Integrating security into digital transformation is difficult but essential to ensure vulnerabilities and risks do not undermine innovation and the benefits of modernization. Security planning should start early and persist throughout the lifecycle of transformation initiatives. A foundational step is implementing Identity and Access Management (IAM), which provides the policies, processes, technologies, and practices to manage digital identities and control access so that the right people can appropriately reach systems, applications, data, and even physical locations.
Identity Governance and Administration (IGA) is positioned as a focused subset of IAM that governs identities, access rights, and administrative processes to reduce security risk, support regulatory compliance, streamline administration, and maintain enterprise-wide visibility into access across complex environments. Core IGA practices include lifecycle management, access provisioning and deprovisioning, request and approval workflows, certifications, role management, segregation of duties (SoD), and audit support. IGA is often introduced after IAM, becoming a final “leg” of security in transformation programs.
To improve efficiency and reduce error, IGA solutions should add analytics and automation, including AI/ML to generate insight into access patterns, compliance posture, and risks, and to automate complex tasks like joiner/mover/leaver provisioning and low-risk approvals or certifications. Organizations are also considering cloud and cloud-native security services to gain cost efficiency, scalability, agility, and innovation.
ForgeRock, founded in 2010, evolved from introducing a self-managed IGA product in 2019 to building a fully featured, cloud-native IGA offering hosted on Google Cloud Platform as part of the ForgeRock Identity Platform. Its Workforce Identity Governance combines governance, access management, machine learning, and automation; integrates with existing identity stores and third-party IAM; supports lifecycle management via automation and Remote Connector Server for on-premises provisioning; and delivers self-service access requests, AI-guided certifications with confidence scoring, SoD enforcement, and reporting powered by a data lake. Strengths include AI-driven automation, reporting, cloud-native scale, and ecosystem reach; challenges include SaaS-only delivery for the new solution, a basic UI, and lack of decentralized identity support.
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