Why Identity-Centric Security Is Replacing Human-Centric IAM

For decades, identity and access management (IAM) has been built around people. Employees joined the organization, changed roles, and eventually left. Contractors required temporary access. Managers approved permissions. Identity governance programs were designed to answer a relatively straightforward question: Who should have access to what?

That model served organizations well because people represented the overwhelming majority of enterprise identities.

Today, they no longer do.

Modern enterprises are now responsible for governing an exploding ecosystem of service accounts, cloud workloads, APIs, machine identities, non-human identities, AI agents, and autonomous workflows. Every one of these identities can authenticate, receive permissions, interact with business systems, and create risk. In many organizations, they already outnumber human users.

At the same time, attackers have shifted their focus. Sophos recently reported that 71% of organizations experienced at least one identity-related security incident over the past year, with affected organizations averaging three incidents each. Identity has become one of the most targeted attack surfaces in the enterprise, reinforcing a reality security leaders can no longer ignore: protecting people alone is no longer enough. (Source: Sophos, State of Identity Security 2026)

The identity landscape has fundamentally changed. Identity security must change with it.

This is why the conversation is moving beyond human-centric IAM toward something much broader: identity-centric security, an approach some in the industry now call Identity-Centric IAM.

"Identity governance has never been about a specific identity type. It's about applying consistent governance principles regardless of what the identity represents. AI agents don't change that principle. They reinforce it." — Dor Renert, VP Product

IAM Was Built for a Different Era

Traditional IAM programs were designed around a workforce model.

Employees were the primary consumers of enterprise applications. HR systems acted as the authoritative source for user identities. Joiner, mover, and leaver processes drove provisioning and deprovisioning. Managers approved access requests, periodic certifications ensured permissions remained appropriate, and privileged accounts received additional oversight.

Those principles remain essential today. Identity governance, least privilege, lifecycle management, and user access reviews continue to form the foundation of every mature security program. They are also the foundation of Identity-Centric IAM: the same governance principles, extended to every identity an organization must manage.

What has changed is the environment those programs now operate within.

Organizations have adopted thousands of SaaS applications, moved workloads into multiple cloud providers, automated business processes, exposed APIs, and begun embedding AI into everyday operations. Each technological shift has introduced new identities that rarely fit neatly into traditional workforce-centric governance models.

A service account provisioning cloud infrastructure. An API connecting business applications. A machine identity authenticating to a database. An AI agent executing tasks across enterprise systems. None of these identities appear in an HR system, yet each requires access to critical business resources.

Identity governance has not become less important. It has become responsible for governing far more than people. That expanded scope is precisely what identity-centric security is built to address.

Identity Has Outgrown the Workforce

Identity has been evolving for years, even if many organizations haven't recognized it.

The first major expansion came with privileged accounts and contractors. Then came cloud infrastructure, SaaS applications, and service accounts. Organizations quickly realized they weren't simply managing users anymore. They were managing thousands of identities operating across increasingly distributed environments.

Now AI is accelerating that evolution once again, which is exactly why identity-centric security has become an urgent priority rather than a future consideration.

According to McKinsey's latest State of AI research, AI has moved beyond experimentation and is becoming embedded in core business operations across nearly every industry. In fact, 88% of organizations now use AI in at least one business function, up from 78% just a year earlier, signaling that AI has become operational rather than experimental. Organizations are no longer evaluating AI in isolated pilots. They're deploying AI into production environments where agents interact with business applications, retrieve sensitive information, and execute work on behalf of employees.

Every AI agent introduced into an environment becomes another identity requiring governance.

Unlike traditional applications, AI agents can make decisions, invoke tools, access enterprise systems, and perform actions using delegated permissions. That changes the conversation. Organizations aren't simply securing AI models. They're governing identities capable of acting across the enterprise.

We've seen this shift firsthand while working with enterprise identity teams.

One global work management software company initially partnered with Linx to strengthen governance across its workforce identities. As AI adoption accelerated internally, the conversation naturally evolved.

The challenge was no longer simply governing employees. It became understanding how AI agents fit into the organization's broader identity strategy.

The questions looked remarkably familiar.

• Who owns these agents?
• What permissions should they inherit?
• Who approves those permissions?
• How should access be reviewed over time?
• What happens when an agent is retired or no longer needed?

These are the exact questions Identity-Centric IAM is designed to answer, regardless of whether the identity belongs to a person or a piece of software.

Ultimately, the organization reached an important conclusion. AI agents shouldn't be governed differently from human identities. They should be governed alongside them using the same principles of ownership, visibility, lifecycle management, and least privilege.

These aren't AI questions. They're identity questions: the same questions at the heart of identity-centric security.

Leading Organizations Are Expanding Identity Governance, Not Replacing It

The organizations making the most progress in identity-centric security aren't replacing their IAM programs. They're building on them.

Identity governance, lifecycle management, user access reviews, and least privilege remain just as important today as they were a decade ago. What's changing is the scope of what those programs are expected to govern.

Rather than creating separate security strategies for every new technology, leading organizations are extending proven identity governance principles to every identity operating across the business. This is Identity-Centric IAM in practice: one governance model, applied everywhere identity exists. Whether an identity belongs to an employee, contractor, service account, API, cloud workload, or AI agent, the questions remain remarkably consistent.

The need for this shift has never been greater. According to Microsoft's Digital Defense Report, the company now observes more than 600 million identity attacks every day. As attackers increasingly target identities, credentials, and permissions instead of traditional network boundaries, organizations must think beyond protecting users alone and begin governing every identity capable of accessing enterprise resources. Many are also replacing standing access with just-in-time access, granting permissions only when needed and revoking them automatically once the task is complete. This continuous, right-sized approach to access is a hallmark of identity-centric security in practice.

• Who owns this identity?
• What systems can it access?
• Does it still require that access?
• Who reviews it?
• How is it monitored?
• When should that access be removed?

Those questions don't change because the identity isn't human. They become even more important.

One identity leader at a global financial services organization described the shift this way:

"The biggest shift for us wasn't adopting AI. It was realizing our governance model didn't need to change. We already knew how to govern identities. The challenge was recognizing that AI agents, service accounts, and non-human identities deserved the same ownership, accountability, and lifecycle management as every employee. Once we started thinking about every identity through the same lens, the path forward became much clearer." — CISO, Enterprise Financial Services Organization

That realization is becoming increasingly common. AI has accelerated the conversation, but it hasn't changed the underlying problem. Identity teams have always been responsible for governing access. Today, they simply have more identities to govern.

Identity-Centric Security Is the Next Evolution of IAM

Identity-centric security isn't about replacing IAM. It's about expanding it.

Traditional IAM remains foundational to every mature security program. Organizations still need to provision users, manage lifecycle events, review access, and enforce least privilege. These are the pillars of Identity Lifecycle Management: provisioning, review, and deprovisioning, applied consistently across every identity type. Those capabilities aren't going away. If anything, they're becoming more important.

What's changing is the definition of the identities those programs are expected to govern.

An identity-centric security strategy recognizes that every identity capable of accessing enterprise systems should be governed consistently, regardless of whether that identity belongs to an employee, contractor, service account, workload, or AI agent. In effect, it turns traditional IAM into Identity-Centric IAM: the same governance principles, applied to every identity, not just people.

At Linx, this shift has fundamentally shaped how we've built our platform.

We don't believe organizations should have one strategy for workforce identities, another for non-human identities, and yet another for AI agents. Identity governance should evolve alongside the enterprise itself, extending the same principles of visibility, ownership, lifecycle management, least privilege, and continuous governance across every identity.

That philosophy naturally extends to AI Access Control. Governing AI isn't fundamentally different from governing any other enterprise identity. Organizations still need to understand what an AI agent can access, who is accountable for that access, what actions it can perform, and how policies should be enforced over time. The difference is that AI operates at a speed and scale that traditional governance models were never designed to handle.

Rather than creating a separate governance model for AI, AI Access Control extends proven identity governance principles into AI-driven environments, allowing organizations to govern AI agents alongside human and non-human identities through one consistent strategy. It provides the visibility and policy enforcement needed to confidently adopt AI while maintaining the same governance standards organizations already expect across the rest of their identity ecosystem. That continuous visibility is the same discipline behind ISPM: mapping every identity, entitlement, and resource so risk is visible before it's exploited.

"The biggest misconception we hear is that AI requires a completely new governance model. It doesn't. AI agents are simply another identity operating inside the enterprise. The challenge isn't inventing new governance. It's extending the governance principles organizations already trust to every identity, including AI." — Niv Goldenberg, Co-Founder & CPO

The same philosophy extends beyond AI. Identity relationships, access posture, lifecycle management, and governance are all interconnected. They shouldn't be managed through disconnected tools or separate programs. They should be viewed as a single Identity-Centric IAM strategy that evolves alongside the business, regardless of how technology changes.

The Future of Identity Security Is Identity-Centric

The shift toward identity-centric security isn't being driven by AI alone.

Cloud adoption, SaaS expansion, non-human identities, autonomous workflows, and increasingly sophisticated identity-based attacks are all contributing to the same reality: organizations have more identities to govern than ever before, and those identities are becoming increasingly interconnected. It's the reason identity-centric security has moved from a nice-to-have to a board-level priority.

The companies that adapt won't be the ones constantly building new governance programs for every emerging technology. They'll be the ones that establish a strong identity foundation capable of evolving alongside the business.

Identity governance won't become less important as AI adoption accelerates.

It will become the foundation that allows organizations to confidently adopt whatever comes next.

At Linx, that's the future we've been building toward from the beginning. We believe identity governance should extend beyond employees to encompass every identity operating across the enterprise. This is the practical reality of Identity-Centric IAM: the same rigor applied to every identity, without exception. Whether the identity belongs to a person, a service account, an application, or an AI agent, the objective remains the same: provide complete visibility, establish clear ownership, enforce least privilege, and continuously govern access throughout its lifecycle.

Identity doesn't stop evolving.

Neither should identity security.

"Every major technology shift forces organizations to rethink security. The companies that thrive aren't the ones chasing every new trend. They're the ones building a strong foundation that can adapt as technology evolves. Identity has become that foundation." — Israel Duanis, CEO & Co-Founder

The future of identity security isn't about managing more identities. It's about governing every identity consistently, regardless of whether it belongs to a person, a workload, or an AI agent.

If you're looking to move beyond traditional, human-centric IAM and build an Identity-Centric IAM strategy that governs human, non-human, and AI identities through a unified platform, schedule a demo with us to see how we're helping organizations prepare for the next generation of enterprise identity.

Frequently Asked Questions

What is Identity-Centric IAM?

Identity-Centric IAM is an approach to identity and access management that governs every identity in an organization, including employees, contractors, service accounts, APIs, and AI agents, under the same principles of ownership, least privilege, and lifecycle management. Instead of treating human and non-human identities as separate problems, it applies one consistent governance model across all of them.

What is identity-centric security?

Identity-centric security is the broader security strategy that Identity-Centric IAM is built on. Rather than securing the network perimeter or treating people as the only identities worth protecting, it treats every identity, human or machine, as a potential point of risk that needs visibility, ownership, and continuous governance.

How is Identity-Centric IAM different from traditional IAM?

Traditional IAM was built around a workforce model, where HR systems, joiner-mover-leaver processes, and manager approvals determined who could access what. Identity-Centric IAM keeps those same governance principles but extends them to every identity capable of accessing enterprise systems, not just people.

Does Identity-Centric IAM cover AI agents and non-human identities?

Yes. AI agents, service accounts, and machine identities are governed under the same ownership, visibility, and lifecycle management standards as human identities. This is central to identity-centric security: an AI agent executing tasks across enterprise systems requires the same scrutiny as an employee with equivalent access.

Why is identity-centric security replacing human-centric IAM?

Non-human identities, including service accounts, cloud workloads, and AI agents, now outnumber human users in many organizations, and attackers increasingly target identity as the primary point of entry. Identity-centric security responds to that shift by governing every identity type consistently, rather than reserving governance for people alone.

Who is responsible for Identity-Centric IAM within an organization?

Ownership typically sits with the identity or security governance team, but Identity-Centric IAM works best when that team partners closely with the teams that actually create non-human identities, including engineering, DevOps, and whoever is deploying AI agents. Every identity needs a clear, accountable owner, whether it's an employee's manager or the engineering lead who provisioned a service account.

How does Identity-Centric IAM handle least privilege and standing access?

Identity-Centric IAM applies the same least-privilege standard to every identity type: access should be scoped to what's actually needed, reviewed regularly, and removed when it's no longer required. Many organizations pair this with just-in-time access, replacing standing, always-on permissions with time-bound access that's granted only when a task requires it.

Is Identity-Centric IAM the same as identity governance?

Identity-Centric IAM builds directly on identity governance rather than replacing it. Identity governance and administration (IGA) provides the underlying practices, ownership, certifications, access reviews, lifecycle management, while Identity-Centric IAM is the philosophy of applying those practices to every identity type instead of reserving them for the human workforce.

What tools support Identity-Centric IAM?

Most organizations already have the building blocks: an IGA platform, an identity security posture management (ISPM) tool for visibility, and some form of lifecycle automation. What's usually missing is a way to bring human, non-human, and AI identities into one consistent view instead of managing them in separate, disconnected tools. That unified visibility is the piece an Identity-Centric IAM platform is meant to provide.

How do organizations get started with Identity-Centric IAM?

Most organizations extend their existing identity governance program rather than building a new one. That means applying the same ownership, access review, and least-privilege practices already used for employees to service accounts, APIs, and AI agents, typically starting with the highest-risk or highest-volume identity types first.