The average enterprise identity team manages separate tools to handle workforce identity security. Each tool with its own interface, its own policies, its own alerts, and its own renewal cycle. And that number does not count the tools layered in for customer identities, machine accounts, or cloud entitlements.
This is a growth problem that security teams never planned for. Every new SaaS app, every cloud migration, every remote work expansion brought a new identity requirement. Teams responded by buying point solutions. The stack grew. And now, instead of being more secure, most organizations find themselves more exposed because nobody has a full picture of who can access what.
Why Does an Identity Stack Get So Complex in the First Place?
Identity complexity does not arrive at all at once. It builds quietly over years. A company starts with Active Directory and a basic SSO setup. Then it moves workloads to AWS. Then it acquires a startup running on Google Workspace. Then compliance demands a PAM solution for privileged accounts. Then the security team adds an IGA tool for access reviews. Then a cloud infrastructure entitlements manager for a multi-cloud sprawl. Then an ITDR tool because someone read about a breach that started from an identity gap.
Each purchase made sense at the time. But together, these tools rarely talk to each other cleanly. Identity teams typically use an average of 11 tools for workforce identity security, including commercial, open source, and homegrown solutions, and have to integrate and orchestrate several technologies to interoperate between a bunch of different consoles just to get their jobs done.
The bigger issue is that enterprises typically have multiple tools covering the same functions. You end up paying for overlapping capabilities while still having blind spots between systems.
What are the Root Problems Worth Solving?
Before jumping to fixes, it helps to name the specific problems clearly.
Identity Sprawl
Identity sprawl is the explosive growth of identities across diverse environments. A single employee might have a corporate Active Directory account, an Okta profile, a Salesforce login, a GitHub account, a Jira account, and a handful of other SaaS credentials, most of which were provisioned separately and are reviewed on different schedules. Over 60% of organizations manage more than 21 disparate identities per user.
When someone leaves the company, deprovisioning all of those accounts consistently requires either a very mature automation layer or a lot of manual work. Most teams have neither.
Orphaned and Over-Privileged Accounts
Access accumulates. Someone gets added to a project, gets broad permissions to move fast, and then the project ends. The access stays. Multiply that by hundreds of employees and years of role changes, and you have an environment full of accounts with far more access than they need.
Access decisions that were temporary slowly become permanent. Privileges accumulate across job changes and project moves. Nobody circles back to clean them. Complexity becomes normal.
Non-Human Identities Flying Under the Radar
Service accounts, API keys, OAuth tokens, bot credentials, and now AI agents all represent machine identities. Non-human identities carry distinct lifecycle and governance needs and can introduce risk if they are unmanaged or ownerless. Most identity programs were built around human users and have not caught up to the scale of machine identities that now exist in the average enterprise.
No Single Source of Truth
When identity data is spread across multiple directories, SaaS platforms, and legacy systems, nobody has a complete and accurate record of who has access to what. Most problems in IAM start because people cannot see the full picture. Information is spread across many tools, and everyone carries a different version of truth.
9 Tips to Cut the Complexity in Your Identity Stack
1. Start with a focused inventory and map the actual work
List every identity source and every place of identity live. Include cloud accounts, SaaS apps, service accounts, CI/CD tokens, vendor logins, and on-prem directories.
Don’t just name tools. Track three things for each item. One. what identities it holds. Two. Who owns the source. Three. how often it changes. That simple table exposes where sprawl is worse and where automation will pay off.
2. Measure the time you spend on routine identity tasks
Pick three repeat tasks such as removing stale accounts, completing an entitlement review, and investigating a suspicious admin session. Time the full process, including exports, approvals, and manual reconciliation.
Those times show where tool handoffs cost you the most. Use those measurements as the decision criteria for consolidation, not vendor demos.
3. Remove overlapping tools first
Look for exact feature overlap across vendors. If two tools do the same core job but with different data sets, consolidate the one with the cleaner data model and the lower daily ops cost.
Small gains here compound. Cutting one duplicated product can remove several daily exports, three approval steps, and a dozen rules to maintain.
4. Centralize identity discovery and inventory
Make one system the source of truth for identities and entitlements. That system does not need to replace every tool immediately. It must simply provide discovery and a single view so analysts do not rebuild context for each incident.
When discovery is central, investigations are shorter and audits are simpler. This is where most operational wins happen.
5. Standardize policies and apply them once
Write access rules in plain language and keep them in a central place. When the rule changes, push that change to enforcement points with automation rather than patching each tool manually.
Consistent policy removes drift. Drift is what creates orphaned permissions and surprise admin rights that attackers use.
6. Automate routine clean up and remediation
Automate the tasks that burn time every week. Examples. auto-expire temp roles, auto-revoke stale service accounts after a test window, and auto-open tickets for human review when automation is unsure.
Automation reduces human error and frees staff for higher value work. Start with safe actions such as alerts and suggested changes, then expand to reversible actions once you trust the flow.
7. Centralize logging and correlation for identity signals
Identity events live in many places. Collect them into one stream so you can correlate a login, a role change, and an admin action without manual stitching.
Unified logs speed detection and shorten investigations. They also give you single reports for audits instead of stitched spreadsheets.
8. Use governance as a continuous, measurable process
Run small, frequent entitlement reviews rather than massive annual sweeps. Track how long approval cycles take, how many exceptions exist, and how many accounts are stale. Make those numbers your KPIs.
Smaller, frequent reviews are cheaper and more accurate. They stop permission from accumulating.
9. Phase consolidation while keeping business continuity in mind
Replace one set of functions at a time. For example, centralize discovery first, then move governance, then privileged access. Keep rollback plans and clear owners for each phase.
Communicate changes to app owners and provide short training. Most resistance is a fear of breakage. Show measured wins on the real tasks you timed earlier to earn trust.
How ObserveID Helps
ObserveID brings IAM, IGA, PAM, and CIEM into a single platform, so your team is not jumping between consoles to get a full picture. It connects to your existing environment through 100+ prebuilt connectors, including legacy systems via RPA bots, covers both human and non-human identities, and automates Joiner-Mover-Leaver workflows out of the box.
Obi, ObserveID’s built-in AI assistant, sits on top of all of this. It continuously monitors entitlements, policy violations, and peer behavior to flag privilege drift and Separation of Duties conflicts early. You can ask it plain-language questions and get structured, explainable reports in seconds. And because everything runs inside ObserveID’s own architecture, your identity data never leaves your environment.
Ready to see what a simpler identity stack looks like in practice? Request a Demo with ObserveID today!