By NHI Mgmt Group Editorial TeamPublished 2025-10-14Domain: Governance & RiskSource: Imprivata

TL;DR: Boards are demanding measurable cybersecurity outcomes as budgets tighten, and Imprivata argues that access and identity analytics are becoming the evidence layer for proving risk reduction, productivity gains, and workflow friction. The real shift is that security programmes are now judged by operational impact, not promise or posture alone.


At a glance

What this is: This is an Imprivata analysis arguing that access and identity analytics are becoming the clearest way to prove cybersecurity value, productivity impact, and risk reduction.

Why it matters: It matters because IAM, NHI, and human identity teams are being pushed to justify controls with measurable operational outcomes, not only compliance or policy coverage.

By the numbers:

👉 Read Imprivata's analysis of access analytics and measurable cybersecurity ROI


Context

Boards are asking a different question about cybersecurity spend: not whether a tool is promising, but whether it produces measurable operational and risk outcomes. That shift is pushing access analytics, user behaviour data, and identity telemetry into the centre of IAM programme discussions, because those are the data points that show whether controls reduce friction or simply move it around.

In practice, this is an identity governance problem as much as a budgeting problem. When every login, logout, and access request can be measured, organisations can see where access design supports productivity, where privilege sprawl raises cost and risk, and where security controls fail to prove their value across human identity, NHI, and workload access models.


Key questions

Q: How should security teams prove that access controls are delivering value?

A: They should connect identity telemetry to operational outcomes such as reduced approval time, lower privilege sprawl, fewer exceptions, and better workflow adoption. That gives boards evidence that controls are changing behaviour and risk, not just generating reports. Access analytics works best when it supports decisions about entitlement cleanup, process redesign, and investment prioritisation.

Q: Why do boards care about access analytics in cybersecurity programmes?

A: Boards care because access analytics shows whether security spend reduces friction, improves productivity, and limits unnecessary privilege. In a budget-constrained environment, leaders want proof that controls are paying off in measurable terms. Analytics becomes the evidence layer that links cybersecurity investment to operating performance.

Q: What is the difference between compliance reporting and identity intelligence?

A: Compliance reporting shows whether controls or policies exist. Identity intelligence shows how access is actually used, where friction appears, and where privilege has drifted beyond business need. That difference matters because only the second view can support decisions about optimisation, cost reduction, and real risk exposure.

Q: How can IAM teams reduce privilege sprawl without harming productivity?

A: They should use usage evidence to separate required access from inherited access, then remove or recertify entitlements that no longer match behaviour. The goal is not restriction for its own sake. It is to preserve necessary access while eliminating unused privilege that adds cost and risk.


Technical breakdown

Access analytics as an identity governance control surface

Access analytics turns routine identity events into operational evidence. Login, logout, access request, and privilege-use data can show whether users are working inside intended workflows or whether security controls are creating delay, rework, or unnecessary approval churn. For IAM teams, that makes telemetry more than audit material. It becomes a governance signal that links access design to real business behaviour. The strongest programmes use this data to identify adoption patterns, friction points, and over-entitled accounts before those issues become cost or risk problems.

Practical implication: treat access telemetry as a governance input for entitlement and workflow decisions, not just as a reporting archive.

Why privilege sprawl distorts both risk and ROI

Privilege sprawl is not only a security issue. It also inflates support burden, expands review scope, and obscures which access paths are actually needed. When accounts retain more access than they use, organisations lose the ability to separate necessary privilege from legacy entitlement. That makes value measurement harder because the business is no longer seeing the cost of the current operating model, only the accumulated cost of past exceptions. Access intelligence helps expose that drift by showing where privilege exists without corresponding use.

Practical implication: use access usage data to find entitlements that persist without business justification and fold them into remediation and recertification cycles.

Identity telemetry as a board-level value signal

Boards rarely need raw identity data. They need evidence that cybersecurity spend changes business performance, reduces risk exposure, or improves operational efficiency. Identity and access intelligence can provide that evidence when it connects secure workflow adoption, reduced friction, and lower unnecessary access volume to measurable outcomes. The key is to frame the data in terms leaders recognise: less wasted effort, fewer policy exceptions, cleaner privilege boundaries, and more confidence that security investment is improving operating health rather than only expanding control overhead.

Practical implication: report identity metrics in operational and financial terms, such as workflow adoption, privilege reduction, and avoided control overhead.


NHI Mgmt Group analysis

Access analytics has become the proof layer for identity governance. As budgets tighten, the programmes that survive scrutiny will be the ones that can show how identity controls affect productivity, privilege use, and risk reduction in the same dataset. That makes access telemetry central to governance across human IAM, NHI oversight, and workload access. Practitioners should treat measurement as a control function, not a reporting afterthought.

Privilege sprawl is now a cost problem as much as an access problem. When entitlement growth outpaces actual use, organisations pay twice: once in security exposure and again in review, support, and exception handling overhead. The more useful question is not how many permissions exist, but how many are still justified by real behaviour. Practitioners should use usage-based evidence to shrink entitlement drift.

Measurable cybersecurity outcomes are becoming the procurement threshold. Boards increasingly want evidence that an identity product changes operating conditions, not just that it reports them. That raises the bar for every IAM and NHI programme because controls must now connect to business-relevant outcomes such as reduced friction, faster approvals, and lower unnecessary access. Practitioners should align programme metrics with board reporting expectations.

Identity telemetry is the named concept that matters here. The article points to a governance model where access data is not just observed but operationalised as a decision input for cost, risk, and workflow design. That shifts identity from a compliance function into a management system for security and productivity. Practitioners should build around that broader operating model, not isolated audit reports.

From our research:

  • 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, according to The State of Non-Human Identity Security.
  • A further 47% have only partial visibility, showing that access intelligence gaps are already widespread across delegated identity ecosystems.
  • That visibility problem sits alongside broader lifecycle risk, so readers should also review 52 NHI Breaches Analysis for recurring failure patterns in exposed access paths.

What this signals

Privilege visibility is becoming a budget line, not just a security metric. When leaders ask for measurable outcomes, access data must show where entitlement cleanup reduces cost as well as risk. Programmes that cannot tie identity telemetry to workflow improvement will struggle to justify expansion.

The next maturity jump is likely to come from combining access analytics with lifecycle governance, especially where service accounts, integrations, and delegated access are involved. That is where hidden cost and hidden risk tend to accumulate, and where measurable outcomes are easiest to demonstrate.

Practitioners should expect stronger pressure to evidence control efficacy across human IAM and NHI governance together. The more unified the reporting model, the easier it becomes to show that security investment improves operating health rather than simply increasing control volume.


For practitioners

  • Build access analytics into governance reporting Use login, logout, access request, and privilege-use patterns to show how controls affect workflow efficiency, entitlement drift, and security outcomes. Present the data in terms boards understand, including friction, waste, and risk reduction.
  • Measure privilege sprawl against actual usage Compare active access with observed need, then remove standing entitlements that persist without evidence of use. Fold those findings into access reviews and remediation queues so the programme reduces both attack surface and operational overhead.
  • Tie identity metrics to business outcomes Report identity governance results alongside productivity and cost indicators, such as approval delays, secure workflow adoption, and exceptions avoided. That creates a defensible narrative for security investment in budget discussions.
  • Use telemetry to identify control-induced friction Look for repeated reauthentication, approval bottlenecks, and access paths that slow teams without reducing risk. Where friction is high and value is low, redesign the control instead of expanding it.

Key takeaways

  • Access analytics is becoming the most credible way to show whether identity controls reduce friction, risk, and waste.
  • Privilege sprawl increases both attack surface and operating overhead, so usage-based evidence should drive remediation.
  • Boards now expect cybersecurity investments to prove measurable business impact, which makes identity telemetry a governance requirement.

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.

FrameworkControl / ReferenceRelevance
NIST CSF 2.0GV.OC-1Boards want outcome evidence tied to organisational mission and performance.
NIST Zero Trust (SP 800-207)PR.AC-4Access decisions should reflect actual need and observed use, not static entitlement growth.
OWASP Non-Human Identity Top 10NHI-03Privilege sprawl and access drift are core NHI governance risks where entitlement use must be measured.

Track non-human access usage and recertify standing privileges against actual operational need.


Key terms

  • Access analytics: Access analytics is the practice of examining login, logout, request, and usage data to understand how identities behave in real environments. It turns routine identity events into evidence for governance, showing where access supports work, where it creates friction, and where privilege is no longer justified.
  • Privilege sprawl: Privilege sprawl is the accumulation of access rights that exceed what an identity actually needs or uses. It often grows through exceptions, role drift, and legacy entitlements, then increases both security exposure and operational overhead because more access must be reviewed, defended, and explained.
  • Identity telemetry: Identity telemetry is the stream of observable events generated by identity systems and access activity. It includes authentication, authorisation, and usage signals that can be analysed to support governance, risk reduction, and operational decision-making across human, non-human, and workload identities.
  • Operational intelligence: Operational intelligence is the use of live or historical activity data to make better security and business decisions. In identity programmes, it means using access evidence not just for audit, but to improve productivity, reduce waste, and justify where controls should be tightened or redesigned.

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.

This post draws on content published by Imprivata: Boards demand measurable outcomes from cybersecurity investments. Read the original.

NHIMG Editorial Note
Published by the NHIMG editorial team on 2025-10-14.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org