TL;DR: CyberArk can be costly, complex to deploy, and limited in coverage, especially once teams factor in licenses, hardware, professional services, and ongoing management, according to StrongDM. The real issue is not price alone but whether traditional PAM still matches cloud-native access patterns and audit expectations.
At a glance
What this is: This is a pricing-and-coverage analysis of CyberArk PAM that argues total cost and deployment burden rise as organisations add cloud-native resource types, while coverage depth remains constrained in mixed environments.
Why it matters: It matters because IAM and PAM teams need to evaluate whether their privileged access model still covers databases, servers, and Kubernetes without adding operational overhead or leaving audit gaps.
Context
Privileged Access Management is meant to control high-risk access, but traditional deployments can become expensive and operationally heavy when teams extend them across cloud, on-premises, and hybrid estates. The core governance question is whether the PAM model still matches modern access patterns, especially where resource types and protocols multiply.
StrongDM's article frames CyberArk pricing as a proxy for a broader coverage problem: the more resource types and management layers a team must support, the more the cost model shifts from software licensing to deployment effort, ongoing administration, and audit readiness. That makes the article relevant to PAM buyers, platform owners, and cloud security teams deciding how much complexity they are willing to carry.
Key questions
Q: What breaks when traditional PAM only covers part of the environment?
A: Partial PAM coverage creates blind spots where privileged access exists outside the governed path. That usually shows up first in cloud resources, newer protocols, and exception handling, where teams rely on manual processes instead of consistent policy. The result is weaker evidence, more administrative overhead, and a higher chance that critical access escapes review.
Q: Why do PAM programmes become expensive beyond the license fee?
A: Because the real cost includes implementation services, supporting infrastructure, specialist knowledge, and the ongoing effort to keep controls current as new resource types appear. If a PAM programme needs constant customisation to stay relevant, the control is no longer just a product purchase. It becomes a sustained operations commitment that should be budgeted and governed that way.
Q: How do organisations know if PAM is actually working?
A: PAM is working when elevated access is temporary, sessions are observable, and revoked rights do not reappear outside approved workflows. If admin activity remains hard to attribute, if credentials persist after use, or if privileged accounts are missing from inventory, the control is only partial.
Q: How should organisations govern access when PAM does not fit cloud-native workloads?
A: Use PAM for long-lived human elevation, but add runtime authorization for ephemeral workloads, APIs, and automation identities. The right control depends on the identity’s lifecycle, the target system, and the speed of the workflow. If access must exist for minutes or be embedded in code, static ticket-based privilege is usually the wrong model.
Technical breakdown
Why traditional PAM cost rises beyond licensing
Traditional PAM pricing rarely ends at license cost. In practice, deployment often adds professional services, additional hardware, support tiers, and person-hours for configuration and ongoing administration. That changes the buying decision from product selection to lifecycle ownership. A PAM platform that looks affordable on paper can become materially more expensive once teams must onboard new resource types, maintain policy sprawl, and keep audit evidence current across a mixed environment.
Practical implication: assess total operating cost, not just subscription price, before committing to a PAM programme.
Coverage limits across cloud-native resource types
Traditional PAM tools were built around a narrower world of privileged accounts and access paths. Cloud-native environments add databases, servers, Kubernetes clusters, SSH, RDP, and changing service access patterns that do not always map cleanly to legacy control models. The coverage gap is not only technical support for a protocol, but whether the platform can govern all the places privilege now exists without forcing exceptions that weaken visibility.
Practical implication: inventory which resource types and protocols are truly covered, then test whether those controls remain consistent in cloud and hybrid use cases.
Audit visibility versus administrative overhead
A PAM tool only earns its place if it produces reliable evidence at audit time. Strong logging, permission-change tracking, and command visibility matter because they reduce uncertainty about who did what and when. But if achieving that visibility requires heavy manual administration, the control starts to consume the operating model it was supposed to protect. Modern PAM evaluation should therefore measure both evidentiary depth and the effort required to keep that evidence trustworthy.
Practical implication: validate that audit logs are complete, usable, and low-friction to maintain before standardising on a PAM approach.
Breaches seen in the wild
- Azure Key Vault Contributor escalation 2024: Datadog found Azure Key Vault Contributor could add itself to access policies and read every secret, key and certificate in a vault.
- BeyondTrust breach 2024: A stolen BeyondTrust Remote Support API key let a China state-sponsored actor reset accounts and reach US Treasury workstations in 2024.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Coverage is the real buying test, not feature breadth. A PAM platform that protects a narrow set of privileged paths but does not scale cleanly across cloud, Kubernetes, and mixed protocols leaves teams with partial governance. The article's strongest signal is that cost and coverage move together, because every exception becomes another place where privileged access escapes normal control. Practitioners should treat coverage consistency as the deciding factor, not the marketing surface of capabilities.
Legacy PAM often shifts risk into operations. When implementation requires more professional services, hardware, and specialist support, the control becomes harder to sustain and easier to defer. That creates governance drift: the organisation believes it has centralised privileged access, but in practice the programme depends on scarce expertise and repeated manual effort. The result is not just higher spend, but weaker control durability over time.
Modern access estates expose a coverage gap in traditional privileged access models. The article reflects a broader market truth that cloud-native access patterns rarely behave like classic server admin workflows. Databases, clusters, and service access create a wider identity surface than many legacy PAM architectures were designed to govern. Teams should re-evaluate whether their privileged access model is still aligned to the systems they now operate.
Auditability must be judged against operational load. Comprehensive logs, permission-change visibility, and command capture matter only if the team can maintain them at scale. A control that produces evidence but consumes too much administrative capacity eventually weakens the very assurance it is meant to provide. The practical conclusion is that privileged access governance has to be measured as a sustained operating model, not a one-time deployment.
From our research library:
- 74% of organizations report identity-related breaches, and privileged access is a leading cause of lateral movement.
- Read next: Cloud PAM and CIEM Guide
What this signals
Coverage debt: when privileged access controls were designed for a smaller set of systems, every cloud-native exception becomes a place where governance depends on manual work instead of policy. That is the hidden cost behind many PAM deployments: the programme looks centralised, but its control plane fragments as soon as new resource types arrive.
Strong privileged access governance should be measured by how little operational strain it creates while still producing audit-ready evidence. The moment teams need specialist services for every new use case, the control starts to compete with the workload it is meant to govern.
For practitioners
- Map total PAM ownership cost Include licenses, hardware, professional services, support tiers, and person-hours in the buying model so the programme reflects actual lifecycle cost.
- Test coverage against real resource types Validate whether the platform governs databases, servers, Kubernetes clusters, SSH, RDP, and other privileged paths you use today, not only the ones in the demo.
- Review exception-heavy workflows Identify where the current PAM design requires special handling for new resource types or administrator tasks, because those exceptions usually become control gaps.
- Verify audit evidence at review time Check that permission changes, command activity, and access sessions can be reconstructed without manual log stitching or specialist intervention.
- Compare legacy PAM with cloud-native access patterns Assess whether your privileged access model is built for static server administration or for the distributed access patterns now used across cloud and hybrid estates.
Key takeaways
- Traditional PAM cost is not limited to licenses, because deployment services, hardware, support, and ongoing administration can dominate the real ownership model.
- Coverage gaps matter when privileged access spans cloud, Kubernetes, and hybrid estates that legacy designs do not govern consistently.
- Teams should judge PAM by how well it scales across real resource types while still producing usable audit evidence without heavy manual effort.
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 SP 800-53 Rev 5 and NIST CSF 2.0 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 privileged access sprawl and coverage gaps across resource types. |
| NHI-07 — Long-Lived Secrets | PAM cost and coverage problems often surface where long-lived credentials persist across environments. | |
| Recommendation — Review privileged access scope against NHI-05 and remove standing overprovisioned access paths. Shorten credential lifetime where PAM depends on persistent secrets and manual administration. | ||
| NIST SP 800-53 Rev 5 | AC-6 — Least Privilege | The article is fundamentally about whether privileged access remains constrained as environments grow. |
| Recommendation — Apply AC-6 to verify privileged access stays limited to the minimum required scope. | ||
| MITRE ATT&CK | TA0006;TA0008 — Credential Access; Lateral Movement | Weak privileged access coverage can enable credential abuse and movement across mixed environments. |
| Recommendation — Map privileged access gaps to TA0006 and TA0008 to prioritise controls around high-risk accounts. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article questions whether entitlements stay governed as infrastructure and access patterns expand. |
| Recommendation — Use PR.AA-05 to validate that entitlements and authorizations remain consistent across all resource types. | ||
Key terms
- Privilege Access Management: Privilege Access Management is the discipline of controlling and monitoring elevated access to critical systems and data. It governs how privileged accounts, credentials, sessions, and commands are issued, used, recorded, and revoked, so administrative power is limited, traceable, and aligned to policy, risk, and operational need.
- Coverage Gap: A coverage gap is the space between what an access control programme claims to manage and what it actually governs in production. In PAM, this often appears when new resource types, teams, or protocols require exceptions, manual handling, or separate tooling, leaving important privileged pathways outside policy consistency.
- Audit Visibility: Audit visibility is the ability to observe administrative actions, login behaviour, and configuration changes in a way that supports accountability. It is not just log collection. When privileged users can also control logs or audit settings, visibility stops being a reliable control and becomes another access path to govern.
- Total Cost Of Ownership: Total cost of ownership is the full cost of acquiring, operating, supporting, and retiring a tool across its life. In identity programmes, it includes onboarding, integration, training, troubleshooting, and audit effort, not just licence fees. It is the clearest way to compare tools that look cheap but create ongoing operational drag.
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 June 7, 2026.
Updated on October 7, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org