Technical Glossary
An integrated platform that handles the full lifecycle of digital identities including provisioning, authentication, authorization, and deprovisioning across enterprise applications and services. Identity management systems centralize user administration, enforce access policies, and generate audit trails for compliance reporting. ISO/IEC 24760 defines the foundational framework for identity management architectures and their component interactions. Modern implementations increasingly incorporate self-sovereign identity capabilities alongside traditional directory-based approaches.
The System for Cross-domain Identity Management is an open standard protocol that simplifies the automated provisioning and management of user identities across cloud-based applications and services. SCIM defines a RESTful API with standardized schemas for user and group resources, supporting create, read, update, delete, and search operations. IETF RFCs 7642, 7643, and 7644 specify the protocol definitions, core schema, and API specification respectively. SCIM enables consistent identity lifecycle management across heterogeneous application environments without custom integration development.
The framework of policies, interfaces, and technical mechanisms that ensure identity data is collected, processed, and shared only with the explicit informed consent of the data subject. Consent management systems record consent decisions with sufficient granularity to support purpose limitation, data minimization, and the right to withdraw consent as mandated by privacy regulations. The Kantara Initiative User-Managed Access specification provides a consent-driven authorization framework for identity data sharing. Robust consent management is essential for regulatory compliance and maintaining user trust in identity management platforms.
A categorization system that classifies the rigor and reliability of identity verification processes used to establish that a claimed identity belongs to the presenting individual. NIST SP 800-63A defines three Identity Assurance Levels ranging from IAL1 with no evidence required to IAL3 demanding in-person proofing with biometric verification against authoritative sources. Each level prescribes specific requirements for evidence collection, validation, and verification procedures. Identity management systems must support the proofing assurance level appropriate to the risk profile of the credentials being issued.
The security discipline governing the creation, maintenance, and termination of authenticated user sessions including token issuance, timeout enforcement, and concurrent session controls. Session management implements security measures such as session token rotation, binding to client characteristics, and absolute and idle timeout policies to limit exposure from session hijacking. NIST SP 800-63B specifies reauthentication requirements at each assurance level and mandates periodic session validation. Properly implemented session management prevents persistent unauthorized access while maintaining usable authentication experiences.
An access control model in which permissions are assigned to organizational roles rather than individual users, and users acquire access rights by being assigned to appropriate roles. RBAC simplifies administration by grouping permissions into reusable role definitions that reflect job functions and organizational structure. NIST established the reference model for RBAC through the INCITS 359 standard, defining core, hierarchical, constrained, and symmetric role relationships. Identity management systems implement RBAC to enforce least-privilege principles and streamline access provisioning at enterprise scale.
A hierarchical data store optimized for read-heavy access patterns that maintains identity attributes, group memberships, and authentication credentials for networked resources and users. Directory services implement the LDAP protocol for standardized query and modification operations against the identity data store. IETF RFC 4511 defines the Lightweight Directory Access Protocol operations including bind, search, compare, and modify. Enterprise identity management relies on directory services as the authoritative source of identity information feeding authentication, authorization, and provisioning workflows.
The use of workflow engines, event-driven triggers, and policy rules to automate identity management operations including account creation, modification, access reviews, and deprovisioning without manual intervention. Automation reduces provisioning latency, eliminates orphaned accounts, and ensures consistent policy enforcement across identity lifecycle transitions. SCIM and HR system integrations enable joiners-movers-leavers workflows that synchronize identity states across enterprise applications. Identity lifecycle automation is critical for organizations managing large user populations where manual processes create unacceptable security and compliance risks.
An authentication architecture that enables users to authenticate once and gain access to multiple applications and services without re-entering credentials for each resource. SSO implementations leverage federation protocols to propagate authentication state across application boundaries through security tokens or assertions. OpenID Connect and SAML 2.0 are the predominant SSO protocols for web-based applications, while Kerberos serves traditional enterprise environments. Identity management platforms implement SSO to improve user experience while centralizing authentication event logging and policy enforcement.
A specialized identity management discipline focused on securing, monitoring, and auditing access by accounts with elevated permissions to critical systems, infrastructure, and sensitive data. PAM solutions implement credential vaulting, just-in-time privilege elevation, session recording, and behavioral analytics to mitigate risks associated with administrative access. NIST SP 800-53 defines privileged access controls as high-priority security requirements across multiple control families. Integration with identity management systems ensures that privileged access follows the same governance, certification, and lifecycle management processes as standard user access.
A security paradigm that extends identity verification beyond the initial login event by continuously evaluating user behavioral patterns, biometric signals, and contextual factors throughout an active session. Continuous authentication systems assess keystroke dynamics, mouse movement patterns, device telemetry, and geolocation consistency to maintain ongoing confidence in user identity. IEEE and ACM research demonstrates that behavioral biometrics can detect account takeover with high accuracy while minimizing user friction. This approach aligns with zero trust architecture principles that mandate continuous verification of all access requests.
A security analytics methodology that establishes baseline patterns of normal user activity and applies machine learning algorithms to detect deviations indicative of compromised accounts, insider threats, or policy violations. UBA systems ingest identity events, access logs, and application telemetry to construct behavioral profiles for each user entity across the organization. NIST Cybersecurity Framework identifies behavioral analytics as a key detection capability for identity-centric security monitoring. Integration with identity management platforms enables automated response actions such as step-up authentication or account suspension when anomalies are detected.
A periodic review process in which designated managers or resource owners evaluate and confirm or revoke user access entitlements to ensure they remain appropriate to current job responsibilities and comply with policy requirements. Access certification campaigns detect and remediate access drift, accumulated privileges, and orphaned entitlements that accumulate over time as users change roles. Regulatory frameworks including SOX, HIPAA, and GDPR mandate regular access reviews as evidence of ongoing access governance. Identity management systems automate certification workflows to reduce review fatigue while maintaining comprehensive audit documentation.
The application of data science and machine learning techniques to identity data for the purpose of identifying access risks, optimizing role structures, detecting policy violations, and improving identity management operational efficiency. Identity analytics processes entitlement data, access patterns, and organizational context to generate risk scores, role mining recommendations, and anomaly alerts. NIST and IEEE research demonstrates the effectiveness of graph-based and clustering algorithms for discovering hidden access relationships and toxic combinations. Advanced identity analytics transforms reactive identity management into a predictive security capability.
A security framework that applies the zero trust principle of never trust, always verify to every identity-related transaction by requiring continuous authentication, authorization, and risk assessment regardless of network location or prior access history. Zero trust identity architectures replace implicit trust based on network perimeter with explicit, context-aware policy decisions evaluated at each access request. NIST SP 800-207 defines the reference architecture for zero trust implementations and emphasizes identity as the primary control plane. This approach fundamentally transforms identity management from a periodic event-based model to a continuous, risk-adaptive security paradigm.