What is an Identity Fabric, and where do you start?

What is an Identity Fabric, and where do you start?

An Identity Fabric connects the identity tools you already use, using open standards. Access then follows the same rules everywhere. This article covers what it is, how it works, how it handles AI agents and machine identities, and how to get started without replacing what already works.

An Identity Fabric is an architectural approach to Identity and Access Management (IAM). Instead of asking one platform to cover everything, you connect the identity services you already use (sign-in, multi-factor authentication, authorization, lifecycle, governance, and directories) so they work together with one shared policy model and one audit trail.

Most organizations are not starting from scratch. They have a directory, an HR system, a mix of SaaS and legacy applications, a few identity tools added over time, and a small team keeping it all running. An Identity Fabric helps those existing parts work more like one coordinated system, without replacing what already works.

Why are more organizations looking at an Identity Fabric?

Three things have changed at the same time.

The first is the environment itself. Most organizations now need to manage access across cloud services, on-premises systems, partner environments, and APIs, and each one usually has its own way of deciding who gets access.

The second is the number of identities. It’s no longer just employees logging in. Service accounts, API keys, workload credentials, and AI agents all access systems and carry real permissions, but most of them were never included in the joiner, mover, and leaver processes designed for employees.

The third is documentation. Regulations like NIS2 and DORA have turned access reviews into a regular task, and those reviews need clear records showing what was approved, who approved it, and when access was removed. 

What is an Identity Fabric?

An Identity Fabric is not a single product but a way of designing how identity services work together. Open standards connect the components, so access rules are defined in one place and applied the same way everywhere.

In practice, that gives you a single identity map covering people, machines, and partners, one policy model applied across applications, and one place to answer questions about who had access to what, and when. 

No single vendor sells you a complete Identity Fabric off the shelf. What vendors provide are the individual components, while you define the architecture, the policy model, and the order you roll it out in.

How an Identity Fabric works

Think of four threads running through your identity stack.

1. Identity data

A directory brings together profiles from HR, Entra ID or Active Directory, and partner or customer sources. Connectors keep the data in sync, attributes are mapped, and duplicate accounts are linked to one person.

Why it matters: every access decision starts with understanding who someone is and what they need access to. When data is incomplete, everything built on top of ut becomes less reliable. 

2. Policies

You set access rules once, using roles, attributes, and context like device, location, or time. From there, applications and API gateways can check with one central service for a decision and then apply it where it matters.

Why it matters: the same rule works everywhere, so when you make a change, it carries through across every system.

3. Workflows and events

When someone joins, changes roles, or leaves, automated workflows update access in near real time. They do this through standard interfaces like SCIM, which many systems use to share user account information.

Why it matters: access follows the person, which means fewer tickets and fewer forgotten accounts.

4. Visibility and evidence

Logins, access decisions, and provisioning actions all feed into one shared audit trail. Reviews draw from that same record, so you can clearly see how access was granted and how quickly it was removed.

Why it matters: audits become much easier because the information is already there, so the work shifts from collecting data to simply reviewing and reporting on it.

Identity Fabric vs. traditional IAM

Most IAM environments did not start with one master plan. They usually grew one tool at a time, with each system bringing its own policies and connectors. Over time, that can leave the same access rule defined in a few slightly different ways. The table below gives a simple side-by-side view of how traditional IAM compares with an Identity Fabric.

Topic
Traditional IAM
Identity Fabric
Scope
Defined by what each tool covers
A blueprint assembling multiple services
Policies
Configured per application
Decided centrally, enforced everywhere
Changes
Batch jobs and manual steps
Event-driven, near real time
Machine identities
Handled outside the main process
Managed in the same identity map
Audit evidence
Collected from several systems
Pulled from one shared record
Session control
Checked at login
Re-evaluated when risk changes
Adding capabilities
A new integration for each tool
Standards-based components fit the same model

Illustration of a person behind a screen representing a person researching identity fabric

 

AI agents and machine identities

Machine identities outnumbers human identities in most organizations, and AI agents add a new type that behaves differently from both. An agent can act on its own, act on behalf of a person, and interact with other systems as part of the same task.

That raises three questions a normal user account never had to answer. Who deployed it? What is it allowed to do? On whose behalf is it acting right now?

Organizations are starting to treat agents as governed identities, with a defined owner, a clear scope, and an audit trail, and they are replacing shared API keys with short-lived credentials. Standards bodies like NIST and the OpenID Foundation are building on familiar foundations such as OAuth, OpenID Connect, and SCIM rather than creating something entirely new.

What to do first

Start by identifying which service accounts, keys, and agents you have, assign each a named human owner, and include them in the same reviews as everyone else. An Identity Fabric gives you a clear place to manage that.

Where an Identity Fabric helps most

Consultants and partner access. External users get the access they need for the project, and that access can be removed when the project ends. Reviews also create clear evidence without relying on a manual chain of emails.

Hybrid environments. One policy model covers cloud and on-premises applications, so a rule change does not have to be repeated in five places.

Privileged access. Administrator and break-glass accounts follow the same policies and review cycles as everything else, with actions traceable to an owner.

APIs and workloads. Service accounts, integrations, and keys appear in the identity map, with credentials rotated automatically. This closes a common blind spot in CI/CD pipelines.

Customer and partner portals. One login across business and consumer services, with the same governance model applied to both.

A few considerations before starting an Identity Fabric project

An Identity Fabric can only work with the data it receives. If HR records are incomplete or job titles mean different things across departments, automation will carry that inconsistency forward faster than a manual process would. That is why it usually pays to clean up the source data early.

It is also worth remembering that the architecture does not make the decisions for you. Someone still has to agree what each role means and who should own access decisions in each application. The same is true for the number of tools in the environment. Consolidation is a separate decision, since an Identity Fabric can support a mixed and evolving toolset just as well as a more streamlined one. 

How to start a first Identity Fabric pilot

The first round does not have to be big. Three to five applications are usually enough to prove the model, and most teams get through it in a quarter.

1. Map what you already have. Start by listing what your current tools actually do, such as sign-in, provisioning, access requests, and reviews, and note which user groups each one supports. Gaps and overlaps often become clear quite quickly, and that gives you a useful starting point for future investment decisions.

2. Agree what the identity map covers. Decide early how you want to handle people who are not in the HR system, including consultants, contractors, and service accounts. It is a small decision up front, but it tends to hold up more lifecycle work than most technical issues if left unclear.

3. Write the policy model down. In most cases, one page is enough to capture the essentials: which roles exist, what each one gives access to, who approves it, and how long that access should last. It also helps to assign a clear owner for each application.

4. Pick the applications carefully. Start with ones that have a standards-based interface like SCIM or OpenID Connect, an owner you can easily work with, and a real access challenge worth solving. It is usually best to leave the most business-critical system for a later round.

5. Start with leavers before joiners. If you can remove access reliably when someone leaves, you reduce one of the biggest risks early on, and it is also one of the clearest improvements to show.

6. Measure the numbers before you begin. It helps to start with a few simple baseline metrics, such as how quickly a new hire gets first access, how long it takes to remove access after someone leaves, and how often review items are approved without proper scrutiny.