What Is CIEM? Cloud Entitlement Management Explained
CIEM finds every cloud identity, works out what it can actually do, and trims unused permissions. How it works and how it fits with CNAPP, IGA and PAM.
In this post
CIEM (cloud infrastructure entitlement management) is the practice, and the category of tools, for discovering every identity in your cloud environments, working out what each one can actually do, and cutting those permissions back to what’s needed. It exists because cloud permissions grow far faster than anyone can review them by hand.
I come at this from privileged access and identity governance, and CIEM is where both of those disciplines run into the cloud and discover the rules are different. This post covers what CIEM is, the problem it solves, what the tools do, how it relates to CSPM, CNAPP, IGA and PAM, and how I’d start.
What is cloud infrastructure entitlement management?
An entitlement is a permission an identity holds: read this bucket, start that instance, assume this role, modify that policy. Cloud infrastructure entitlement management is about managing those entitlements in IaaS and PaaS platforms like AWS, Azure and Google Cloud, across both people and workloads.
The term came out of the analyst world around the turn of the decade, and the category has since been partly absorbed into broader cloud security platforms. The tooling has moved around. The problem hasn’t.
What makes CIEM different from older identity tools is that it answers a question they can’t: given every policy, role, group, trust and boundary in play, what can this identity actually do? A directory tells you who’s in a group. An IGA tool tells you who approved it. CIEM tells you that the group, combined with an inline policy, a role assumption and a permissive resource policy, means a junior developer can delete a production database in another account.
Why are cloud permissions so hard to manage?
On-premises, privileged access was mostly about a manageable number of admin accounts and the systems they could reach. Cloud changes the math in a few ways.
There are thousands of granular permissions. Each major cloud provider exposes many thousands of individual actions across its services, and new ones arrive with every service launch. Nobody writes least-privilege policies by hand at that scale, so people reach for broad managed policies and wildcards instead.
Most granted permissions go unused. Permissions are granted for a project, a migration or “just in case,” and they rarely come back. In most environments, a large share of granted cloud permissions is never exercised at all. Those unused permissions are pure attack surface.
Effective permissions are hard to compute. Identity policies, resource policies, permission boundaries, organization-level guardrails, group membership and role assumption all interact. Two policies that each look reasonable can combine into something nobody intended.
Cross-account and cross-cloud access is everywhere. Organizations run many accounts, subscriptions and projects, connected by roles that trust each other. A role in a sandbox account that can assume a role in production is a privilege escalation path, whether anyone designed it that way or not. Add third-party SaaS tools that hold cross-account roles into your environment, and the trust graph gets wide quickly.
Workload identities outnumber humans. Service accounts, instance roles, functions, CI/CD pipelines, Kubernetes service accounts and access keys for integrations. In most cloud estates, non-human identities outnumber people by a wide margin, and they’re the ones with the most standing access and the least oversight.
| Identity type | Examples | Typical problem |
|---|---|---|
| Human, federated | Engineers signing in through the corporate IdP into cloud roles | Broad roles kept “just in case,” rarely reviewed |
| Human, local | IAM users, local accounts created before federation | Long-lived keys, no MFA, orphaned when people leave |
| Workload | Instance roles, managed identities, service accounts | Over-permissioned at creation and never trimmed |
| Pipeline | CI/CD roles that deploy infrastructure | Effectively admin, often across many accounts |
| Third party | SaaS tools and vendors with cross-account roles | Trust relationships nobody owns or revisits |
What this usually looks like: Say a CI/CD role was created with administrator rights to get the first deployment working, with a note to tighten it later. Two years on, it can modify IAM in every production account, read the main data stores and be assumed by any branch build in the repository. Nobody would grant that to a person, but because it’s a pipeline, it never appears in a review. That’s the kind of identity CIEM exists to surface.
What do CIEM tools do?
Products vary, but the core capabilities line up around five jobs.
- Discover identities and entitlements. Pull every human and non-human identity, role, group, policy and trust relationship from each cloud account, subscription and project, and ideally tie federated users back to the person in the corporate directory.
- Compute effective permissions. Evaluate all the policy layers together to show what each identity can really do, including what it can reach by assuming other roles. This is the hard part, and the part worth testing hardest in a proof of concept.
- Find unused and excessive permissions. Compare granted permissions against activity logs to show what’s been used over a given period. Flag dormant identities, unused access keys, wildcard policies, admin-equivalent access and toxic combinations like the ability to modify your own policies.
- Right-size policies. Generate suggested least-privilege policies based on observed use, so the remediation isn’t “please go read 4,000 actions and decide.” The better tools let you push changes through infrastructure-as-code rather than editing the console.
- Detect anomalies. Watch for identities suddenly using permissions they’ve never used, access from unusual places, or new escalation paths appearing after a change.
Cloud providers have native features that cover parts of this. AWS IAM Access Analyzer and the IAM last-accessed data, and Google Cloud’s IAM recommender, are good examples. They’re worth turning on regardless. Dedicated CIEM is mostly about doing it across every account and every cloud at once, with effective-permission analysis on top.
CIEM vs. CSPM and CNAPP
These acronyms get tangled together, so here’s how I separate them.
| Main question | Focus | |
|---|---|---|
| CSPM (cloud security posture management) | Is this resource configured safely? | Misconfigurations: public buckets, open security groups, unencrypted storage |
| CIEM | What can this identity do, and should it? | Identities, permissions, trust relationships |
| CNAPP (cloud-native application protection platform) | What’s the overall risk in this cloud environment? | A bundle that typically includes CSPM, CIEM, workload protection and more |
CSPM and CIEM are most useful together. A publicly exposed instance is a configuration finding. A publicly exposed instance whose role can read every secret in the account is an incident waiting to happen, and you only see that by combining both views. That’s a big part of why most CNAPP vendors now include CIEM, and why many buyers will meet CIEM as a module rather than a standalone product.
How CIEM fits with IGA and PAM
This is the part I find most interesting, and the part most programs get wrong by keeping the tools in separate silos.
Identity governance (IGA) handles the lifecycle and accountability: joiners, movers and leavers, access requests and approvals, and access certifications. It’s good at “should this person have this role?” It’s historically weak at understanding what a cloud role actually grants. CIEM can feed IGA the context that makes certifications meaningful. Instead of asking a manager to approve “Prod-Engineer-Role,” you can tell them it carries admin-equivalent rights and, say, only a handful of those permissions were used in the last ninety days.
Privileged access management (PAM) controls how privileged access is used: vaulting, session control and, increasingly, elevation on demand. CIEM tells you which cloud entitlements are privileged in the first place, which is the input PAM needs.
Just-in-time access is where the two meet. CIEM shows that an engineer uses production write access twice a month. JIT lets you remove that standing access and grant it for an hour when there’s a reason. Done consistently, that’s how you make real progress toward zero standing privileges in the cloud, which is honestly more achievable there than on-premises because cloud roles were built to be assumed and dropped.
The practical upshot: CIEM finds the problem, IGA makes someone accountable for it, and PAM and JIT change how the access is used.
In practice: The handoff that works best is simple: CIEM flags an admin-equivalent role with little recent use, the owner certifies it in the next IGA campaign with that usage data on screen, and anything they keep moves behind JIT instead of staying standing.
How to start with CIEM
You don’t need to buy a platform on day one. Here’s the sequence I’d follow.
- Inventory your cloud estate. Every account, subscription and project, including the ones created by a team that’s since reorganized. You can’t analyze entitlements in an account you don’t know about.
- Turn on the native tools. Enable the providers’ access analysis and recommendation features and centralize the logs. It’s cheap, and it gives you a baseline.
- Kill the easy stuff. Long-lived access keys, local IAM users that should be federated, dormant identities, and identities with no owner. This usually removes a surprising amount of risk with little argument.
- Map the trust graph. Find every cross-account role and every third-party trust. Ask who owns each one and whether it’s still needed.
- Focus on admin-equivalent identities. Find every identity that can modify IAM, assume admin roles or reach production data, human or workload, and right-size those first. Pipelines will be near the top of the list.
- Evaluate CIEM tooling against your hardest problem. If you’re multi-cloud, test effective-permission analysis across clouds. If you live in infrastructure-as-code, test whether remediation can flow back into your templates. Use your messiest account for the proof of concept, not your cleanest.
- Wire it into governance. Feed findings into access reviews, set an owner for every non-human identity, and put elevation for sensitive roles behind JIT.
My advice: Step 3 usually produces the biggest early win. Removing long-lived access keys, dormant identities and unowned IAM users rarely needs a long debate, and it shrinks the attack surface before you’ve bought anything. Step 5 is where the most serious risk tends to sit, but it takes longer, so I’d start it in parallel rather than wait for the cleanup to finish.
The short answer
CIEM is how you find out what your cloud identities can really do and cut that back to what they need. It discovers human and workload identities, computes effective permissions across every policy layer, flags what’s unused or excessive, and helps you right-size it. It’s usually sold alongside CSPM inside a CNAPP, but it belongs just as much in your identity program, feeding IGA for accountability and PAM and JIT for control.
If you do one thing this quarter, find every identity in your cloud estate that can change IAM, and make sure each one has an owner and a reason. More on this area lives in the cloud security hub.