2026 IAM Trends: Identity Security in the Age of AI

In 2026, Identity and Access Management (IAM) is no longer just about deciding which employee can access which application. IAM is becoming the trust and control layer that connects people, devices, applications, workloads, APIs, and increasingly autonomous AI agents.

This shift is taking place as the cybersecurity landscape evolves rapidly. According to IBM’s 2026 Cost of a Data Breach Report, the global average cost of a data breach reached $4.99 million, a 12% year-over-year increase. The same research reports a 56% rise in AI-enabled attacks, with deepfake impersonation and AI-assisted malware playing a significant role in that growth.

Identity security remains at the center of this threat landscape. According to the Microsoft Digital Defense Report, password spray attacks account for 97% of observed identity attacks. The figure highlights that, even as attack techniques become more sophisticated, weak authentication mechanisms and compromised credentials remain effective entry points for attackers.

In 2026, IAM is no longer focused solely on the question, “Who can access what?” Organizations also need to continuously assess who is requesting access, whether that access is actually necessary, whether the user’s behavior can be trusted, and whether access should remain active as risk conditions change.

The following IAM trends are shaping how organizations answer these questions in 2026:

1. AI Agents and Non-Human Identities Are Becoming a Core IAM Priority

The scope of identity management is expanding rapidly in 2026. Organizations are no longer managing only employees, customers, and business partners. Service accounts, APIs, workloads, bots, and AI agents are now an important part of the identity landscape as well.

These non-human identities can connect to enterprise applications, run processes, and access sensitive data without requiring every action to be manually initiated by a user.

The rise of agentic AI makes this especially important from an IAM perspective. An AI agent may gather information, make API calls, execute workflows, interact with other agents, or act on behalf of a user. That means AI agents also need an identity, secure authentication mechanisms, clearly defined permissions, lifecycle controls, and traceability.

In a 2026 survey of 400 security and IT leaders, 70% of participating organizations reported that they were already using AI agents. Sixty percent said these agents could access sensitive data, while 45% reported that agents had previously accessed data they were not supposed to access.

This raises an important question for IAM teams:

How can an AI agent be given the access it needs to perform its task without granting excessive or permanent privileges?

The same core security principles applied to human identities also need to be extended to AI agents and other non-human identities. This includes enforcing least privilege, clearly defining identity ownership, limiting permissions by time or scope, managing the identity lifecycle, continuously monitoring activity, analyzing behavior, and quickly revoking access when risk changes.

In short, defining credentials for AI agents and other non-human identities is not enough. Organizations also need to control which resources these identities can access, under what conditions, and for how long.

2. Passwordless Authentication Is Moving from Innovation to a Practical Security Layer

Passwords remain one of the weakest points in digital identity.

Microsoft’s finding that 97% of observed identity attacks are password spray attacks shows that credential-related risk cannot be solved by stronger password policies alone.

As a result, organizations in 2026 are increasingly moving toward passwordless and phishing-resistant authentication. FIDO2-based methods and passkeys are among the most prominent examples of this shift.

The benefits of passwordless authentication go beyond security. For organizations, it can also help reduce:

• forgotten-password incidents,

• password reset requests,

• help desk workload.

 Unlike traditional passwords, FIDO2 does not require users to submit a reusable password that can be captured through phishing. This is designed to significantly reduce the risk of credential theft and reuse.

Organizations planning this transition can consider Securify Identity’s Passwordless Authentication and Multi-Factor Authentication (MFA) capabilities. Those who want to explore the technical foundation of passwordless authentication in more detail can also read our article, “Passwordless Authentication: The Future of Security.”

3. Authentication Is Becoming Continuous and Context-Aware

A successful sign-in should not always be evaluated only through basic credentials such as a username and password. The device, network, time, and conditions under which a user signs in can also be important factors in an access decision. For example, a user may be signing in from a previously unseen device, connecting from an unusual IP address, or requesting access at a time that falls outside their normal usage patterns. Signals like these help organizations assess risk more accurately during authentication.

Securify Identity’s Adaptive Access Control capability evaluates multiple contextual and behavioral signals at sign-in and helps shape access decisions according to the level of risk.

This assessment can take into account:

• device characteristics,

• IP and network anomalies,

• time-based anomalies,

• browser and platform information.

Based on the calculated risk level, the user may be granted access, asked to complete an additional authentication factor, or denied access.

The core idea can be summarized simply:

Low-risk sign-ins should remain as seamless as possible, while stronger verification steps are introduced as risk increases.

Instead of applying the same level of security to every user and every sign-in attempt, this creates a more dynamic authentication approach based on context and risk at the time of access.

4. Behavioral Biometrics Is Making Authentication Smarter

In identity security, what a user knows or possesses may not always be enough. How the user interacts with the system can provide an additional security signal during authentication.

This is where behavioral biometrics comes in. By analyzing behavioral characteristics such as typing rhythm and interaction patterns, it helps answer a key question:

Does this sign-in behavior match the user’s usual behavior?

In Securify Identity, behavioral biometrics can be used as an additional signal to support risk assessment at sign-in. Rather than acting as a standalone authentication method, it can be evaluated alongside adaptive access controls to help determine the risk level of a sign-in more accurately. For example, a noticeable change in a user’s typing rhythm may become a risk indicator that calls for additional verification when combined with other contextual signals.

Securify Identity has previously explored this approach in “Behavioral Biometrics and Risk-Based Adaptive Access Control: Enhancing Security for Modern Businesses” and has also contributed to academic research on the use of keystroke dynamics in contextual authentication.

As organizations look for ways to strengthen security without adding unnecessary friction to the user experience, additional risk signals such as behavioral biometrics are becoming increasingly important in 2026.

5. Identity Is Taking a More Central Role in Zero Trust

At the heart of Zero Trust is the principle that no user or access request should be trusted by default. Before access is granted, the identity must be verified and the user should be limited to the permissions they genuinely need.

This makes IAM one of the most important components of a Zero Trust architecture. IAM policies help control who the user is, which resource they are trying to access, and what level of authorization they should have for that access.

In this model, access decisions are made by evaluating several factors together:

• the user’s role and the permissions associated with that role,

• the level of access actually required under the principle of least privilege,

• the risk level of the access request.

  
  

This helps prevent excessive privileges and enables access decisions to be managed in a more controlled way.

In short, Zero Trust is not only about verifying who is signing in. It is about giving the right identity access to the right resource, and only to the extent that access is needed.

6. Identity Lifecycle Management Is Becoming Essential

One of the most common identity risks is that old access rights remain in place even after a user’s role or responsibilities have changed.

Employees join organizations, move between roles or departments, take on temporary responsibilities, and eventually leave. When contractors and third-party users are added to the picture, keeping access accurate and up to date becomes even more difficult. When these changes are tracked manually, organizations can end up with accumulated privileges, outdated access, or accounts that remain active even though they should no longer be used.

That is why automated identity lifecycle management remains a major IAM priority in 2026.

With effective lifecycle management, every relevant change in a user’s status should be reflected in their access rights. This makes it possible to:

• grant new employees the access they need quickly,

• review and update permissions when roles or departments change,

• remove access that is no longer required,

• expire temporary permissions at the end of a defined period,

• revoke access promptly when users leave the organization.

  
  

Securify Identity’s Lifecycle Management capabilities support a more centralized, controlled, and automated approach to these processes. This helps keep access aligned with each user’s current role and needs while reducing the manual workload for IT teams.

The underlying principle is straightforward:

When a user’s role or status changes, their access rights should change with it. Permissions should not accumulate unnecessarily over time and should be updated at the right moment.

7. AI Is Creating Both New Risks and New Security Opportunities for IAM

AI is influencing identity security in two different ways.

On one side, attackers can use AI to carry out phishing, impersonation, social engineering, malware development, and reconnaissance faster and at greater scale. According to IBM’s 2026 data breach research, AI-enabled attacks increased by 56%.

On the other side, AI and advanced analytics can help IAM systems make better sense of large volumes of identity and access data. This makes it easier to identify risks, relationships, and unusual access patterns that may be difficult to detect through manual review.

AI-assisted IAM capabilities can be used for areas such as:

• scoring access risk,

• analyzing behavior,

• examining relationships between users, roles, and permissions,

• improving access visibility.

Securify Identity’s VISEE capabilities also support risk-focused analysis of identity data by making relationships between users, roles, permissions, and systems more visible.

In short, AI is creating new analytics and visibility capabilities that can strengthen identity security, while also introducing new identities and access risks that organizations need to manage. This makes it increasingly important to address AI security and IAM strategy together.

8. Integrated IAM Platforms Are Gaining Ground

Identity and access management requirements are becoming more comprehensive. MFA, SSO, passwordless authentication, lifecycle management, authorization, behavioral analytics, and compliance increasingly need to work as connected parts of the same identity environment.

Managing these processes through separate tools can increase operational complexity and make it harder to see the identity and access landscape as a whole. When information about who a user is, what permissions they have, where those permissions came from, and which systems they can access is scattered across different tools, understanding and managing risk becomes more difficult.

For this reason, integrated approaches that bring different IAM capabilities together on a common platform are becoming increasingly important in 2026.

Securify Identity brings core IAM capabilities such as MFA, SSO, access management, identity governance, and lifecycle management together on a single platform. VISEE adds an identity visibility and intelligence layer, making relationships between users, roles, permissions, and systems easier to understand. This helps organizations analyze direct and indirect access, complex entitlement relationships, and risky access points more effectively.

The real value of an integrated IAM approach is not simply using fewer tools. It is bringing identity data and processes into a common framework so organizations can see more clearly who has access to what, through which permissions, and under what conditions, and manage that access more consistently.

2026 IAM Trends at a Glance

What Should Organizations Prioritize in Their 2026 IAM Strategy?

Every organization’s IAM priorities will vary depending on its existing architecture, risk profile, user population, applications, regulatory requirements, and IAM maturity. Still, several common priorities stand out in 2026.

The first step should be to establish visibility across both human and non-human identities and understand which systems, applications, and data those identities can access.

Another important priority is reducing dependence on passwords. Where appropriate, organizations can lower credential-related risk by adopting phishing-resistant, passwordless methods such as FIDO2 and passkeys.

Authentication decisions can also take contextual risk signals into account, including device, network, time, and behavior, rather than relying only on usernames and passwords. This allows organizations to preserve a smooth experience for low-risk sign-ins while introducing additional verification or blocking access when risk increases.

Identity lifecycle processes should also be automated as much as possible. Reflecting changes such as onboarding, role changes, and offboarding in access rights at the right time helps prevent unnecessary privileges from accumulating.

A modern IAM strategy can be summarized through a few core principles:

Make every identity visible. Grant only the access that is needed. Use strong authentication. Evaluate risk signals. Automate the identity lifecycle. Take action when access becomes risky.

Conclusion

The IAM trends shaping 2026 show that organizations are taking a broader view of identity and access management.

Identity is no longer just an employee account and a password. Alongside users, devices, service accounts, APIs, workloads, automated processes, and AI agents are now part of the identity ecosystem that organizations need to manage.

Strong authentication alone, however, is not enough. Organizations also need visibility into identities, appropriate authorization, contextual and behavioral risk assessment, and effective identity lifecycle management. For this reason, an IAM roadmap should not focus only on adding a new authentication method.

The broader goal should be to build an identity and access framework that can understand who or what is accessing each resource, what permissions they hold, and whether that access remains appropriate under current conditions.

Securify Identity brings IAM capabilities including MFA, SSO, passwordless authentication, adaptive access control, identity governance, and lifecycle management together on an integrated platform. VISEE adds greater visibility into identity and access relationships and supports the analysis of risky access.

At the core of a strong IAM strategy in 2026 is the ability to give the right identity the right access while keeping that access visible, controlled, and manageable.

Explore the Securify Identity IAM Platform to see how modern identity and access management capabilities can support your organization’s security strategy.

Frequently Asked Questions

How is AI changing Identity and Access Management?

One of the most significant IAM trends in 2026 is the expansion of identity management beyond human users. Because AI agents, service accounts, APIs, applications, and workloads can also access applications and data, they need to be included in authentication, authorization, lifecycle management, and audit processes. Modern IAM strategies therefore need to cover both human and non-human identities.

Is passwordless authentication important in 2026?

Yes. Passwords remain a major target for attackers, making passwordless and phishing-resistant authentication increasingly important. FIDO2- and passkey-based approaches can reduce reliance on reusable shared secrets while improving both security and user experience.

Why do non-human identities create security risk?

Non-human identities can include service accounts, APIs, workloads, bots, devices, and AI agents. These identities may have access to enterprise applications and data and, in some cases, hold highly privileged permissions. Without proper controls around ownership, lifecycle, least privilege, and visibility, unnecessary or unmanaged access can emerge.

What role does behavioral biometrics play in IAM?

Behavioral biometrics adds behavioral characteristics, such as typing rhythm and interaction patterns, as an additional risk signal in the authentication process. These signals can be evaluated alongside contextual information such as device, IP address, network, or time to help determine the risk level of a sign-in.

When used together with adaptive access controls, behavioral biometrics can support a more accurate assessment of risky sign-ins.

What is the relationship between Zero Trust and IAM?

In a Zero Trust model, no user or access request is trusted by default. Before access is granted, the identity must be verified, the user’s permissions must be checked, and access should be limited to only the resources the user needs.

IAM supports the identity layer of Zero Trust through authentication, authorization, role and entitlement management, least privilege, and risk-based access controls.