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Njuguna Wilfred
Njuguna Wilfred

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Understanding IAM (Identity and Access Management) in Cybersecurity

As applications scale and digital infrastructure becomes more complex, controlling who can access what becomes critical. That’s where Identity and Access Management (IAM) steps in: it's the cornerstone of modern cybersecurity and governance. In this blog post, we’ll dive into what IAM is, why it matters, and how it works in practice for developers and security professionals.

What Is IAM?

IAM (Identity and Access Management) refers to the policies, processes, and technologies used to manage digital identities and control access to resources within an organization.

In simple terms, IAM ensures that:

  • The right individuals (or systems)
  • Have the right access
  • To the right resources
  • At the right time
  • For the right reasons

Why IAM Matters in Cybersecurity

Cybersecurity is about protecting confidentiality, integrity, and availability (CIA) of systems. IAM plays a direct role in all three:

  • Confidentiality: Ensures unauthorized users can't access sensitive data.
  • Integrity: Prevents unauthorized changes by restricting edit permissions.
  • Availability: Minimizes risks of service disruption via role-based access controls.

IAM is your first line of defense against insider threats, data breaches, privilege escalation, and lateral movement by attackers.

Core Components of IAM

IAM is more than just "logging in." It consists of several interrelated building blocks:

1. Identity Management
Identity management
This involves creating, managing, and deleting user identities. Examples include:

  • Employee accounts in Microsoft Entra ID (formerly Azure AD)
  • Customer profiles in an e-commerce system
  • Machine identities like API tokens or IoT devices

2. Authentication
Authentication
Authentication answers the question: “Are you who you claim to be?”
Common methods:

  • Passwords (not recommended as the sole method)
  • Multi-Factor Authentication (MFA)
  • Biometrics (Face ID, fingerprints)
  • OAuth tokens or SSO (Single Sign-On)

3. Authorization
Authorization
Once authenticated, the system determines what you can access.
Authorization models include:

  • Role-Based Access Control (RBAC) – access based on roles like "admin" or "viewer"
  • Attribute-Based Access Control (ABAC) – access based on attributes like department or time of day
  • Policy-Based Access Control (PBAC) – dynamic rules using policies (used in AWS IAM and GCP IAM)

4. Access Governance
Access Governance
This focuses on:

  • Reviewing who has access to what
  • Detecting excessive or unused privileges
  • Conducting periodic access audits
  • Enforcing segregation of duties (SoD)

5. Privileged Access Management (PAM)
Privileged Access Management(PAM)
PAM handles users with elevated privileges (admins, root users, DBAs), by:

  • Vaulting credentials
  • Rotating secrets
  • Session monitoring
  • Just-In-Time (JIT) access

How IAM Works in Practice
Process to take while implementing IAM
Let’s walk through a typical flow in an enterprise environment:
1. User Onboarding
- HR system sends a trigger to IAM platform.
- IAM provisions an identity with appropriate roles.
- MFA is enforced.
2. Authentication
- User logs in via SSO.
- System verifies identity using password + push notification.
3. Authorization
- User attempts to access a resource (e.g., an internal Git repository).
- IAM checks policies (e.g., only devs in the Engineering group can access).
- Access granted or denied.
4. Audit & Monitoring
- All access events are logged.
- IAM dashboard flags anomalies (e.g., after-hours logins from a new location).
5. Offboarding
- User leaves company.
- IAM revokes all access and deactivates accounts automatically.

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