TL;DR: Traditional PAM tools are being stretched by secret sprawl, excessive privileges, and the growth of non-human identities and AI agents, according to Saviynt, while Gartner named it a Challenger in the 2025 Magic Quadrant for Privileged Access Management. The deeper issue is that PAM programmes now have to govern both human privilege and machine-issued access paths at once.
At a glance
What this is: This is Saviynt’s analysis of its Challenger placement in Gartner’s 2025 PAM Magic Quadrant and the broader shift toward PAM for NHIs and AI agents.
Why it matters: It matters because privileged access programmes increasingly have to cover service accounts, secrets, and AI-driven access patterns alongside human admin access.
By the numbers:
- 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.
- 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface.
👉 Read Saviynt’s analysis of the 2025 Gartner PAM Challenger placement
Context
PAM is the control layer that governs elevated access, but most programmes were built around human administrators rather than the volume and behaviour of non-human identities. Once secrets are embedded in code, CI/CD tools, and automation workflows, privileged access stops being a rare exception and becomes part of the operating model.
Saviynt frames the challenge as one of scope: privileged access now spans internal users, external users, service accounts, and AI agents. That is a broader governance problem than traditional vaulting or session control, and it is why identity teams need a lifecycle view of privilege, not just a point-in-time admin access model.
Key questions
Q: How should security teams govern privileged access for service accounts and AI agents?
A: They should govern privileged access as an identity lifecycle problem, not only a session control problem. Service accounts, tokens, and AI-driven identities need ownership, entitlement review, rotation, and offboarding rules that are tied to the business process they support. If the credential can outlive the workflow, PAM alone is not enough.
Q: Why do secrets outside vaults create such a large PAM gap?
A: Because PAM can only enforce control over credentials it can discover and manage. When secrets live in code, configuration files, or CI/CD tools, the organisation loses visibility over where privilege exists and who can use it. That makes rotation, revocation, and audit evidence incomplete.
Q: What do organisations get wrong about PAM for non-human identities?
A: They often treat non-human identities as technical plumbing rather than governed identities. That leads to stale access, unclear ownership, and weak offboarding when applications or vendors change. The result is privilege that persists long after the original purpose has ended.
Q: Should teams treat AI agents differently from standard automation in PAM design?
A: Yes, when the agent can choose actions, tools, or execution timing at runtime. Standard automation is bounded by scripts and predefined workflows, while agentic behaviour can change the privilege profile during execution. PAM should reflect that distinction before approvals and access policies are set.
Technical breakdown
Why PAM breaks down when secrets live outside vaults
Traditional PAM assumes privileged credentials are few, centrally controlled, and easy to wrap with session controls. That assumption fails when passwords, API keys, and tokens are scattered across code repositories, config files, and CI/CD tooling. In that model, the control plane can no longer reliably discover what exists, where it is used, or whether it should still be active. PAM then becomes reactive instead of authoritative, because the real privilege boundary sits upstream in secret creation, distribution, and reuse.
Practical implication: map every privileged secret source before relying on PAM controls to enforce access.
How NHIs change the meaning of privileged access
A non-human identity can hold standing privileges for months, call tools automatically, and move across systems without a human session to inspect. That changes PAM from a just-in-time admin access problem into an identity governance problem for machine actors. The key difference is persistence: service accounts and tokens often outlive the workflow that created them, so privilege accumulates silently unless lifecycle and entitlement governance are applied to the machine identity itself.
Practical implication: treat service accounts and tokens as governed identities, not as technical artifacts owned by application teams alone.
What AI agents add to the privilege model
AI agents are not automatically autonomous, but they do introduce runtime decisions about what tools to call and what data to access. That makes privilege assessment harder because the access pattern may change during execution, even when the agent is operating within a bounded environment. PAM design now has to account for when an identity can initiate action paths that were not fully predictable at provisioning time, especially where approvals are bypassed by workflow design.
Practical implication: separate bounded automation from true runtime autonomy before deciding which privileges need direct governance.
NHI Mgmt Group analysis
PAM is becoming an NHI governance discipline, not just an admin-access control. Once privileged credentials are distributed across service accounts, CI/CD pipelines, and machine workflows, the old assumption that PAM only protects human administrators no longer holds. That shifts the category from vaulting and session brokering toward lifecycle governance of machine privilege. Practitioners should treat PAM as part of NHI governance architecture, not a separate human-admin toolset.
Secret sprawl is the named failure mode behind much of today’s PAM pressure: the control model assumed privileged credentials would stay inside managed repositories, but they now live in code, config, and automation paths. When the credential itself becomes ambient, session controls alone cannot restore visibility. The implication is that privilege governance must start where the secret is created and distributed, not where a human logs in.
AI agents complicate privileged access only when they can influence action paths at runtime. Static automation is still an NHI problem, but runtime decision-making pushes PAM into a different governance category because access is no longer fully knowable at provisioning time. That creates an assessment gap for entitlement reviews, approval design, and logging expectations. Practitioners should distinguish agentic behaviour from scripted workflow so they do not overstate or under-govern the risk.
Vendor recognition is now less important than the category signal it represents. Challenger placement in a PAM market already shaped by NHI pressure suggests that buyers are being pushed toward broader identity security platforms rather than narrow admin-access tooling. That does not settle architecture decisions, but it does confirm that privileged access is being redefined by machine identity growth. Security leaders should re-evaluate whether their PAM programme is actually governing non-human privilege or only wrapping human sessions.
From our research:
- 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, according to the Ultimate Guide to NHIs.
- 91.6% of secrets remain valid five days after the targeted organisation is notified, showing a critical gap in remediation procedures.
- For lifecycle control context, the NHI Lifecycle Management Guide shows how ownership, rotation, and offboarding reduce the exposure window for privileged credentials.
What this signals
The immediate programme signal is that PAM cannot stay isolated from NHI lifecycle governance. When privileged access is embedded in secrets, service accounts, and build pipelines, the control objective shifts from session protection to persistent identity ownership, and that is where review cadence, offboarding, and rotation discipline start to matter.
Secret sprawl debt: the longer privileged credentials are allowed to exist outside managed repositories, the more PAM becomes an evidence-gathering exercise instead of a control system. Organisations should expect stronger pressure to align vaulting, entitlement review, and offboarding into one operating model.
With 97% of NHIs carrying excessive privileges, per the Ultimate Guide to NHIs, the practical question is no longer whether privilege exists, but whether the programme can prove when it should end. Teams that cannot answer that will struggle to defend their PAM posture in audit and incident review.
For practitioners
- Inventory privileged secrets outside vaults Identify every location where passwords, API keys, and tokens are stored in code repositories, configuration files, build systems, and runtime variables. Then assign an owner and rotation path for each location before expanding PAM scope.
- Classify machine identities by privilege persistence Separate short-lived automation from long-lived service accounts, because persistent credentials need lifecycle controls, not only session controls. Review which non-human identities still retain access after the workflow or application that created them has changed.
- Tie PAM reviews to identity lifecycle events Trigger entitlement review when an application, integration, or workflow changes, not only on a calendar cycle. That is where stale machine privilege most often survives, especially across external dependencies and internal handoffs.
- Set a boundary for agentic access Define when AI-driven systems are allowed to select tools, request elevation, or continue execution without human approval. If that boundary is unclear, PAM can log access but still fail to govern the underlying behaviour.
Key takeaways
- PAM is now a governance layer for non-human privilege as much as for human administrators.
- Secret sprawl and standing machine access are the practical reasons traditional PAM models keep missing the real exposure.
- Identity teams should rework PAM around lifecycle ownership, not just session control, if they want measurable reduction in privilege risk.
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 address the attack and risk surface, while NIST CSF 2.0 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Credential rotation and secret sprawl are central to this PAM discussion. |
| NIST CSF 2.0 | PR.AC-4 | Least-privilege access management applies directly to human and machine privilege. |
| NIST Zero Trust (SP 800-207) | PR.AC-1 | Zero trust requires continuous verification across privileged access paths. |
Inventory privileged secrets, rotate them on schedule, and remove any standing credentials from unmanaged storage.
Key terms
- Privileged Access Management: Privileged Access Management is the discipline that controls elevated access to critical systems and sensitive data. In practice, it combines credential control, session oversight, approval flows, and audit evidence so that high-risk access is granted only when needed and can be traced after use.
- Non-Human Identity: A Non-Human Identity is any machine- or system-issued identity such as a service account, API key, token, certificate, workload, or AI agent identity. These identities often operate continuously and at scale, which means ownership, rotation, and offboarding are as important as authentication.
- Secret Sprawl: Secret sprawl is the uncontrolled distribution of credentials across code, configuration, build tooling, and operational systems. It creates visibility loss because the organisation can no longer reliably know where privileged secrets exist, who uses them, or whether they still need to be valid.
- Standing Privilege: Standing privilege is access that remains active without a time limit or task-specific trigger. For non-human identities, it is especially risky because the credential can continue to function long after the original workflow or business purpose has changed.
What's in the full analysis
Saviynt's full post covers the market context and report references this post intentionally leaves for the source:
- The exact Gartner Magic Quadrant placement language and category context around privileged access management.
- Saviynt’s own positioning on how its PAM capabilities are being unified with governance for internal users, external users, and NHIs.
- The source article’s broader framing of AI agents and NHI growth as drivers of next-generation PAM demand.
- The report link and surrounding announcement context for teams tracking market signals rather than implementation detail.
👉 Saviynt’s full post includes the Gartner context and its framing of PAM for NHIs and AI agents.
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 responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.
Published by the NHIMG editorial team on 2025-10-16.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org