CASE STUDY

Paying Down Identity Debt Before a Major IAM Transformation

September 1, 2026

Paying Down Identity Debt Before a Major IAM Transformation

Organization: Global enterprise
Industry: Technology and Professional Services
Environment: Hybrid identity infrastructure, cloud and on-premises applications
Identity population: 60,000+ workforce and external identities


Executive Summary

The organization had decided to modernize its IAM architecture.

The existing environment had evolved over more than a decade. It contained a central identity platform, several legacy directories, thousands of applications, application-specific accounts, service identities, and a large number of historical access structures.

The modernization program initially appeared straightforward.

The organization planned to introduce a more consistent identity architecture, improve lifecycle automation, strengthen authentication, and consolidate several legacy processes.

Then the discovery phase began.

The team found that the biggest obstacle was not the new technology.

It was the accumulated complexity of the existing environment.

Thousands of access relationships had unclear ownership. Numerous service accounts had no obvious business owner. Some applications depended on legacy authentication mechanisms. Temporary exceptions had remained active for years. Employee movement had resulted in access accumulating across roles.

The organization had accumulated what could effectively be described as identity debt.

Rather than attempting to migrate everything immediately, the organization introduced an identity-debt reduction program before the major transformation.

The objective was not to create a perfectly clean environment.

It was to understand the debt, classify its risk, assign ownership, and remove or remediate the highest-risk items before they became migration problems.


The Environment

The organization had grown through a combination of organic expansion and acquisitions.

Over time, its identity environment became increasingly heterogeneous.

The environment included:

  • 60,000+ workforce and external identities
  • Multiple directories
  • Multiple identity sources
  • Cloud and on-premises applications
  • Legacy applications
  • Thousands of application accounts
  • Service and integration identities
  • Privileged accounts
  • Business-managed groups
  • Application-specific authorization models
  • Long-standing access exceptions

Different business units had also developed their own operating practices.

Some applications were fully integrated with centralized IAM processes.

Others relied on manual tickets.

Some applications had well-defined role models.

Others granted permissions directly to users.

The organization had functioning IAM processes, but they had evolved independently over time.


The Trigger for Change

The organization was preparing for a major IAM transformation.

The goals included:

  • reducing identity fragmentation
  • improving lifecycle automation
  • strengthening authentication
  • improving governance
  • simplifying the identity architecture
  • reducing operational overhead

During early planning, the team encountered an unexpected problem.

There was no reliable answer to a basic question:

What exactly are we migrating?

The organization knew how many employees it had.

It knew the number of applications listed in its primary inventory.

But it did not have a complete picture of the identity relationships surrounding those applications.

The transformation team therefore paused the migration design and began a broader discovery exercise.


The Identity Debt Discovery

The assessment identified several categories of accumulated identity debt.

Legacy Accounts

Thousands of accounts had been created over many years.

Some were clearly active.

Others appeared dormant.

For a subset, the organization could not immediately determine whether they could safely be disabled.

The issue was not simply the existence of old accounts.

It was the uncertainty surrounding them.


Unclear Ownership

A significant number of applications had technical administrators but no clearly accountable business owner.

This created difficulties during governance decisions.

If an application contained sensitive data, who should determine whether a user should retain access?

Technical administration and business accountability were not always the same thing.


Long-Lived Exceptions

The organization discovered exceptions that were originally approved for specific business reasons.

Some had remained active long after the original circumstances had changed.

In several cases, the people who approved the original exceptions were no longer responsible for the applications.

A temporary control had gradually become part of the permanent environment.


Access Accumulation

Employee movement had created another source of debt.

Employees changed:

  • departments
  • responsibilities
  • managers
  • business functions
  • projects

New access was generally added.

Historical access was not always removed.

The result was an environment where some users had permissions associated with multiple historical roles.


Service Account Uncertainty

Service accounts presented perhaps the greatest challenge.

Many were technically important but poorly documented.

The organization could identify an account.

It could sometimes identify the application associated with it.

But determining:

  • who owned it
  • why it existed
  • what it accessed
  • whether it was still required
  • when it could be retired

was often difficult.

This meant that simply deleting apparently unused service accounts was not considered safe.


Why Traditional Cleanup Wasn’t Enough

The organization initially considered a straightforward cleanup exercise:

Find old accounts and delete them.

The assessment showed why that approach could be dangerous.

An old identity object does not necessarily mean an unnecessary identity object.

A service account that has not logged in recently may support an infrequent but critical process.

A role that appears unused may be required during a specific business cycle.

A legacy application account may exist because the application cannot yet support the organization’s preferred authentication architecture.

The organization therefore adopted a different principle:

Unknown does not mean unnecessary. It means unresolved.

This distinction changed the cleanup strategy.


Building an Identity Debt Inventory

The organization created an inventory specifically designed to capture identity debt.

Each item was evaluated against several dimensions:

Ownership

Is there an accountable owner?

Purpose

Is there a documented business or technical purpose?

Usage

Is the identity or access actively used?

Risk

What could happen if the access were misused?

Dependency

What applications or processes depend on it?

Age

How long has the object or exception existed?

Remediation

Can it be removed, redesigned, automated or documented?

This transformed identity debt from an abstract concern into a manageable backlog.


Prioritizing the Debt

The organization did not attempt to resolve everything simultaneously.

Instead, it prioritized items based on risk.

High-priority examples included:

  • privileged accounts without owners
  • dormant privileged access
  • service accounts with excessive permissions
  • applications containing sensitive data without accountable owners
  • expired exceptions
  • accounts disconnected from authoritative identity sources
  • legacy authentication used for high-value applications

Lower-risk items were documented and placed into a longer-term remediation plan.

This prevented the transformation from becoming an enormous cleanup project with no clear endpoint.


Remediating the Highest-Risk Areas

1. Privileged Access

The organization reviewed privileged identities first.

For each privileged identity, it attempted to establish:

  • owner
  • purpose
  • scope
  • required privilege
  • authentication method
  • lifecycle
  • expiration requirements

Where permanent privilege was unnecessary, the organization evaluated alternatives such as time-bound or controlled elevation.


2. Application Ownership

Critical applications were assigned accountable business owners.

The objective was not simply to populate an ownership field.

Owners were expected to participate in decisions regarding:

  • access requirements
  • sensitive entitlements
  • review frequency
  • exceptions
  • lifecycle requirements

This created a stronger governance foundation for the transformation.


3. Long-Lived Exceptions

Exceptions were classified into three categories:

Still required

The business justification remained valid.

Can be remediated

A standard control could replace the exception.

No longer required

The exception could be removed.

For continuing exceptions, ownership and expiration were established.

This prevented the exception inventory from becoming another permanent repository of technical debt.


4. Dormant Access

Potentially dormant access was identified using available activity information.

But the organization did not automatically remove everything that appeared unused.

Instead, it prioritized access based on:

  • privilege
  • application sensitivity
  • identity status
  • ownership
  • historical activity
  • business context

This allowed cleanup to proceed without turning inactivity into an automatic deletion rule.


Addressing the Mover Problem

The organization also recognized that identity debt was continuously being created by employee movement.

A user could change roles without the corresponding access changes being completed consistently.

The transformation therefore introduced a stronger mover model.

The key question became:

What access should change because this person’s organizational role changed?

The process compared previous and new access requirements.

Access that was no longer justified was identified for removal.

This was treated as an ongoing lifecycle control rather than a one-time cleanup exercise.


Modernization of Legacy Authentication

Not every legacy application could be modernized immediately.

Instead, the organization categorized applications into:

Modernize now

Applications that could reasonably adopt the target architecture.

Modernize later

Applications requiring additional engineering work.

Compensating controls

Applications where immediate modernization was not practical.

For the final category, the organization documented the risk and introduced additional governance controls rather than allowing the legacy state to remain invisible.

This created a more realistic modernization roadmap.


Preventing New Identity Debt

Paying down existing debt would have little value if the organization continued creating new debt at the same rate.

The IAM program therefore introduced several preventive controls.

Exceptions required expiration

Temporary deviations were no longer treated as permanent configuration.

Ownership became mandatory

Important applications, privileged access and selected non-human identities required accountable owners.

Lifecycle events became measurable

Joiners, movers and leavers were monitored for control effectiveness.

Access models were reviewed periodically

Roles and groups were no longer assumed to remain valid indefinitely.

New applications were evaluated for governance readiness

Identity integration and ownership became part of application onboarding rather than something addressed after deployment.


Measuring Identity Debt

The organization created a set of indicators to track whether identity debt was increasing or decreasing.

Examples included:

  • number of privileged identities without owners
  • number of expired exceptions
  • number of applications without accountable owners
  • number of dormant privileged accounts
  • percentage of service accounts with documented ownership
  • percentage of applications using legacy authentication
  • percentage of mover events with access remediation
  • percentage of identities covered by lifecycle controls
  • number of unresolved identity dependencies
  • age of outstanding identity-debt items

The objective was not to create a single “identity debt score.”

It was to make the sources of debt visible.


The Transformation Became More Predictable

Once the organization understood its identity debt, the modernization program became easier to plan.

The transformation team could distinguish between:

Things that should be migrated

Things that should be remediated first

Things that should be retired

Things that required compensating controls

Things that required further investigation

This reduced the risk of simply transferring historical complexity into the new IAM environment.

That distinction was critical.

A new IAM platform does not automatically eliminate old identity debt.

If historical groups, excessive permissions, unclear ownership and undocumented exceptions are migrated unchanged, the organization may simply create new infrastructure carrying old problems.


Results

The most important outcome was improved confidence in the identity environment.

The organization developed a clearer understanding of:

  • where identity debt existed
  • which items represented the greatest risk
  • which applications required modernization
  • which access structures could be retired
  • which identities needed ownership
  • which exceptions were still justified
  • which processes required automation

The transformation roadmap also became more realistic.

Instead of treating IAM modernization as a technology migration alone, the organization treated it as a combination of:

Discovery → Rationalization → Governance → Modernization

This reduced the likelihood of reproducing historical problems in the target environment.


Lessons Learned

1. Identity Debt Is Usually Created by Reasonable Decisions

Most identity debt does not originate from obviously bad decisions.

It comes from reasonable short-term decisions made under business pressure.

The problem is that those decisions accumulate.


2. Unknown Is a Governance Finding

An account without a known purpose should not automatically be deleted.

But it should not remain invisible either.

Uncertainty should become something the IAM program tracks and resolves.


3. Migration Can Make Identity Debt Worse

Moving existing access structures into a new platform without rationalization can preserve the same problems under a modern interface.

Modern technology does not automatically create modern governance.


4. Ownership Is a Prerequisite for Sustainable Governance

If nobody is accountable for an application, entitlement or privileged identity, the organization will eventually struggle to make decisions about it.

Ownership is therefore not administrative metadata.

It is part of the control framework.


5. Identity Debt Requires Continuous Management

A cleanup project can reduce existing debt.

It cannot prevent new debt from appearing.

New applications, new employees, reorganizations, acquisitions and technology changes will continuously create new identity decisions.

Identity debt therefore needs to be managed as an ongoing operating discipline.


The Broader Takeaway

Organizations often think about IAM transformation as a technology problem.

Choose the platform.

Integrate the applications.

Migrate the identities.

Automate the lifecycle.

Deploy the new controls.

But the hardest part is often what already exists.

Years of access decisions create historical dependencies.

Years of exceptions create hidden risk.

Years of organizational changes create access accumulation.

Years of application growth create fragmented identity models.

Years of ownership changes create uncertainty.

Together, these form identity debt.

The answer is not to stop making changes.

Organizations will always need exceptions, temporary access, legacy systems and pragmatic decisions.

The objective is to make those decisions visible, accountable and reversible.

A mature IAM program therefore asks two questions continuously:

What identity debt do we already have?

and:

What are we doing today that could become tomorrow’s identity debt?

The first question helps reduce existing risk.

The second prevents the cycle from starting again.

Ultimately, the most effective IAM transformations are not the ones that simply introduce new technology.

They are the ones that leave the organization with a simpler, more understandable and more governable identity environment than the one they started with.