TL;DR: A survey of more than 200 customers found Delinea Platform users reported over $2.2 million in average annual ROI, including $2.1 million in incident-prevention savings and 2,236 hours saved on identity security tasks, according to Delinea and UserEvidence. The broader lesson is that identity control value now depends on visibility, automation, and governance coherence, not isolated point tools.
At a glance
What this is: Delinea says customer survey data links platform consolidation with lower incident costs, less manual work, and better identity visibility.
Why it matters: This matters because IAM teams must justify controls across human, NHI, and autonomous identities while reducing operational drag and audit burden.
By the numbers:
- 2, ustomers saved 2,236 hours annually on identity security tasks.
- 94% of customers reported consolidating their security tools using the Delinea Platform.
👉 Read Delinea's full analysis of Platform ROI and identity security consolidation
Context
Identity security programmes are under pressure to prove value while still reducing risk, and that tension grows as environments add more identities, more access paths, and more governance work. In this context, the primary question is not whether controls exist, but whether they reduce incident cost, manual effort, and visibility gaps enough to justify consolidation across human identity, NHI, and agentic access.
The article frames agentic AI as an emerging identity category, but the real governance issue is broader: runtime access control has to keep pace with identities that are increasingly non-human and operationally dynamic. For teams evaluating their own model, the relevant baseline is not feature count but whether identity policy, monitoring, and privileged access enforcement can operate coherently across every actor type.
Key questions
Q: How should IAM teams justify consolidation of identity security tools?
A: IAM teams should justify consolidation by showing whether fewer tools reduce manual work, improve policy consistency, and improve detection or response outcomes. The business case should separate governance value from licence reduction. If consolidation does not narrow visibility gaps or shorten remediation cycles, it is only stack simplification, not risk reduction.
Q: Why does identity visibility matter so much for privileged access governance?
A: Identity visibility matters because governance fails when teams cannot connect credentials, accounts, sessions, and policy conditions in one operational view. Without that connection, reviews become paper exercises and response becomes slower. Strong visibility is what lets teams enforce least privilege, detect anomalies, and assign accountability across human and non-human identities.
Q: What breaks when autonomous agents are managed like ordinary NHIs?
A: What breaks is the assumption that access is stable, reviewable, and externally directed. Autonomous agents can decide what to do next, choose tools, and execute without waiting for human approval. A static NHI model misses that runtime behaviour, so entitlement checks alone do not govern the actual risk.
Q: How should organisations measure whether identity governance is actually working?
A: Organisations should measure whether governance reduces incident cost, manual workload, and time to detect or contain risky access. If the only visible improvement is fewer tools, the programme may not be effective. Strong governance shows up in faster policy enforcement, clearer ownership, and fewer unreviewed access paths.
Technical breakdown
Why consolidated privileged access control changes the economics of identity security
Consolidation matters because privileged access management, visibility, and policy enforcement are often split across separate tools that do not share context well. When those controls are centralised, identity teams can reduce duplicate workflows, improve audit trails, and catch unusual access earlier in the chain. The article’s ROI claims are best understood as the financial effect of removing fragmentation, not merely adding another security layer. For human identities, that improves review and enforcement. For NHIs and AI agents, it can reduce the gap between access being granted and access being observed. Practical implication: measure whether your current stack shortens detection and review cycles or simply redistributes them across more consoles.
Practical implication: measure whether your current stack shortens detection and review cycles or simply redistributes them across more consoles.
Runtime enforcement for AI agent identities
The article points to runtime enforcement at machine speed, which is relevant only if the actor can act independently inside the session. In autonomy terms, the risk is not just broad access, but access that is selected and exercised without a human approval gate. That shifts governance from static provisioning to control of live action paths, tool use, and execution timing. If an AI agent can choose what to do next, then the entitlement model must account for decisions made after authentication, not just at issuance. Practical implication: align policy enforcement with runtime decisions, not only with identity creation.
Practical implication: align policy enforcement with runtime decisions, not only with identity creation.
Visibility into privileged credentials, accounts, and activity
The article’s visibility metrics point to a long-standing identity problem: you cannot govern what you cannot reliably see. Visibility is not just inventory. It is the ability to connect credentials, accounts, actions, and policy conditions in a way that supports containment, audit, and anomaly detection. That matters for service accounts, elevated human access, and autonomous systems alike because each can create hidden privilege if it is not continuously mapped back to ownership and purpose. Practical implication: treat visibility as a control prerequisite, not a reporting feature.
Practical implication: treat visibility as a control prerequisite, not a reporting feature.
Breaches seen in the wild
- Moltbook AI agent keys breach — Moltbook breach exposed 1.5M AI agent keys.
- AI LLM hijack breach — attackers used stolen AWS access keys to hijack Anthropic LLM models on Bedrock.
Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Platform consolidation is now an identity governance strategy, not just a procurement choice. The article shows that organisations are looking for measurable outcomes from fewer tools, less manual work, and better enforcement coherence. That matters because fragmented identity stacks produce blind spots between visibility, policy, and response. Practitioners should read this as a signal that governance value is increasingly judged by operational coherence, not feature coverage.
Identity visibility is the real economic lever in identity security. The reported savings on incident prevention and labour are downstream effects of seeing privileged credentials, accounts, and activity clearly enough to act on them. When visibility improves, review cycles shorten, response becomes more targeted, and manual work falls. The implication is that programmes still treating visibility as a passive reporting layer are leaving both risk reduction and ROI on the table.
Runtime control changes the boundary between IAM and PAM. The article’s emphasis on machine-speed enforcement reflects a broader shift: access is no longer only a provisioning event, it is an execution state. That is relevant for human privilege, NHI credentials, and autonomous agents that can act after authorisation. Practitioners should expect access governance to move closer to live session control and away from periodic entitlement snapshots.
Autonomous actors invalidate the assumption that access persists long enough to be reviewed. Access review was designed for conditions where privilege remains stable across a review window. That assumption fails when an autonomous actor can acquire, use, and discard access inside a single session with no human approval gate. The implication is that review-centric governance cannot be the primary control model for autonomous behaviour.
Named concept: identity coherence dividend. This article shows that consolidation can create a dividend when one control plane improves visibility, enforcement, and auditability at the same time. The gain is not the tool count itself, but the reduction in mismatched policy states across identity types. Practitioners should pursue coherence as a governance objective, not as an architecture slogan.
From our research:
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, according to 2024 ESG Report: Managing Non-Human Identities.
- Enterprises that have experienced a compromised NHI averaged 2.7 separate incidents in the past 12 months, according to 2024 ESG Report: Managing Non-Human Identities.
- For a broader control baseline, see Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs for how provisioning, rotation, and offboarding should be governed.
What this signals
Identity-coherence budgets will matter more as teams try to prove ROI across human, NHI, and autonomous access. If a platform only reduces licences but does not compress review, detection, or response time, the governance model is still fragmented. Teams should watch whether their next investment creates measurable coherence across identity flows rather than another reporting layer.
With 1 in 4 organisations already investing in dedicated NHI security capabilities, the market is moving from awareness to operationalisation. That shift means security leaders will need to align governance evidence with runtime controls, auditability, and ownership models that work across services, workloads, and agentic systems.
Autonomous access changes the shape of the control problem, not just the scale. Once an actor can choose tools and timing independently, the useful question is whether the programme can govern behaviour inside the session, not whether the entitlement existed on paper. For deeper background on runtime identity controls, see OWASP NHI Top 10 and OWASP Non-Human Identity Top 10.
For practitioners
- Quantify identity-security ROI by control domain Track incident-prevention savings, labour hours, and audit effort separately for human access, NHI governance, and any autonomous or agentic access paths. Use those numbers to identify where fragmented tooling is driving cost without improving enforcement.
- Map privileged access visibility to real decision points Inventory which credentials, accounts, and sessions are visible before access is granted, during use, and after activity completes. Tie each stage to a named owner so hidden privilege can be traced back to a governance process.
- Separate static entitlement review from runtime enforcement Do not rely on recertification alone for actors that can change behaviour in-session. Combine review with live policy enforcement, especially where non-human identities or autonomous systems can escalate beyond the original request.
- Measure tool consolidation against audit and response outcomes Assess whether the reduced tool count actually shortens response time, improves policy consistency, and lowers manual compliance work. Consolidation only matters if it removes gaps between logging, enforcement, and investigation.
Key takeaways
- The article’s main message is that identity security is being judged by measurable operational outcomes, not by the number of controls deployed.
- The data points to savings from fewer incidents, less manual work, and better visibility, which is why consolidation is becoming a governance question as much as a technology one.
- For practitioners, the priority is to prove that control coherence improves across human, NHI, and autonomous identity paths before accepting ROI claims at face value.
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 AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | The post centres on privileged credential governance and runtime control. |
| NIST CSF 2.0 | PR.AC-4 | Identity governance and least privilege are central to the reported ROI gains. |
| NIST AI RMF | Autonomous access requires governance of runtime behaviour, ownership, and accountability. |
Audit privileged credential handling and strengthen runtime enforcement where access is not stable.
Key terms
- Identity Coherence: Identity coherence is the degree to which policy, visibility, and enforcement describe the same reality across a stack. In practice, it means teams can trace access from issuance to use to review without gaps, which is essential when human, non-human, and autonomous identities coexist.
- Runtime Enforcement: Runtime enforcement is the application of access rules while an identity is actively performing work, not only when it is provisioned. For autonomous systems and privileged workloads, this is the control layer that can stop or constrain behaviour after authentication but before impact.
- Privileged Access Visibility: Privileged access visibility is the ability to see which elevated credentials, accounts, sessions, and actions exist at any moment. It is more than inventory because it links identity to activity, allowing teams to investigate, certify, and contain access across different actor types.
- Identity Governance ROI: Identity governance ROI is the measurable return from reducing risk, manual workload, and audit overhead through better identity controls. In mature programmes, it should be tied to concrete outcomes such as fewer incidents, faster detection, and lower operational burden, not only licence consolidation.
Deepen your knowledge
Identity security ROI, NHI governance, and runtime access control are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building a governance case across human, non-human, and autonomous access, it is worth exploring.
This post draws on content published by Delinea: How Delinea Platform customers achieved $2.2M in annual ROI. Read the original.
Published by the NHIMG editorial team on 2026-05-26.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org