Most organizations have SSO, MFA, and an identity governance tool in place. Yet identity risk keeps going up, not down. This article breaks down the most common identity governance pitfalls we see today-across people, process, and technology-and what practical steps lean IT teams can take to fix them.

Identity Governance Pitfalls Today: Key Facts at a Glance

  • Mid-sized companies typically run on 40-100+ SaaS applications, but only a fraction are automated via SCIM or native connectors. The rest rely on tickets, spreadsheets, and tribal knowledge.
  • Stolen or compromised credentials remain one of the top initial access vectors in breaches, and identity-based attacks now account for roughly a third of intrusions.
  • Non-human identities (service accounts, API keys, bots, workloads, AI agents) already outnumber human users in most environments-commonly by 20:1 or more-and in some cases by well over 80:1.
  • Studies of real-world environments show that more than half of SaaS licenses are unused, and a large portion of those belong to people who changed roles or left the company-classic symptoms of weak offboarding and SaaS governance.
  • Most organizations still rely on periodic access reviews (e.g., quarterly certifications) as a primary control, even though access risk changes daily as people move, projects spin up, and new SaaS tools appear.

Pitfall 1: Treating Identity Governance as a One-Time Project

Turn identity governance from a checkbox exercise into continuous risk management

The first and biggest mistake: treating identity governance as something you "implement once" for a compliance framework, then move on.

Typical pattern:

  • Run a role-mining project, define some roles and groups.
  • Stand up an IGA platform, connect a few core systems.
  • Run quarterly or annual access reviews to satisfy audit requirements.

On paper, this checks a lot of boxes. In reality, your environment keeps changing:

  • New SaaS apps show up every month.
  • Teams reorganize and roles morph.
  • Contractors come and go.
  • AI tools and automation introduce whole new classes of identities.

Identity risk, meanwhile, is continuous. Credentials are a favored target because attackers can simply log in as a legitimate user. Breach data consistently shows that credential misuse and social engineering together drive a large slice of incidents, year after year.

If governance doesn't move at the same pace as these changes, the picture you certify during reviews diverges from reality within weeks.

What this means for security, compliance, and ROI

The implications of "project-based" governance are deep:

  • Security gaps between reviews - Role changes, one-off access grants, temporary project permissions, and emergency production access requests pile up between certification cycles. By the time the next review happens, you're rubber-stamping months of accumulated exceptions.
  • False sense of compliance - Audits often check that reviews occurred, not that access was actually appropriate over time. You can be "compliant" on paper while still carrying a lot of unnecessary risk in practice.
  • High effort, low impact - Business owners get desensitized by long, repetitive review campaigns. They bulk-approve access because they lack context, and your IT team spends weeks chasing attestations that barely change anything.

What better looks like:

  • Treat identity governance as identity risk management, not just access certification.
  • Combine periodic reviews with event-driven controls: trigger reviews when high-risk changes happen (role change, privilege escalation, new production access), not only on a fixed schedule.
  • Measure outcomes instead of activities: fewer orphaned accounts, fewer overprivileged admins, faster offboarding, fewer manual tickets.

Pitfall 2: Stopping at SCIM-Leaving Most of Your SaaS Stack Manual

Expose and close the coverage gap between SSO, SCIM, and reality

Most teams think they have "identity automation" because:

  • SSO is in place (Okta, Entra ID, etc.).
  • A subset of apps are SCIM-compliant and hooked into HR-driven provisioning.

The reality on the ground:

  • Only a fraction of apps in the stack support SCIM.
  • Even when SCIM is available, it usually handles coarse group assignments, not fine-grained entitlements.
  • Departmental tools and "long tail" SaaS rarely get automated. They live outside the central identity plane, owned by marketing, finance, product, or individual teams.

So you end up with two worlds:

  1. The automated 20% - A handful of SCIM-enabled apps where onboarding and offboarding work reasonably well.
  2. The manual 80% - Everything else. IT tickets, email requests, and shared admin credentials.

This is the coverage problem: you automated the easy apps, not the important ones.

The impact on onboarding, offboarding, and SaaS governance

When automation stops at SCIM apps, the downstream effects show up everywhere:

  • Slow, inconsistent onboarding - New hires wait days for full access because half their tools still require a human to create accounts and map permissions.
  • Hope-based offboarding - Terminations close the primary directory account, but dozens of SaaS apps and internal systems are left untouched. Former employees keep access to Slack workspaces, Git repositories, shared drives, internal wikis, and more.
  • Identity sprawl and shadow IT - Teams buy their own tools when central IT can't keep up. These tools rarely integrate cleanly with your IdP or IGA, creating more islands of unmanaged identities.
  • SaaS waste - Licenses stay assigned to ex-employees and inactive users. Without automated reclamation tied to identity lifecycle, unused seats and premium plans quietly drain budget.

What better looks like:

  • Aim for complete coverage, not just "SCIM coverage." Your governance model should span SCIM and non-SCIM apps, internal systems, and cloud platforms.
  • Use connector technology or orchestration that can work with apps even when APIs or SCIM aren't available.
  • Standardize joiner-mover-leaver (JML) workflows across your entire stack, so onboarding and offboarding are deterministic, not ticket-driven.
  • Treat SaaS governance as part of identity governance: access drives license assignments and reclamation, not the other way around.

Pitfall 3: Ignoring Non-Human Identities (Service Accounts, Bots, and AI Agents)

Bring machine identities into your governance program

For years, identity governance focused almost entirely on people. That era is over.

Today, non-human identities-service accounts, API keys, workload identities, certificates, RPA bots, CI/CD pipelines, and AI agents-already outnumber human users by tens or even hundreds to one in many environments.

Yet most organizations still:

  • Track these accounts in ad-hoc spreadsheets, if at all.
  • Reuse shared service accounts across multiple apps and environments.
  • Grant broad, static privileges "because things might break otherwise."
  • Rotate secrets manually, irregularly, or not at all.

Many major incidents now involve compromised machine identities or secrets. Attackers love them because:

  • They often have high or unlimited privileges (database admin, production cluster admin, cloud root access).
  • They run 24/7 and don't follow human behavior patterns, making anomalous usage harder to spot.
  • They're rarely included in standard access reviews.

Reduce production and OT security risk from invisible accounts

Ignoring non-human identities has direct consequences:

  • Invisible attack surface - You can't protect what you can't see. If you don't know how many service accounts exist, who owns them, and what they can do, you're effectively blind.
  • Overprivileged infrastructure - Many service accounts are granted "god mode" access to production, OT systems, and sensitive data simply because no one wants to risk breaking a workload.
  • Stale and orphaned secrets - Tokens and keys for former employees, decommissioned apps, or old pipelines remain active long after their purpose is gone.

What better looks like:

  • Treat machine identities as first-class citizens in your identity governance strategy.
  • Inventory service accounts, API keys, workload identities, and bots. Assign each one a clear owner and business purpose.
  • Apply least privilege to non-human identities: start from what the workload actually uses, then strip unnecessary permissions.
  • Automate lifecycle: creation, rotation, revocation, and attestation for non-human identities, just as you do for human users.
  • Bring machine identities into the same single pane of glass as human accounts, so audits and investigations don't have to cross three different tools and five teams.

Pitfall 4: Least Privilege in Slides, Not in Production

Turn least privilege from a principle into enforceable access policies

"Least privilege" is one of the most cited security concepts-and one of the least implemented.

Common symptoms:

  • Large "catch-all" groups (e.g., Engineering - All, Finance - All) with access to far more applications and data than needed.
  • Admin rights granted "temporarily" for troubleshooting and never revoked.
  • Broad production access granted to entire teams rather than to narrow, auditable roles.
  • SoD (Segregation of Duties) violations accepted as one-off exceptions and forgotten.

Over time, access only ever grows. Employees change roles, move teams, pick up temporary responsibilities-but their entitlements rarely shrink. The result is identity sprawl at the permission level.

How adaptive access and fine-grained control change the risk curve

When least privilege isn't enforced, several things happen:

  • Breaches go deeper, faster - Compromising a single overprivileged account gives attackers wide reach across systems.
  • Investigations are harder - When "everyone" has broad access, it's nearly impossible to determine who should have had what at the time of an incident.
  • Compliance pain escalates - SoD violations, excessive admin rights, and vague role definitions show up as repeat findings in audits.

What better looks like:

  • Start with high-risk systems-production environments, financial systems, customer data stores. Map concrete entitlements (projects, repositories, channels, roles) and align them to well-defined access control policies.
  • Move beyond pure RBAC to incorporate attribute-based or policy-based access where it makes sense: environment (prod vs. dev), location, device trust, time of day, or risk signals.
  • Use adaptive access for sensitive actions: step-up authentication or just-in-time elevation instead of standing admin rights.
  • Continuously mine usage data to right-size access. If a privilege hasn't been used in months, that's a candidate for removal.

Least privilege isn't a one-time clean-up; it's an ongoing feedback loop between policy, telemetry, and automation.

Pitfall 5: Hope-Based Offboarding and Orphaned Accounts

Design offboarding as a deterministic, automated workflow

Ask your team a simple question: "When someone leaves, are you 100% sure we remove every access they ever had?"

In most organizations, the honest answer is "no."

Typical offboarding looks like this:

  • HR closes the record in the HRIS.
  • IT disables the primary directory or IdP account.
  • Someone maybe removes a few obvious app accounts.

What gets missed:

  • Departmental SaaS tools owned by business teams.
  • External collaboration spaces (customers, partners, vendors).
  • Privileged access in cloud, OT, and production systems.
  • Non-human identities created or owned by that user (personal access tokens, automation scripts, API keys).

It's common to find active accounts and tokens belonging to employees who left months or years ago. These orphaned accounts are low-effort, high-impact targets.

Why complete deprovisioning is the cheapest risk reduction you can buy

The cost of incomplete offboarding is high:

  • Direct breach risk - A former employee (or someone who compromised their account) can still get into Slack, GitHub, internal SaaS, or cloud consoles.
  • Compliance violations - Regulations expect you to be able to prove that access is revoked promptly when someone leaves. Orphaned accounts undermine that claim.
  • SaaS overspend - Licenses attached to ex-employees keep renewing quietly.

What better looks like:

  • Make offboarding the strongest, most automated part of your lifecycle. When HR marks a departure, that should:
    • Trigger automatic deprovisioning across IdP, core SaaS, and long-tail apps.
    • Revoke tokens, disable service accounts tied to that identity, and rotate secrets where needed.
  • For contractors, tie access to contract end dates and enforce explicit re-approval if they're extended.
  • Generate a single audit trail per offboarding event: what was removed, where, and when.

If you only have capacity to fix one thing in the next quarter, end-to-end offboarding is usually the highest-ROI place to start.

Pitfall 6: Fragmented Tooling and No Single Pane of Glass

Orchestrate identity flows instead of stitching tools by hand

Identity today spans a messy mix of systems:

  • HR and ITSM tools where users and tickets live.
  • IdPs and SSO for authentication.
  • IGA or legacy IAM platforms for certain systems.
  • Cloud IAM for IaaS/PaaS.
  • SaaS admin consoles, VPNs, OT systems, and homegrown apps.

Most teams end up with scripts, one-off integrations, and manual work gluing these together. No one has a single answer to basic questions like:

  • "Who has production access right now?"
  • "Which human and non-human identities can reach this critical system?"
  • "Show me every place this user had access, and prove it was removed when they left."

This fragmentation makes it nearly impossible to run consistent policies or generate clean, trustworthy audit evidence.

What "good" looks like: unified views, automation, and audit-ready trails

To get out of this trap, you don't necessarily need another giant platform-but you do need orchestration and visibility:

  • A single pane of glass that shows identities (human and non-human), entitlements, and activity across your key systems.
  • Identity orchestration that ties HR events, access requests, approvals, provisioning, and reviews into end-to-end workflows-not isolated steps spread across tools.
  • Identity automation for repetitive patterns: joiner-mover-leaver flows, production access elevation, SaaS license reclamation, and access review evidence collection.
  • Immutable audit trails capturing who approved what, when access was granted or removed, and how policies were enforced.

This is the layer that turns your patchwork of systems into an identity fabric instead of a set of accidental silos.

Where to Go from Here: Practical Next Steps

You don't fix identity governance by buying another tool and hoping for the best. You fix it by being deliberate about what you tackle first.

Here's a pragmatic sequence we see working for lean IT teams:

  1. Map your identity landscape

    • List your top 20-30 business-critical systems (including SaaS, cloud, and OT where applicable).
    • For each, identify: identity source, provisioning model (manual, SCIM, custom), who approves access, and how offboarding happens.

  2. Expose your coverage gap

    • Mark which systems are fully automated, partially automated, or manual.
    • Highlight systems where offboarding is manual or unclear. These are prime candidates for incidents and audit findings.

  3. Start with one or two high-impact workflows

    • Common starting points: new hire onboarding for your core app set; complete offboarding; production access elevation.
    • Define the ideal flow (trigger, approvals, provisioning, logging) and automate that end-to-end before moving on.

  4. Bring non-human identities into scope early

    • Inventory service accounts and tokens in your most critical environments.
    • Assign owners, map privileges, and begin rotating or tightening access where risk is obviously high.

  5. Align governance with risk, not calendars

    • Keep periodic reviews, but add event-driven reviews for role changes and high-risk access.
    • Measure success by reductions in orphaned accounts, overprivileged roles, and manual tickets-not just by "reviews completed."

  6. Invest in orchestration and visibility, not just more point tools

    • Whether you extend an existing IGA stack or adopt a modern governance platform, prioritize: complete coverage (SCIM and non-SCIM), fine-grained control, and simplicity your small team can actually run.

Identity governance won't ever be "done." But with the right focus and automation, it can move from a constant source of anxiety to a quiet, reliable control that scales with your business.

Identity Governance Pitfalls: Frequently Asked Questions

How is identity governance different from identity and access management (IAM)?

Identity and access management is the broader discipline that covers authentication (logins), authorization, and account management. Identity governance is the governance layer on top of that: it defines and enforces who should have what access, why, and for how long-and provides the evidence to prove it.

In practice:

  • IAM handles the mechanics of access (SSO, MFA, directory services, basic provisioning).
  • Identity governance handles the decisioning and oversight (policies, approvals, reviews, audit trails, and risk-based controls).

You need both. SSO without governance just makes it easier to log in to things you maybe shouldn't have.

How do I know if identity sprawl is a problem in my organization?

Warning signs of identity and access sprawl include:

  • No single inventory of apps, admins, or service accounts.
  • Different answers from different teams when you ask "who owns this system?"
  • Access requests that route through email or chat instead of a structured workflow.
  • Difficulty answering audit questions like "who had access to this system last quarter?"
  • Regular surprises when you discover old accounts for ex-employees or long-gone contractors.

If it takes more than a few minutes to confidently answer "who has access to X right now?", you already have an identity sprawl problem.

Where should we start if we can't afford a full IGA overhaul?

You don't need a six-month program to make progress. Start with:

  1. Critical systems only - Pick three to five: HR, IdP/SSO, your main SaaS collaboration tools, and your primary production environment.
  2. One lifecycle flow - Often complete offboarding, since that's where risk and value are highest.
  3. Simple automation first - Even basic rules like "when HR marks an employee as terminated, disable SSO and deprovision these five core apps, and log the result" can dramatically reduce risk.

Once you've proven value on a narrow slice, it's easier to justify expanding coverage and investing in deeper automation.

How should we handle non-human identities in practice?

Treat non-human identities like very powerful, very boring employees:

  • Give them an owner - A person or team that's accountable for that identity and its permissions.
  • Define purpose and scope - Which system does it access? For what? From where? With which maximum privilege?
  • Automate lifecycle - Creation, rotation, and deletion should follow clear policies, not ad-hoc scripts.
  • Review regularly - Include them in access reviews, especially for production, OT, and high-sensitivity systems.

The goal is simple: no anonymous, orphaned, or overprivileged machine account should exist in your environment.

Isn't my SSO (Okta, Entra ID, etc.) enough for identity governance?

SSO and modern IdPs are critical, but they solve a different problem.

They excel at:

  • Centralizing authentication and enforcing MFA.
  • Simplifying user login experiences.
  • Handling basic group-based access for certain apps.

They typically do not provide:

  • Complete coverage across non-SCIM apps, shadow IT, and internal systems.
  • Fine-grained permissions down to channels, repositories, projects, or specific data sets.
  • End-to-end joiner-mover-leaver workflows across every app and identity type.
  • Rich access reviews, policy enforcement, and audit-ready evidence.

Think of your IdP as the front door, and identity governance as the rules about who gets keys to which rooms, how long they keep them, and how you prove it to auditors and security teams.