Top 9 Identity & Access Management (IAM) Tools for 2026

We’re going to discuss the Top 9 Identity and Access Management (IAM) tools of 2026. An IAM tool is a framework or software solution that helps manage developers' and users' identities and control user access to resources within an organization. Identity verification, directory services, authorization mechanisms, and logging capabilities form the backbone of robust security frameworks. IAM tools ensure precise identity verification through advanced authentication methods, manage user information and organizational structures via comprehensive directory services, and enforce precise access controls through refined authorization policies. Additionally, they maintain detailed logs of all IAM-related activities, providing an essential audit trail for security monitoring and compliance.

In 2026, the landscape of Identity and Access Management (IAM) tools is evolving rapidly, blending cutting-edge security features with user-centric designs and seamless integration capabilities. These tools' core are advanced authentication methods, comprehensive directory services, precise authorization policies, and detailed activity logs - elements crucial for safeguarding digital identities and managing access within an organization's IT infrastructure.

For developers implementing Cerbos, choosing the right IAM tool is more than just a strategic decision; it's about enhancing security frameworks to manage and control access efficiently. Many of our users are often in the process of selecting an IAM solution that complements Cerbos, seeking advice on integrating Cerbos with their existing or prospective IAM systems. Here's what we generally tell them: Cerbos is designed to work hand in hand with IAM tools, adding an extra layer of fine-grained, context-aware access control that bolsters your organization's security and operational efficiency. Whether you're looking to manage access to tens of thousands of servers, the synergy between Cerbos and a robust IAM tool can significantly strengthen your defense against cyber threats and streamline access management processes. Integrating Cerbos with your IAM solution optimizes your security posture and future-proofs your access management strategy against digital complexities. This strategic combination ensures that your business is equipped for secure, efficient, and compliant operations, ready to face the challenges and opportunities of the emerging integrated world.

Explore our IAM Security checklist for 2026: Confirm where your IAM posture stands today, identify the gaps, and build a plan to close them.

IAM tools are essential for enhancing security, streamlining access management processes, and ensuring compliance in organizations.

IAM tools ask three critical security questions:

1. Who is allowed access? (Identity) Each user’s identity is verified before granting them access to an account.
2. Which account should have access to what? (Access) Once the verified user is granted access, the system ensures each user has the correct privileges within the system for their needs.
3. How are they using that access? (Access) The IAM system then monitors user activities to identify any access issues or detect potential misuse of privileges by the user or by bad actors.

Selection Criteria

Choosing the perfect Identity and Access Management (IAM) tool is quite the task, especially when you've got a bunch of specific needs and scenarios to consider. Let's break it down.

For professionals in the finance or healthcare sectors, where regulations are tighter than a drum, it's all about compliance and auditing. You've got to have an IAM tool that's up to snuff with GDPR, HIPAA, or SOX. This means robust audit trails, top-notch reporting, and the ability to set access controls precisely. And let's remember to beef up security with things like multi-factor authentication, biometrics, and risk-based authentication to keep all that sensitive data under lock and key.

If you're dealing with an ocean of users, scalability is your best friend. Your IAM tool must handle the crowds without breaking a sweat, ensuring smooth sailing during those peak times. To keep things running smoothly, self-service features are a godsend, letting users handle their passwords and access dramas, which is a win-win for everyone.

On the flip side, if you're a smaller outfit with big security needs, it's all about getting granular with access controls and not skimping on the security features. Think adaptive authentication and continuous monitoring to keep those sneaky threats at bay.

Life's a breeze for those managing a global or scattered team with Single Sign-On (SSO) and federated identity management. These are lifesavers for keeping user experiences smooth across the board, no matter where your team is or what they're accessing. And when it comes to juggling identities across different domains and platforms, having a tool that can keep up is non-negotiable.

Hybrid IT setups, with their mix of on-premises and cloud environments, need an IAM tool to bridge the gap seamlessly, ensuring access policies are consistent no matter where your resources live. For cloud enthusiasts, having cloud-native features is like having the right tool for the job, ensuring everything integrates just right.

Lastly, for those navigating the complex web of user roles and hierarchies, an IAM tool that's flexible with role-based access control can make life much easier. For an extra layer of finesse, attribute-based access control lets you make decisions based on a rich tapestry of user, resource, and environmental attributes.

After carefully assessing several important aspects, we selected the best IAM tools for 2026.

For teams operating in zero trust or high-compliance environments, time-bound and just-in-time access is becoming a critical evaluation criterion. Rather than granting standing privileges that persist indefinitely, modern security teams expect IAM and authorization systems to support ephemeral entitlements that expire automatically after a set duration. This reduces the attack surface significantly. If credentials are compromised, the window of exposure is limited. When evaluating IAM tools, consider how well they support temporary access grants, automated de-provisioning, and integration with authorization layers that can enforce time-based conditions on every access decision.

1. IBM Security Identity and Access Assurance

IBM Security Identity and Access Assurance provides integrated identity and access management across cloud and on-premises environments. It facilitates compliance reporting and threat intelligence by actively monitoring user activities and securing sensitive data. The tool is designed to enhance user experience by operating seamlessly within organizational workflows, and it offers robust features for protecting privileged accounts, including advanced password security.

However, the comprehensive nature of the solution can lead to complexities in deployment and management, which may pose challenges for organizations without a dedicated IT security team. Additionally, while the tool aims to provide a holistic IAM solution through its expanded capabilities in identity governance and privileged access management, this breadth can increase the learning curve and resource requirements for effective utilization.

At A Glance

Pros:

• Comprehensive Coverage: Combines user provisioning, role management, and compliance controls in one package, offering a holistic approach to IAM.
• Advanced Analytics: Leverages AI and machine learning for real-time threat detection and adaptive access decisions, enhancing security posture.
• Strong Integration: Seamlessly integrates with a wide range of enterprise applications and systems, facilitating a unified IAM framework.

Cons:

• Complexity: The comprehensive nature of the solution might introduce complexity in deployment and management, particularly for organizations without a dedicated IT security team.
• Cost: As a robust and feature-rich solution, the total ownership cost might be higher than simpler IAM tools, potentially making it less accessible for smaller organizations.

IBM Security Identity and Access Assurance with Cerbos

IBM's IAM suite offers robust identity governance and administration. By integrating Cerbos, organizations can leverage its policy-as-code model to define fine-grained access controls, further enhancing IBM's capabilities. Cerbos' low-latency checks and stateless operation mean it scales effortlessly with IBM's suite, ensuring consistent policy enforcement across different services without impacting performance.

Conceptual Integration Steps:

User Authentication with IBM Security Identity and Access Assurance: The user logs in through an interface that uses IBM Security Identity and Access Assurance. IBM's tool authenticates the user and establishes their session.

Retrieve User Identity and Context: After authentication, the application retrieves the user's identity and any relevant context or roles assigned by IBM's IAM tool. This might involve API calls to IBM IAM or extracting information from a session token.

Set Up Cerbos Authorization Check: The application uses the Cerbos client to prepare for an authorization check, defining the Principal with the user's identity and roles, and the Resource with details about the object the user is trying to access.

Perform Authorization Check with Cerbos: The application sends a request to Cerbos to determine if the authenticated user is authorized to perform the desired action on the resource, based on the policies defined in Cerbos.

Conceptual Python Code Example:

from cerbos.sdk.client import CerbosClient
from cerbos.sdk.model import Principal, Resource, CheckResourceRequest

This function is conceptual and represents retrieving user identity and roles from IBM's IAM tool post-authentication

def get_user_identity_and_roles():
    # Implement the logic to retrieve the authenticated user's identity and roles
    # This might involve API calls to IBM IAM or decoding a session token
    user_identity = "john_doe"  # Example user identity
    roles = ["manager"]  # Example roles assigned to the user
    return user_identity, roles

Initialize the Cerbos client cerbos_client = CerbosClient("http://localhost:3592")

Retrieve the authenticated user's identity and roles from IBM's IAM tool user_identity, user_roles = get_user_identity_and_roles()

Define the principal for Cerbos with the user's identity and roles principal = Principal(user_identity, roles=user_roles)

Define the resource and action the user wants to perform resource = Resource("document", "doc123", attr={"confidential": True}) action = "read" # The action the user wants to perform

Create a request for Cerbos to check if the user is authorized to perform the action request = CheckResourceRequest(principal, resource, action=action)

Use Cerbos to check the authorization result = cerbos_client.check_resource(request)

Decision based on Cerbos' response

if result.is_allowed:
    print("Access granted by Cerbos.")
else:
    print("Access denied by Cerbos.")

2. Microsoft Entra ID

Microsoft Azure Active Directory, rebranded as Microsoft Entra ID, is a cloud-based identity and access management service provided by Microsoft. It offers single sign-on (SSO) and multi-factor authentication (MFA) capabilities, facilitating secure and convenient access to cloud applications.

The service integrates well with Microsoft's ecosystem and various third-party applications, making it a suitable option for enterprises looking for a unified IAM solution. Its cloud-native architecture is designed for high availability and resilience, aiming to maintain service continuity even during disruptions.

However, Entra ID's reliance on other Microsoft products may limit its appeal for organizations with diverse IT environments not centered around Microsoft technologies. Additionally, it lacks support for traditional Active Directory features such as organizational units and group policy objects, which could pose challenges for organizations dependent on these for user and device management.

At A Glance

Pros:

• Entra ID operates as a cloud service, eliminating the need for local infrastructure and reducing associated costs and maintenance efforts.
• It supports Multi-factor Authentication (MFA) and Single Sign-On (SSO), enhancing security and user convenience.
• Entra ID efficiently manages user and computer access and includes mobile device management (MDM) capabilities.
• Being part of the Microsoft stack, it integrates seamlessly with other Microsoft products, providing a cohesive environment for users​​.

Cons:

• The utility of Entra ID is maximized when used in conjunction with other Microsoft products, which might limit its appeal to users outside the Microsoft ecosystem.
• Unlike traditional Active Directory, Azure AD doesn't support organizational units and group policy objects, which could be a limitation for organizations that rely on these features for managing users and devices.
• The structure of Entra ID is flat compared to traditional hierarchical models, which might affect the organization and management of large, complex networks.
• The absence of domain controllers and domain services in Azure AD might require adjustments in how identity services are managed and authenticated within an organization​​.

In contrast to traditional Active Directory, which focuses on local authentication and managing user access to on-premises resources, Entra ID is a cloud-based identity and access management service. This distinction makes Entra ID more suitable for managing access to a wide range of internal and external services in a cloud environment.

Microsoft Entra ID and Cerbos

Incorporating Cerbos with Entra ID into Microsoft systems allows for implementing complex access control scenarios beyond Azure's built-in role-based access control (RBAC) system. This integration enables dynamic authorization policies that respond to changing business requirements, and all are managed through Cerbos' intuitive policy language and GitOps workflow.

Prerequisites:

• Entra ID Setup: Ensure your Microsoft Entra environment is configured with users and groups.

• Cerbos Instance: Have a Cerbos instance running and accessible from your application, with policies defined for your resources and actions.

• Python Libraries: Make sure the necessary Python libraries are installed. You might need msal for Microsoft Authentication Library and cerbos-sdk for Cerbos. Install them using pip if you haven't already:

pip install msal cerbos-sdk

Python Code Example:

import msal
from cerbos.sdk.client import CerbosClient
from cerbos.sdk.model import Principal, Resource, CheckResourceRequest

Azure AD app registration details

CLIENT_ID = 'your-azure-ad-client-id'
TENANT_ID = 'your-azure-ad-tenant-id'
CLIENT_SECRET = 'your-azure-ad-client-secret'
AUTHORITY = f'https://login.microsoftonline.com/{TENANT_ID}'
SCOPES = ['https://graph.microsoft.com/.default']

User details USER_EMAIL = 'user@example.com'

Initialize MSAL Confidential Client

confidential_client = msal.ConfidentialClientApplication(
    CLIENT_ID, authority=AUTHORITY,
    client_credential=CLIENT_SECRET
)

Acquire Token token_response = confidential_client.acquire_token_for_client(scopes=SCOPES)

Call Microsoft Graph API to get user's group memberships

graph_api_url = 'https://graph.microsoft.com/v1.0/users/{}/memberOf'.format(USER_EMAIL)
graph_response = confidential_client.acquire_token_on_behalf_of(
    token_response['access_token'], scopes=SCOPES, user_assertion=USER_EMAIL
)
groups = [group['displayName'] for group in graph_response.get('value', []) if group['@odata.type'] == '#microsoft.graph.group']

Initialize the Cerbos client cerbos_client = CerbosClient("http://localhost:3592")

Define the user (Principal) for Cerbos with groups from Azure AD as roles principal = Principal(USER_EMAIL, roles=groups)

Define the resource and action the user wants to perform

resource = Resource("document", "doc123", attr={"confidentiality": "high"})
action = "read"  # The action the user wants to perform on the resource

Create a request for Cerbos to check if the user has permission to perform the action request = CheckResourceRequest(principal, resource, action=action)

Use Cerbos to check the permission result = cerbos_client.check_resource(request)

Decision based on Cerbos' response

if result.is_allowed:
    print("Access granted by Cerbos.")
else:
    print("Access denied by Cerbos.")

Notes:

• Azure AD Configuration: Replace 'your-azure-ad-client-id', 'your-azure-ad-tenant-id', and 'your-azure-ad-client-secret' with your actual Azure AD app registration details.
• Token Acquisition: This example uses client credentials flow for simplicity. Depending on your app's requirements, you may need to use a different authentication flow.
• Graph API Call: The Graph API call here is simplified and may need adjustments based on your Azure AD setup. Specifically, the memberOf endpoint might require pagination handling for users with many group memberships.
• Cerbos Policies: Ensure your Cerbos instance has policies defined that correspond to the resources and actions used in this example, considering the group memberships from Azure AD as roles.

3. Ping Identity

Ping Identity offers IAM solutions that address modern security challenges and embrace new security models such as Zero Trust and passwordless authentication. Their products are designed to facilitate secure and seamless digital interactions, supporting a wide range of single sign-on (SSO) requirements for various applications, devices, and user scenarios. This includes providing secure access from both mobile devices and traditional desktop environments.

The solutions are scalable and include features like automated user provisioning and compatibility with standard identity protocols, which can simplify user management processes. Ping Identity is also moving towards eliminating reliance on traditional password-based security, advocating for more secure and user-friendly authentication methods.

However, the transition to advanced security models like Zero Trust and passwordless systems may require significant changes to existing IT infrastructure and processes, which could pose implementation challenges for some organizations. Additionally, the breadth of features and the shift towards newer authentication methods may necessitate a learning curve for IT teams, potentially impacting the initial adoption phase.

At A Glance

Pros:

• The platform is known for its reliable and efficient login process, which includes a third layer of authentication, enhancing security.
• It offers high ratings for ID Management Single-Sign-On (SSO) and Multi-Factor Authentication (MFA), indicating strong performance in these critical areas.
• The solution is adaptable to a range of IT environments, designed for both on-premises and cloud deployments, providing centralized control to balance security and convenience.

Cons:

• Some users have mentioned the need for improvement in session management, suggesting that the platform could offer more control over session timeout settings to enhance the user experience.
• The interface aesthetics and occasional delays in the authentication process were noted as areas that could be enhanced.
• While the platform's focus on security is commendable, it's been pointed out that pairing with older phones and authorizing new devices can sometimes be challenging, potentially impacting user experience.

Overall, Ping Identity's solutions appear well-regarded in the industry, especially for organizations looking for robust and flexible identity management systems. The feedback suggests that while there are areas for improvement, the platform's strengths in authentication, user management, and adaptability make it a strong contender in the IAM space.

Ping Identity Enhanced by Cerbos

Integrating Cerbos with Ping Identity can extend its capabilities by adding more nuanced, context-aware authorization policies. This allows for the enforcement of granular access controls based on user attributes, environmental conditions, and resource characteristics, making the overall IAM framework more adaptable and secure.

Prerequisites:

• Ping Identity Setup: Ensure your Ping Identity environment is configured with users and roles.
• Cerbos Instance: Have a Cerbos instance running and accessible from your application, with appropriate policies for your resources and actions.
• Python Libraries: Make sure you have installed necessary libraries for interacting with Ping Identity and Cerbos. This might include libraries like requests for API calls and cerbos-sdk for Cerbos. If not already installed, you can add them using pip:

pip install requests cerbos-sdk

Python Code Example:

python
import requests
from cerbos.sdk.client import CerbosClient
from cerbos.sdk.model import Principal, Resource, CheckResourceRequest

Ping Identity details

PING_IDENTITY_API_ENDPOINT = 'https:// your-ping-identity-server/api'
PING_IDENTITY_API_KEY = 'your-ping-identity-api-key'
USER_ID = 'user@example.com'

Function to get user roles from Ping Identity

def get_user_roles_from_ping(user_id):
    headers = {'Authorization': f'Bearer {PING_IDENTITY_API_KEY}'}
    response = requests.get(f'{PING_IDENTITY_API_ENDPOINT}/users/{user_id}/roles', headers=headers)
    if response.status_code == 200:
        return [role['name'] for role in response.json()['roles']]
    else:
        return []

Get user roles user_roles = get_user_roles_from_ping(USER_ID)

Initialize the Cerbos client cerbos_client = CerbosClient("http://localhost:3592")

Define the user (Principal) for Cerbos with roles obtained from Ping Identity principal = Principal(USER_ID, roles=user_roles)

Define the resource and action the user wants to perform

resource = Resource("file", "file123", attr={"sensitivity": "high"})
action = "access"  # The action the user wants to perform on the resource

Create a request for Cerbos to check if the user has permission to perform the action request = CheckResourceRequest(principal, resource, action=action)

Use Cerbos to check the permission result = cerbos_client.check_resource(request)

Decision based on Cerbos' response

if result.is_allowed:
    print("Access granted by Cerbos.")
else:
    print("Access denied by Cerbos.")

Notes:

• Ping Identity Configuration: Replace 'https://your-ping-identity-server/api' and 'your-ping-identity-api-key' with your actual Ping Identity server endpoint and API key.
• User Roles: The get_user_roles_from_ping function is a simplified example of calling the Ping Identity API to get a user's roles. Depending on your Ping Identity setup, you might need to adjust the API endpoint, authentication method, and data parsing.
• Cerbos Policies: Ensure your Cerbos instance has policies defined that correspond to the resources ("file") and actions ("access") used in this example, considering the roles obtained from Ping Identity.

4. Google Cloud IAM

Google Cloud IAM stands as a vital component for managing access within the Google Cloud Platform. Its focus is ensuring that resources are accessible solely to verified and authorized users. Their policies are founded on the “least privilege principle,” allowing for granular control over access based on users' roles. This is achieved through a mix of predefined and customizable roles within a hierarchical resource management framework, ensuring consistent policy application.

Google Cloud IAM enhances security with service accounts for server-to-server interactions within GCP projects. This includes the management of group memberships within projects, allowing for collective access control settings that streamline permissions for users who share common responsibilities. The addition of conditional role bindings in IAM further refines access control, adapting permissions in response to specific scenarios for dynamic, context-aware security measures. These features make Google Cloud IAM an indispensable tool for organizations leveraging GCP, safeguarding digital resources while optimizing operational efficiency.

At A Glance

Pros:

• Principle of Least Privilege: Google Cloud IAM adheres to this principle, ensuring users have only the access they need, which enhances security against unauthorized users​​.
• Granular Access: It allows for detailed access control to specific GCP services, enabling tailored access needs​​.
• Integration and Updates: Seamlessly integrates with Google Cloud services and automatically updates with new permissions and features, keeping the system current without manual intervention​​.

Cons:

• Role Volume: Managing a large number of roles can be challenging, making it difficult to delegate permissions effectively​​.
• Complex Role Definitions: Some roles might include unrelated permissions, complicating the adherence to the least privilege principle​​.
• Custom Role Limitations: While custom roles offer tailored access, they can be complex to set up and are limited to the project or organization they were created in, not automatically updating like predefined roles​​.

These insights underscore Google Cloud IAM's capability to provide secure, granular access control, albeit with challenges in role management and custom role flexibility.

Google Cloud IAM with Cerbos

Google Cloud IAM provides fine-grained access control to resources on Google Cloud. By integrating Cerbos, organizations can define more complex authorization logic that goes beyond predefined roles and permissions. Cerbos' attribute-based access control (ABAC) complements Google Cloud IAM by allowing policies to adapt in real-time to the context of each access request, providing a more flexible and secure environment.

Prerequisites:

• Google Cloud SDK: Ensure the Google Cloud SDK is installed and configured for your project.
• Cerbos: Have a Cerbos instance running, accessible from your application, and configured with appropriate policies for your resources and actions.
• Python Libraries: Make sure you have google-cloud-iam and cerbos-sdk Python libraries installed. If not, you can install them using pip:

pip install google-cloud-iam cerbos-sdk

Python Code Example:

from google.oauth2 import service_account
from google.cloud import iam
from cerbos.sdk.client import CerbosClient
from cerbos.sdk.model import Principal, Resource, CheckResourceRequest

Google Cloud IAM setup

credentials = service_account.Credentials.from_service_account_file(
    'path/to/your/service-account-file.json'
)
iam_client = iam.IAMClient(credentials=credentials)

Assume we have a Google Cloud user's email user_email = "user@example.com"

Get the IAM policy for a project to determine roles (simplified example)

project_id = "your-google-cloud-project-id"
resource_name = f"projects/{project_id}"
policy = iam_client.get_iam_policy(resource=resource_name)

Extract roles for the user (this is a simplified approach)

roles = []
for binding in policy.bindings:
    if user_email in binding.members:
        roles.append(binding.role)

Initialize the Cerbos client cerbos_client = CerbosClient("http://localhost:3592")

Define the user (Principal) for Cerbos with roles extracted from Google Cloud IAM principal = Principal(user_email, roles=roles)

Define the resource and action the user wants to perform

resource = Resource("project", project_id, attr={"confidentiality": "high"})
action = "deploy"  # The action the user wants to perform on the resource

Create a request for Cerbos to check if the user has permission to perform the action request = CheckResourceRequest(principal, resource, action=action)

Use Cerbos to check the permission result = cerbos_client.check_resource(request)

Decision based on Cerbos' response

if result.is_allowed:
    print("Access granted by Cerbos.")
else:
    print("Access denied by Cerbos.")

5. ManageEngine ADManager Plus

ManageEngine ADManager Plus is an Active Directory management tool designed to facilitate various administrative tasks across AD, Exchange, Teams, Google Workspace, and Microsoft 365. It supports bulk user provisioning and workflow automation, which can help reduce manual efforts and potential errors associated with user management. The tool offers over 150 customizable reports that provide insights into AD activities, which can be beneficial for ensuring compliance with regulations like GDPR and SOX. Features such as Exchange Server mailbox migrations, dynamic distribution group setups, and AD auditing capabilities contribute to its effectiveness in managing complex AD environments.

However, the comprehensive nature of ADManager Plus might introduce complexity, making it overwhelming for new users or small IT teams without dedicated AD specialists. Additionally, while the tool provides extensive customization options, this flexibility can sometimes lead to a steep learning curve, requiring significant time investment to leverage all available features fully.

At A Glance

Pros:

• Enhanced Role-Based Access Compliance: Ensures access permissions are granted according to users' roles within the organization, adhering to the principle of least privilege.
• Streamlined Administrative Tasks: Automates routine tasks such as user provisioning and de-provisioning, password resets, and group management, freeing up valuable time for IT staff.
• Customizable Solutions: Offers flexible customization options to tailor the tool to specific organizational needs and workflows.
• Automation of Repetitive Tasks: Reduces manual intervention by automating repetitive and time-consuming administrative tasks, enhancing efficiency.
• Integration Capabilities: Seamlessly integrates with other tools and applications within the IT ecosystem, providing a unified management solution.
• User-Friendly Interface: Designed with a user-friendly interface that simplifies navigation and operation, making it accessible for administrators with varying levels of expertise.

Cons:

• Limited API Integrations: May lack extensive API support for seamless integration with various HR tools and other enterprise systems.
• Integration with Other Products: Could benefit from more readily available integrations with other products within the ManageEngine suite and beyond for a more cohesive ecosystem.
• Optimization for Mobile Devices: The user interface may not be fully optimized for tablet and mobile use, potentially affecting usability on these devices.
• Feature Efficiency: Certain features, such as bulk email ID creation, might not be as efficient as expected, impacting productivity.

ManageEngine ADManager Plus and Cerbos

ManageEngine ADManager Plus simplifies Active Directory management and reporting. Integrating Cerbos introduces advanced authorization capabilities, allowing for dynamic access control policies based on user roles, attributes, and other contextual information. This integration helps in automating and streamlining access decisions, ensuring that users have the right access at the right time, in line with security and compliance requirements.

Prerequisites:

• ADManager Plus Setup: Ensure your ADManager Plus environment is configured with users and their roles.
• Cerbos Instance: Have a Cerbos instance running and accessible from your application, with policies defined for your resources and actions.
• Python Libraries: Make sure you have installed necessary libraries for interacting with ADManager Plus (typically via REST API) and Cerbos. You might use requests for API calls and cerbos-sdk for Cerbos. Install them using pip if needed:

pip install requests cerbos-sdk

Python Code Example:

import requests
from cerbos.sdk.client import CerbosClient
from cerbos.sdk.model import Principal, Resource, CheckResourceRequest

ADManager Plus details

ADMANAGER_PLUS_API_ENDPOINT = 'https:// your-admanager-plus-server/api'
ADMANAGER_PLUS_API_KEY = 'your-admanager-plus-api-key'
USER_ID = 'user@example.com'

Function to get user roles from ADManager Plus

def get_user_roles_from_admanager(user_id):
    headers = {'Authorization': f'Bearer {ADMANAGER_PLUS_API_KEY}'}
    # Note: Adjust the endpoint and parameters as per ADManager Plus API documentation
    response = requests.get(f'{ADMANAGER_PLUS_API_ENDPOINT}/users/{user_id}/roles', headers=headers)
    if response.status_code == 200:
        # Assuming the response contains a list of roles assigned to the user
        return [role['name'] for role in response.json().get('roles', [])]
    else:
        return []

Get user roles user_roles = get_user_roles_from_admanager(USER_ID)

Initialize the Cerbos client cerbos_client = CerbosClient("http://localhost:3592")

Define the user (Principal) for Cerbos with roles obtained from ADManager Plus principal = Principal(USER_ID, roles=user_roles)

Define the resource and action the user wants to perform

resource = Resource("document", "doc123", attr={"classification": "confidential"})
action = "view"  # The action the user wants to perform on the resource

Create a request for Cerbos to check if the user has permission to perform the action request = CheckResourceRequest(principal, resource, action=action)

Use Cerbos to check the permission result = cerbos_client.check_resource(request)

Decision based on Cerbos' response

if result.is_allowed:
    print("Access granted by Cerbos.")
else:
    print("Access denied by Cerbos.")

Notes:

• ADManager Plus Configuration: Replace 'https://your-admanager-plus-server/api' and 'your-admanager-plus-api-key' with your actual ADManager Plus server endpoint and API key.
• API Interaction: The get_user_roles_from_admanager function is simplified for illustration. You need to adjust the API endpoint and response parsing based on ADManager Plus's actual API, which may require handling pagination or different response structures.
• Cerbos Policies: Ensure your Cerbos instance has policies that correspond to the resources ("document") and actions ("view") used in this example, considering the roles obtained from ADManager Plus.

6. Okta Workforce Identity Cloud

Okta Workforce Identity Cloud is an independent, cloud-native identity platform built to connect people to the applications and services they need. It provides single sign-on (SSO), adaptive multi-factor authentication (MFA), and a Universal Directory that centralizes user identities across an organization. With over 8,000 pre-built integrations, Okta serves as a neutral identity layer that works across diverse IT environments without being tied to a single cloud vendor's ecosystem.

The platform supports automated lifecycle management, handling user provisioning and de-provisioning as employees join, change roles, or leave. Okta's Adaptive MFA uses contextual signals like device posture, network location, and login behavior to adjust authentication requirements dynamically, reducing friction for low-risk logins while tightening security when anomalies are detected.

However, costs can scale significantly as organizations add advanced features like lifecycle management and API access management on top of base SSO. Smaller teams may find the breadth of configuration options more than they need, and organizations heavily invested in a single cloud provider's ecosystem (like Microsoft) may find overlapping capabilities with their existing identity tools.

At A Glance

Pros:

• Vendor-Neutral Identity Layer: Works across AWS, Azure, GCP, and on-premises environments without locking you into a single ecosystem.
• Extensive Integration Catalog: Over 8,000 pre-built connectors simplify onboarding new applications into the identity framework.
• Adaptive Authentication: Contextual MFA adjusts security requirements based on risk signals, balancing security with user convenience.
• Automated Lifecycle Management: Streamlines provisioning and de-provisioning, reducing the manual burden on IT teams and minimizing orphaned accounts.

Cons:

• Cost at Scale: Pricing tiers can add up quickly as advanced features (lifecycle management, API access, advanced server access) are added beyond core SSO and MFA.
• Complexity for Simple Setups: Organizations with straightforward identity needs may find the platform's breadth of features more than necessary.
• Dependency on Okta's Availability: As a cloud-hosted service, any downtime on Okta's side directly impacts authentication across all connected applications.

Okta Workforce Identity Cloud with Cerbos

Okta handles identity verification and authentication, establishing who a user is and what groups they belong to. Cerbos takes over from there, using those identity signals to make fine-grained authorization decisions based on policies you define. This separation keeps authentication and authorization cleanly decoupled. Okta manages the identity lifecycle, Cerbos evaluates what each identity is allowed to do in the context of specific resources and actions.

Prerequisites:

• Okta Setup: Ensure your Okta tenant is configured with users, groups, and an API token or OAuth application for server-side access.
• Cerbos Instance: Have a Cerbos instance running and accessible from your application, with policies defined for your resources and actions.
• Python Libraries: Install the required libraries: pip install okta cerbos-sdk

Conceptual Python Code Example:

from okta.client import Client as OktaClient
from cerbos.sdk.client import CerbosClient
from cerbos.sdk.model import Principal, Resource, CheckResourceRequest
import asyncio

# Okta configuration
OKTA_ORG_URL = 'https://your-okta-domain.okta.com'
OKTA_API_TOKEN = 'your-okta-api-token'
USER_ID = 'user@example.com'

# Function to get user groups from Okta
async def get_user_groups_from_okta(user_id):
    okta_client = OktaClient({
        'orgUrl': OKTA_ORG_URL,
        'token': OKTA_API_TOKEN
    })
    users, resp, err = await okta_client.list_users({'search': f'profile.email eq "{user_id}"'})
    if users:
        groups, resp, err = await okta_client.list_user_groups(users[0].id)
        return [group.profile.name for group in groups]
    return []

# Get user groups from Okta
user_groups = asyncio.run(get_user_groups_from_okta(USER_ID))

# Initialize the Cerbos client
cerbos_client = CerbosClient("http://localhost:3592")

# Define the user (Principal) for Cerbos with groups from Okta as roles
principal = Principal(USER_ID, roles=user_groups)

# Define the resource and action the user wants to perform
resource = Resource("report", "report456", attr={"department": "finance", "classification": "internal"})
action = "view"  # The action the user wants to perform

# Create a request for Cerbos to check if the user has permission
request = CheckResourceRequest(principal, resource, action=action)

# Use Cerbos to check the permission
result = cerbos_client.check_resource(request)

# Decision based on Cerbos' response
if result.is_allowed:
    print("Access granted by Cerbos.")
else:
    print("Access denied by Cerbos.")

Notes:

• Okta Configuration: Replace 'https://your-okta-domain.okta.com' and 'your-okta-api-token' with your actual Okta org URL and API token.
• User Groups as Roles: This example uses Okta group memberships as roles in Cerbos. Depending on your setup, you might also pull custom attributes from the Okta user profile to pass as principal attributes for more granular policy decisions.
• Cerbos Policies: Ensure your Cerbos instance has policies defined that correspond to the resources ("report") and actions ("view") used in this example, considering the group memberships from Okta as roles.

7. SailPoint IdentityIQ

SailPoint IdentityIQ is an identity governance and administration (IGA) platform designed for enterprises that need to manage complex access landscapes across hybrid environments. It focuses on the governance side of identity, answering questions like who has access to what, whether that access is appropriate, and whether it complies with regulatory requirements. The platform provides automated access certifications, role modeling, separation-of-duties enforcement, and policy-driven provisioning and de-provisioning.

SailPoint's AI-driven identity intelligence analyzes access patterns to recommend role definitions and flag anomalous entitlements, reducing the manual effort involved in access reviews. The platform supports both cloud and on-premises deployments, making it suitable for regulated industries like financial services and healthcare where compliance requirements (SOX, HIPAA, GDPR) demand detailed audit trails and periodic access recertifications.

However, SailPoint is built for enterprise-scale deployments and its implementation complexity reflects that. Organizations without dedicated identity governance teams may find the learning curve steep, and the total cost of ownership, including professional services for initial deployment, can be significant.

At A Glance

Pros:

• Strong Compliance Capabilities: Automated access certifications, audit trails, and separation-of-duties enforcement meet the requirements of SOX, HIPAA, GDPR, and other regulations out of the box.
• AI-Driven Identity Intelligence: Machine learning analyzes access patterns to recommend roles, detect outliers, and streamline access reviews.
• Hybrid Environment Support: Manages identities and access across on-premises systems, cloud applications, and unstructured data stores from a single platform.
• Mature Governance Model: Role mining, access modeling, and lifecycle automation provide deep visibility into who has access to what and why.

Cons:

• Implementation Complexity: Enterprise deployments often require professional services and significant configuration effort, particularly for organizations with complex legacy environments.
• Enterprise-Focused Pricing: The platform's pricing and feature set are geared toward large organizations, which can make it less accessible for mid-market teams.
• Learning Curve: The depth of governance features requires dedicated identity teams to fully leverage the platform's capabilities.

SailPoint IdentityIQ with Cerbos

SailPoint manages the governance layer, determining who should have access to what based on roles, certifications, and compliance policies. Cerbos adds real-time, request-level authorization on top. While SailPoint determines that a user should have the "analyst" role with access to financial reports, Cerbos evaluates whether that specific analyst can access this particular report right now, based on resource attributes, time of day, or any other contextual condition defined in policy.

Prerequisites:

• SailPoint Setup: Ensure your SailPoint IdentityIQ instance is configured with users, roles, and the IdentityIQ REST API enabled.
• Cerbos Instance: Have a Cerbos instance running and accessible from your application, with policies defined for your resources and actions.
• Python Libraries: Install the required libraries: pip install requests cerbos-sdk

Conceptual Python Code Example:

import requests
from cerbos.sdk.client import CerbosClient
from cerbos.sdk.model import Principal, Resource, CheckResourceRequest

# SailPoint IdentityIQ details
SAILPOINT_API_ENDPOINT = 'https://your-sailpoint-instance.com/identityiq/scim/v2'
SAILPOINT_API_TOKEN = 'your-sailpoint-api-token'
USER_ID = 'user@example.com'

# Function to get user roles from SailPoint IdentityIQ
def get_user_roles_from_sailpoint(user_id):
    headers = {
        'Authorization': f'Bearer {SAILPOINT_API_TOKEN}',
        'Content-Type': 'application/json'
    }
    response = requests.get(
        f'{SAILPOINT_API_ENDPOINT}/Users?filter=emails.value eq "{user_id}"',
        headers=headers
    )
    if response.status_code == 200:
        users = response.json().get('Resources', [])
        if users:
            # Extract roles from the user's entitlements
            return [role['value'] for role in users[0].get('roles', [])]
    return []

# Get user roles from SailPoint
user_roles = get_user_roles_from_sailpoint(USER_ID)

# Initialize the Cerbos client
cerbos_client = CerbosClient("http://localhost:3592")

# Define the user (Principal) for Cerbos with roles from SailPoint
principal = Principal(USER_ID, roles=user_roles)

# Define the resource and action the user wants to perform
resource = Resource("financial_report", "q4-2025", attr={"department": "finance", "sensitivity": "high"})
action = "export"  # The action the user wants to perform

# Create a request for Cerbos to check if the user has permission
request = CheckResourceRequest(principal, resource, action=action)

# Use Cerbos to check the permission
result = cerbos_client.check_resource(request)

# Decision based on Cerbos' response
if result.is_allowed:
    print("Access granted by Cerbos.")
else:
    print("Access denied by Cerbos.")

Notes:

• SailPoint Configuration: Replace 'https://your-sailpoint-instance.com/identityiq/scim/v2' and 'your-sailpoint-api-token' with your actual SailPoint IdentityIQ endpoint and API credentials.
• SCIM API: This example uses SailPoint's SCIM 2.0 API for user lookups. Depending on your deployment, you may need to use the IdentityIQ REST API directly or adjust the endpoint paths and response parsing.
• Cerbos Policies: Ensure your Cerbos instance has policies defined that correspond to the resources ("financial_report") and actions ("export") used in this example, considering the roles obtained from SailPoint.

8. JumpCloud

JumpCloud is a cloud directory platform that combines identity management, device management, and SSO in a single cloud-based solution. Unlike traditional directory services tied to a specific operating system, JumpCloud is platform-agnostic, managing users and devices across Windows, macOS, and Linux from a unified console. It provides LDAP, RADIUS, and SAML/OIDC protocols, making it a flexible replacement or complement to on-premises Active Directory.

The platform is particularly well-suited for organizations with mixed-OS environments or distributed teams that need centralized identity and device management without standing up on-premises infrastructure. JumpCloud's conditional access policies allow administrators to control access based on device state and network location, adding an extra layer of security when users connect from untrusted environments. Its built-in MDM capabilities for macOS, Windows, and Linux reduce the need for separate device management tools.

However, JumpCloud's governance and compliance features are less mature than those offered by dedicated IGA platforms. Organizations with complex regulatory requirements may find its audit and certification capabilities insufficient on their own, and enterprise-scale deployments with tens of thousands of users may encounter limitations in advanced role management.

At A Glance

Pros:

• Platform Agnostic: Manages identities and devices across Windows, macOS, and Linux without favoring a single ecosystem.
• Unified Directory and Device Management: Combines user directory, SSO, MFA, and device management in one platform, reducing tool sprawl.
• Cloud-Native Architecture: No on-premises infrastructure required, making it accessible for distributed and remote-first teams.
• Protocol Flexibility: Supports LDAP, RADIUS, SAML, and OIDC, enabling integration with both legacy and modern applications.

Cons:

• Limited Governance Features: Lacks the depth of access certification, role mining, and separation-of-duties enforcement found in dedicated IGA tools.
• Enterprise Maturity: Advanced role management and large-scale deployment features are still evolving compared to established enterprise directory platforms.
• Reporting Depth: Built-in reporting and audit capabilities may not meet the needs of heavily regulated environments without supplementary tools.

JumpCloud with Cerbos

JumpCloud establishes user identities and group memberships across your environment. Cerbos uses those identity signals to enforce fine-grained authorization policies at the application level. This pairing gives you centralized identity management from JumpCloud with context-aware access control from Cerbos, without either tool needing to replicate the other's responsibilities.

Prerequisites:

• JumpCloud Setup: Ensure your JumpCloud directory is configured with users and user groups.
• Cerbos Instance: Have a Cerbos instance running and accessible from your application, with policies defined for your resources and actions.
• Python Libraries: Install the required libraries: pip install requests cerbos-sdk

Conceptual Python Code Example:

import requests
from cerbos.sdk.client import CerbosClient
from cerbos.sdk.model import Principal, Resource, CheckResourceRequest

# JumpCloud details
JUMPCLOUD_API_KEY = 'your-jumpcloud-api-key'
JUMPCLOUD_API_URL = 'https://console.jumpcloud.com/api/v2'
USER_EMAIL = 'user@example.com'

# Function to get user groups from JumpCloud
def get_user_groups_from_jumpcloud(user_email):
    headers = {
        'x-api-key': JUMPCLOUD_API_KEY,
        'Content-Type': 'application/json'
    }
    # First, find the user by email using the v1 API
    user_response = requests.get(
        'https://console.jumpcloud.com/api/systemusers',
        headers=headers,
        params={'filter': f'email:$eq:{user_email}'}
    )
    if user_response.status_code == 200:
        users = user_response.json().get('results', [])
        if users:
            user_id = users[0]['_id']
            # Get groups the user belongs to using the v2 API
            groups_response = requests.get(
                f'{JUMPCLOUD_API_URL}/users/{user_id}/memberof',
                headers=headers
            )
            if groups_response.status_code == 200:
                # Note: Adjust response parsing based on your JumpCloud API version
                return [group.get('name', '') for group in groups_response.json()]
    return []

# Get user groups from JumpCloud
user_groups = get_user_groups_from_jumpcloud(USER_EMAIL)

# Initialize the Cerbos client
cerbos_client = CerbosClient("http://localhost:3592")

# Define the user (Principal) for Cerbos with groups from JumpCloud as roles
principal = Principal(USER_EMAIL, roles=user_groups)

# Define the resource and action the user wants to perform
resource = Resource("server", "prod-db-01", attr={"environment": "production", "region": "us-east-1"})
action = "ssh"  # The action the user wants to perform

# Create a request for Cerbos to check if the user has permission
request = CheckResourceRequest(principal, resource, action=action)

# Use Cerbos to check the permission
result = cerbos_client.check_resource(request)

# Decision based on Cerbos' response
if result.is_allowed:
    print("Access granted by Cerbos.")
else:
    print("Access denied by Cerbos.")

Notes:

• JumpCloud Configuration: Replace 'your-jumpcloud-api-key' with your actual JumpCloud API key from the admin console.
• API Endpoints: The JumpCloud API uses v1 endpoints for system users and v2 for group membership lookups. The response structure for group memberships may vary depending on your JumpCloud setup, so adjust the parsing logic accordingly.
• Cerbos Policies: Ensure your Cerbos instance has policies defined that correspond to the resources ("server") and actions ("ssh") used in this example, considering the group memberships from JumpCloud as roles.

9. OneLogin

OneLogin is a cloud-based identity and access management platform that provides single sign-on (SSO), multi-factor authentication (MFA), and directory integration for organizations managing access across cloud and on-premises applications. Now part of the One Identity portfolio, the platform emphasizes simplicity in deployment and administration, with a catalog of over 6,000 pre-built application connectors and directory synchronization with Active Directory, LDAP, and other sources.

OneLogin's SmartFactor Authentication uses machine learning to assess the risk of each login attempt based on factors like location, device, and network, adjusting authentication requirements accordingly. The platform also supports automated user provisioning through SCIM, reducing manual account management and helping ensure that access is revoked promptly when employees leave or change roles.

However, OneLogin's feature set is focused primarily on authentication and SSO rather than deep identity governance. Organizations that need advanced access certifications, role mining, or separation-of-duties enforcement will need to pair OneLogin with a dedicated governance solution. Reporting capabilities, while adequate for many use cases, may not satisfy the audit depth required in heavily regulated environments.

At A Glance

Pros:

• Straightforward Deployment: Faster time-to-value compared to enterprise IAM platforms, with an intuitive admin console and pre-built connectors.
• SmartFactor Authentication: Risk-based adaptive MFA adjusts requirements based on contextual signals, reducing unnecessary friction for trusted logins.
• Directory Synchronization: Keeps user identities consistent across Active Directory, LDAP, and cloud applications.
• Affordable Entry Point: Competitive per-user pricing makes it accessible for mid-market organizations that need solid SSO and MFA without enterprise-tier costs.

Cons:

• Limited Governance Depth: Does not provide the access certification, role mining, or compliance workflow features found in dedicated IGA platforms.
• Reporting Limitations: Built-in reporting covers standard audit needs but may fall short for organizations with complex regulatory requirements.
• Smaller Integration Catalog: While 6,000+ connectors cover most common applications, it trails Okta's catalog for niche or industry-specific integrations.

JumpCloud with Cerbos

OneLogin authenticates users and manages their identity lifecycle across applications. Cerbos extends this by adding policy-driven authorization at the resource level. While OneLogin determines that a user is who they claim to be and assigns them to the right applications, Cerbos evaluates what that authenticated user is allowed to do within each application, based on resource attributes, user context, and fine-grained policies.

Prerequisites:

• OneLogin Setup: Ensure your OneLogin instance is configured with users, roles, and API credentials (client ID and client secret).
• Cerbos Instance: Have a Cerbos instance running and accessible from your application, with policies defined for your resources and actions.
• Python Libraries: Install the required libraries: pip install requests cerbos-sdk

Conceptual Python Code Example:

import requests
import base64
from cerbos.sdk.client import CerbosClient
from cerbos.sdk.model import Principal, Resource, CheckResourceRequest

# OneLogin details
ONELOGIN_SUBDOMAIN = 'your-company'
ONELOGIN_CLIENT_ID = 'your-onelogin-client-id'
ONELOGIN_CLIENT_SECRET = 'your-onelogin-client-secret'
USER_EMAIL = 'user@example.com'

# Function to get an access token from OneLogin
def get_onelogin_token():
    credentials = base64.b64encode(
        f'{ONELOGIN_CLIENT_ID}:{ONELOGIN_CLIENT_SECRET}'.encode()
    ).decode()
    response = requests.post(
        f'https://{ONELOGIN_SUBDOMAIN}.onelogin.com/auth/oauth2/v2/token',
        headers={
            'Authorization': f'Basic {credentials}',
            'Content-Type': 'application/json'
        },
        json={'grant_type': 'client_credentials'}
    )
    return response.json().get('access_token')

# Function to get user roles from OneLogin
def get_user_roles_from_onelogin(user_email):
    token = get_onelogin_token()
    headers = {'Authorization': f'Bearer {token}'}

    # Find the user by email
    users_response = requests.get(
        f'https://{ONELOGIN_SUBDOMAIN}.onelogin.com/api/2/users?email={user_email}',
        headers=headers
    )
    if users_response.status_code == 200:
        users = users_response.json()
        if users:
            user_id = users[0]['id']
            # Get the user's roles
            roles_response = requests.get(
                f'https://{ONELOGIN_SUBDOMAIN}.onelogin.com/api/2/users/{user_id}/roles',
                headers=headers
            )
            if roles_response.status_code == 200:
                return [role['name'] for role in roles_response.json()]
    return []

# Get user roles from OneLogin
user_roles = get_user_roles_from_onelogin(USER_EMAIL)

# Initialize the Cerbos client
cerbos_client = CerbosClient("http://localhost:3592")

# Define the user (Principal) for Cerbos with roles from OneLogin
principal = Principal(USER_EMAIL, roles=user_roles)

# Define the resource and action the user wants to perform
resource = Resource("dashboard", "analytics-dashboard", attr={"team": "product", "data_scope": "company-wide"})
action = "view"  # The action the user wants to perform

# Create a request for Cerbos to check if the user has permission
request = CheckResourceRequest(principal, resource, action=action)

# Use Cerbos to check the permission
result = cerbos_client.check_resource(request)

# Decision based on Cerbos' response
if result.is_allowed:
    print("Access granted by Cerbos.")
else:
    print("Access denied by Cerbos.")

Notes:

• OneLogin Configuration: Replace 'your-company', 'your-onelogin-client-id', and 'your-onelogin-client-secret' with your actual OneLogin subdomain and API credentials.
• API Version: This example uses OneLogin's v2 API. Ensure your OneLogin plan includes API access, as some tiers restrict API availability.
• Cerbos Policies: Ensure your Cerbos instance has policies defined that correspond to the resources ("dashboard") and actions ("view") used in this example, considering the roles obtained from OneLogin.

Comparison Table for Reference

IAM Tool	Key Features	Pros	Cons
IBM Security Identity and Access Assurance	Integrated identity governance, access management, and intelligence	Comprehensive solution, advanced analytics, strong integration	Complexity in deployment, potentially higher cost
Microsoft Entra ID	Cloud service, integrates with Microsoft suite	Robust MFA and SSO, high scalability	Limited outside Microsoft ecosystem, lacks some AD features
Ping Identity	Strong SSO and MFA, supports Zero Trust	Adaptable, reliable login process	Needs UI improvement, device authorization issues
Google Cloud IAM	Principle of least privilege, granular access	Seamless integration with GCP, automatic updates	Complex role management, limited custom role flexibility
ManageEngine ADManager Plus	Comprehensive AD management, customizable reports	Enhanced role-based access, user-friendly	Limited API integrations, mobile optimization
Okta Workforce Identity Cloud	Vendor-neutral SSO, adaptive MFA, Universal Directory	8,000+ integrations, automated lifecycle management	Cost at scale, dependency on Okta availability
SailPoint IdentityIQ	Identity governance, automated certifications, compliance	AI-driven insights, strong compliance, hybrid support	Implementation complexity, enterprise-focused pricing
JumpCloud	Cloud directory, cross-platform device management	Platform agnostic, unified directory and MDM	Limited governance, enterprise features maturing
OneLogin	Cloud SSO, SmartFactor adaptive MFA, directory sync	Fast deployment, affordable, risk-based authentication	Limited governance depth, smaller integration catalog

If you’re interested in implementing externalized authorization - try out Cerbos Hub or book a call with a Cerbos engineer to see how our solution can help streamline access control in your applications.

Implementation Insights

Choosing an IAM tool is like picking the best lock for your door. You've got to make sure it fits just right. That means checking how it works with what you already have.

It's not a hassle; it's a smart move. This way, the IAM tools you choose will work like a charm with how you do things and keep your place safe.

It's not something to put off. It's a smart step to take care of your digital space. Integrating leading IAM tools into your organization helps enhance security, but it is also a strategic move towards operational excellence and robust defense against unauthorized access and potential data breaches.

A comprehensive security needs assessment tailored to your organization's specific system compatibility is crucial. This analysis ensures that the selected IAM solutions seamlessly mesh with your operational workflows and security requirements, paving the way for a smooth implementation.

Far from being a reason to hesitate, this careful preparation underscores the importance and benefits of adopting an IAM framework. It streamlines the integration process and significantly strengthens your organization's security posture, making implementing IAM solutions an essential and proactive measure for your businesses. It will lead to safeguarding your digital environments effectively.

Future Trends in IAM

I believe new trends like GenAI, ML & AI research, and Blockchain will heavily impact IAM.

AI and Machine Learning: These technologies are increasingly used to enhance behavioral analytics, offering more nuanced and adaptive authentication mechanisms. Example: Okta’s Adaptive Multi-Factor Authentication (MFA) uses machine learning to assess the risk of each authentication request. It considers the user's location, device, network, and behavior to assign a risk score to each login attempt. If the risk score is high, it prompts for additional authentication factors. This dynamic approach ensures a balance between security and user convenience, adapting to the access risk level in real-time.

Decentralized Identity: Blockchain technology is paving the way for self-sovereign identities, potentially revolutionizing how identities are managed and controlled, moving away from centralized models. Example: Decentralized identifiers (DIDs) and attestations on the Ethereum blockchain allow for secure and private verification of credentials. This system enables entities to issue tamper-proof, cryptographically verifiable claims, which anyone can check against the issuer's DID on the blockchain. Such a mechanism is crucial for maintaining the integrity and privacy of personal and professional qualifications in a digital economy.

Ways to prepare: To position your security system for adaptability to future trends, ensure you Invest in Talent and Training, Adopt Agile and Scalable Architectures, Leverage Advanced Analytics, Implement Continuous Authentication and Authorization, Enhance Data Privacy and Security, etc.

Conclusion

The top IAM tools for 2026, including IBM Security Identity and Access Assurance, Microsoft Entra ID, Ping Identity, Google Cloud IAM, ManageEngine ADManager Plus, Okta, SailPoint IdentityIQ, JumpCloud, and OneLogin, each address different aspects of the identity and access management landscape. Some focus on authentication and SSO, others on identity governance and compliance, and others on directory management and device control. Cerbos' unique strength is its policy-as-code approach, seamlessly integrating with these tools to enhance authorization capabilities. This synergy between authentication and authorization ensures robust security frameworks catering to diverse organizational needs. As organizations adopt time-bound access patterns, zero trust architectures, and increasingly complex hybrid environments, having a clean separation between identity management and fine-grained authorization becomes essential. These IAM tools, complemented by Cerbos, provide that separation while working together to deliver secure, efficient, and compliant operations.

Explore our IAM Security checklist for 2026: Confirm where your IAM posture stands today, identify the gaps, and build a plan to close them.

Try Cerbos Hub

Cerbos Hub provides a robust, dynamic, automated authorization management system. The Cerbos PDP ensures that authorization logic is transparent, version-controlled, and easy to manage. Cerbos Hub's managed service extends this power, seamlessly integrating with development workflows, providing real-time updates, and ensuring that authorization decisions are made efficiently everywhere, even at the edge.

Together, the two come together to form an enterprise authorization solution built to secure access across complex, distributed environments, SaaS products, and regulated systems.

Sign up to Cerbos Hub now and save months of developing access control in-house.