10 Top Trends in IAM

Digital transformation is accelerating a broad shift toward consuming “everything as a service,” including Identity and Access Management (IAM). IAM is no longer limited to identifying, authenticating, and authorizing employees (B2E); it must also cover partners (B2P/B2B), customers/consumers (B2C), and non-human identities such as software services and Internet of Things (IoT/IIoT) devices. The central challenge is managing this rapidly expanding identity landscape in ways that satisfy security and privacy requirements while still enabling growth, frictionless digital interactions, and personalization.

To keep pace, organizations are encouraged to adopt service-based IAM architectures—especially cloud-based identity services that make identity attributes persistent, distributable, and consumable like a utility. Modern architectures such as microservices and API-driven integration are positioned as foundational: APIs become the bridge between services across on-premises and cloud environments and act as security gatekeepers, making API security critical. A practical entry point is modernizing B2E capabilities (including migrating Identity Governance and Administration to microservices), but converging use cases across B2E/B2B/B2P/B2C and IoT favor a consistent services approach at every layer.

Adaptive, risk-based authentication and authorization are emphasized as essential for decisions about allowing or denying transactions based on assurance levels, supporting stronger MFA, and avoiding friction through analytics and machine learning. Privileged Access Management is expected to grow in importance, expanding toward insight, compliance, and use cases like DevOps and machine-to-machine communication, including just-in-time and ephemeral access. Access Governance should evolve from static entitlements to policy-based governance across identity, data, and enterprise risk, aligning with Zero Trust. These trends converge into an “Identity Fabric”: a connected, standards-oriented backend concept that unifies identity services via secure APIs and supports gradual migration from legacy IAM.

• IAM scope includes employees (B2E), partners (B2P/B2B), customers/consumers (B2C), and non-human identities such as services and IoT devices.
• Moving critical workloads to the cloud increases the rationale for moving IAM management to the cloud to reduce hybrid integration and licensing complexity.
• APIs provide the bridge between services, microservices, and containers across on-premises and cloud environments.
• API security is critical because APIs function as secure access points and gatekeepers to identity services.
• Customer/Consumer IAM (CIAM) offerings have been introduced by some vendors to support digital customer engagement.
• Industrial IoT sensors can require IAM controls for access to ERP and other systems.
• Risk-based adaptive authentication and authorization enable allow/deny decisions based on required assurance versus provided assurance.
• Machine learning-supported analytics are described as a way to avoid slowing down adaptive authentication processes.
• Privileged Access Management is expanding to include capabilities such as just-in-time and ephemeral access.
• Identity Fabric is defined as a concept—connected IT components working as a single entity—rather than a tool.

• “The challenge is to manage all these identities to meet security and privacy requirements, while at the same time enabling business growth, frictionless consumer/customer interaction, and personalized services and content.”
• “The success of Digital Transformation depends on an ability to manage the access of everyone and everything to every digital service, with modern architectures like microservices at the core.”
• “The future will be API-based.”
• “Identity will become a utility supporting applications, systems and services.”
• “Adaptive Authentication and Authorization are key to enabling IAM to become more agile and support a wide range of identities and authentication methods.”
• “In the digital era, almost every account has some privileges.”
• “Organizations planning their future IAM should consider re-defining Access Governance (AG) to go beyond static entitlements in systems, applications and services to include the governance of all types of access.”
• “Artificial Intelligence in the form of Machine Learning rather than Strong AI is finally becoming a reality.”
• “An Identity Fabric, therefore, is a concept, not a tool, that is about connecting every user to every service.”
• “Identity Fabrics are focused on delivering the APIs and tools required by the developers of the digital services to support advanced approaches to IAM…”