to their owning controls and offboarding points. Rotate long-lived machine secrets and tie them to ownership and review cycles. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The piece is fundamentally about controlling access across identities and systems. |
| DE.CM-01 — Monitoring for anomalies and events | The article stresses continuous evaluation and visibility into identity behaviour. | |
| Recommendation — Align entitlement governance to actual reachability, not directory labels alone. Monitor identity activity continuously and alert on unexpected authentication patterns. | ||
| NIST SP 800-53 Rev 5 | AC-6 — Least Privilege | Least privilege is a central north star in the article's governance model. |
| Recommendation — Apply least privilege to every identity type using observed access, not assumptions. | ||
| MITRE ATT&CK | TA0006;TA0008 — Credential Access; Lateral Movement | The article references token abuse and machine-speed lateral movement paths. |
| Recommendation — Map identity abuse paths to credential access and lateral movement behaviours in your detections. | ||
Key terms
- Identity Inventory: Identity inventory is the process of discovering and recording every identity that can access systems or data. For NHIs, it includes owner, purpose, privilege scope, lifecycle status, and where the credential is used. Without inventory, governance, audit evidence, and incident response all become partial and unreliable.
- Shared Control Model: A shared control model is a single operating control design that can satisfy multiple frameworks or requirements when they cover the same underlying activity. It reduces duplicate work, avoids conflicting process definitions, and lets one well-run control produce evidence that supports audits, customer requests, and risk decisions.
- Privileged non-human identity: A privileged non-human identity is any service account, API key, token, certificate, workload, or AI agent that can reach sensitive systems and perform high-impact actions. The risk comes from the access it carries, not from whether a person is operating it directly. Governance must cover lifecycle, scope, and attribution.
- Identity-first security: Identity-first security is an approach that treats identity as the primary control plane for managing risk. Instead of relying mainly on network or endpoint boundaries, it uses identity context to decide what can happen, when it can happen, and under what conditions. That model is especially relevant where privileges move across human, non-human, and agentic actors.
Deepen your knowledge
NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on June 24, 2026.
Updated on October 7, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org