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IAM, Identity & Access Management

Identity & Access Management (IAM) provides centralized access management for people, applications, services, and AI agents.
The solution allows defining who or what can access systems and data, under what conditions, and with what rights. IAM encompasses both human and non-human identities, including API and automation. Unified access policies, control, and audit are implemented according to Zero Trust principles. This helps reduce risks and ensure transparent and controlled access in modern environments.

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SOLUTION
DESCRIPTION

What IAM is today

Identity & Access Management (IAM) is a centralized approach to access management that defines:

  • who or what (person, service, API, AI agent)
  • to what
  • under what conditions
  • for what time

can access systems and data.

In modern digital environments, identity has replaced the network as the security perimeter.
That’s why IAM is the foundation of Zero Trust architecture.

What problem does IAM solve

Modern IT environments are no longer limited to users within a corporate network.
Access to systems and data is granted to applications, services, APIs, automation, and AI agents that act autonomously or on behalf of users. In most organizations, these accesses are created and used without unified rules, transparency, or centralized control.

Traditional IAM was primarily focused on human accounts and does not fully account for non-human identities. This results in excessive privileges, outdated service accounts, uncontrolled API keys, and a lack of clear understanding of who or what actually has access to critical resources.

IAM (Human + Non-Human) solves this problem by introducing a unified approach to managing all types of identities. It allows for centralized determination of access rules, application of context-based policies, and ensures auditing of each access request according to Zero Trust principles. This reduces risks, enhances manageability, and ensures transparent access control in modern digital environments.

Human Identities

User Identities

Human Identities encompass all types of human accounts that access corporate systems and data. These include organization employees, external partners, contractors, and customers interacting with digital services.

For human identities, IAM provides a full set of access control mechanisms. The system supports Multi-Factor Authentication (MFA) and Single Sign-On (SSO), allowing secure and convenient work with corporate applications. Adaptive and risk-based authentication considers the access context and risk level of each request. Centralized access policies define what actions users are allowed to perform, and access and session audits ensure transparency and control in accordance with security requirements.

Non-Human Identities

Digital Identities

Non-Human Identities — these are digital identities not linked to a specific person, but have access to systems and data. They include applications, services, APIs, microservices, service accounts, automation processes, CI/CD tools, as well as AI and autonomous agents.

In modern IT environments, the number of non-human identities often exceeds the number of human identities, yet they frequently remain outside centralized control. Without management through IAM, such identities gain excessive privileges, use long-term tokens or keys, and pose a hidden security risk.

IAM for Non-Human Identities ensures the authentication of services and APIs, centralized management of tokens and secrets, and the implementation of access policies in machine-to-machine scenarios. Delegating authority allows services to operate within permitted roles only, and the audit of non-human entities’ actions ensures transparency and control in accordance with Zero Trust principles.

AI & Agent Identity — a new level of IAM

Identities of autonomous agents and services

AI & Agent Identity encompasses the identities of autonomous agents and services that operate without constant human involvement. Such agents can perform tasks on behalf of users, make decisions based on data, and access critical systems and information.

Unlike classical applications, AI agents work dynamically, initiate actions independently, and interact with other services. Without clearly defined access rules, they quickly become an uncontrolled risk, as their permissions are difficult to track, limit, and audit.

IAM (Human + Non-Human) allows integrating AI agents into a unified access management model. The system determines which agent can act on behalf of a specific user or service, applies Zero Trust policies to every request, limits agent permissions, and ensures a complete audit of all their actions. This makes the use of AI and autonomous services manageable, secure, and transparent for the organization.

IAM in Zero Trust architecture

Identity & Access Management is a central element of Zero Trust architecture, as identity is used as the basis for access decision-making. In the Zero Trust model, there is no default trust, regardless of the source of the request. Every access attempt is verified based on the identity of the subject, the context of the request, and defined security policies.

IAM ensures the application of Zero Trust principles without network exposure and without the need to rely on classical perimeter mechanisms. Access to systems and data is granted only after verifying users, services, or AI agents, as well as the compliance of their actions with established rules. This allows organizations to control access to resources regardless of user location, cloud environments, or the level of automation.

Thanks to IAM in the Zero Trust architecture, it becomes possible to safely replace VPN with Zero Trust Network Access (ZTNA), scale cloud platforms and automation, and securely protect critical systems and data. This approach reduces the attack surface and provides managed, transparent access in line with modern cybersecurity requirements.

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