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Identity Engineering in Identity Management

Identity Engineering in Identity Management

$248.00
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Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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What does the Identity Engineering in Identity Management course cover?

Identity Engineering in Identity Management is covered here in 8 modules: Identity Lifecycle Management, Authentication Architecture and Protocols, Access Governance and Entitlement Management and 5 more. The outline lists 48 specific topics, opening with design and implement automated provisioning workflows for onboarding, role changes, and offboarding across heterogeneous systems including HRIS, SaaS, and on-prem applications.

How do you approach Identity Engineering in Identity Management step by step?

The work is sequenced in 8 stages. It starts with Identity Lifecycle Management, moves through Authentication Architecture and Protocols and Access Governance and Entitlement Management, and ends at Identity Analytics and Threat Detection. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Identity Engineering in Identity Management course?

Module 1 is Identity Lifecycle Management. It works through design and implement automated provisioning workflows for onboarding, role changes, and offboarding across heterogeneous systems including HRIS, SaaS, and on-prem applications., integrate identity sources such as SAP SuccessFactors, Workday, or Oracle HCM with downstream systems using SCIM, REST APIs, or flat-file batch processing based on data latency and availability requirements., define and enforce.

How is the Identity Engineering in Identity Management course delivered?

The Identity Engineering in Identity Management course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Identity Engineering in Identity Management course cost?

The Identity Engineering in Identity Management course is $248 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Identity Engineering in Identity and Access Management, Identity Engineering for Connected Mobility Systems, Identity Engineering for Modern Enterprise Security, Social Engineering Attacks in Identity and Access.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the design and operationalization of identity systems across the full enterprise lifecycle, comparable in scope to a multi-phase IAM transformation program involving integration of HR, SaaS, and on-prem systems, deployment of federation and access governance frameworks, and establishment of monitoring, audit, and threat detection capabilities.

Module 1: Identity Lifecycle Management

  • Design and implement automated provisioning workflows for onboarding, role changes, and offboarding across heterogeneous systems including HRIS, SaaS, and on-prem applications.
  • Integrate identity sources such as SAP SuccessFactors, Workday, or Oracle HCM with downstream systems using SCIM, REST APIs, or flat-file batch processing based on data latency and availability requirements.
  • Define and enforce join rules for merging identities from multiple authoritative sources, resolving conflicts in attributes like email or employee ID using precedence hierarchies.
  • Implement deprovisioning safeguards such as soft-delete states and revocation grace periods to prevent accidental access loss while maintaining audit compliance.
  • Configure lifecycle state transitions with approver chains for high-risk roles, ensuring separation of duties during promotions or lateral moves.
  • Establish reconciliation schedules and exception handling procedures for detecting and resolving discrepancies between source-of-truth systems and target applications.

Module 2: Authentication Architecture and Protocols

  • Select and configure appropriate authentication protocols (SAML, OIDC, OAuth 2.1, WS-Fed) based on application capabilities, user experience requirements, and security posture.
  • Implement adaptive authentication policies that adjust MFA requirements based on risk signals such as geolocation, device posture, or anomalous login times.
  • Deploy and manage certificate-based authentication for machine identities in service-to-service communication, including rotation and revocation workflows.
  • Configure federation trust relationships with external partners using metadata exchange, entity categories, and attribute filtering to limit exposure of internal claims.
  • Integrate FIDO2/WebAuthn for passwordless authentication while maintaining fallback mechanisms for legacy devices and accessibility requirements.
  • Enforce token lifetime and refresh policies in OAuth clients to balance security, performance, and user convenience in mobile and single-page applications.

Module 3: Access Governance and Entitlement Management

  • Define and structure role models using role mining and role engineering techniques, balancing granularity with manageability in large-scale environments.
  • Implement role-based access control (RBAC) and attribute-based access control (ABAC) policies, selecting the appropriate model based on dynamicity and context sensitivity of access decisions.
  • Configure periodic access reviews with targeted reviewer assignments, escalation paths, and remediation workflows for certification of user entitlements.
  • Integrate entitlement data from applications lacking APIs by orchestrating secure file-based extractions and parsing unstructured access lists.
  • Enforce segregation of duties (SoD) rules during access requests and certification cycles, with configurable conflict thresholds and exception handling procedures.
  • Design and deploy just-in-time (JIT) access workflows with time-bound approvals and automated revocation for privileged and temporary access scenarios.

Module 4: Identity Federation and Single Sign-On

  • Architect SSO topologies using identity provider (IdP) chaining or brokered federation for complex enterprise landscapes with multiple IdPs and trust domains.
  • Map and normalize attributes across federated partners using claim transformation rules, ensuring consistent user identification without exposing sensitive attributes.
  • Implement session management policies across federated applications, including centralized logout (SLO) coordination and session timeout synchronization.
  • Configure IdP-initiated and SP-initiated login flows based on user population, application criticality, and partner integration constraints.
  • Deploy and maintain metadata aggregation and consumption pipelines for automated trust updates in large-scale federation environments.
  • Monitor and troubleshoot SSO failure patterns using correlation IDs, browser developer tools, and IdP/SP logs to isolate misconfigurations or network issues.

Module 5: Privileged Access Management Integration

  • Integrate PAM systems with IAM platforms to synchronize privileged account ownership, session monitoring triggers, and access request workflows.
  • Enforce just-enough-privilege (JEP) models by dynamically provisioning and deprovisioning elevated rights based on approved requests and time constraints.
  • Configure privileged session initiation through IAM portals, ensuring all elevation events are tied to authenticated user identities and audit trails.
  • Implement credential rotation policies for shared administrative accounts, with synchronization mechanisms to update dependent systems and service configurations.
  • Map privileged roles to business functions and ensure approval workflows include risk-based validation from operational and security stakeholders.
  • Correlate privileged access logs from IAM and PAM systems for unified reporting and anomaly detection in SIEM or audit platforms.

Module 6: Identity Data Governance and Compliance

  • Define data classification policies for identity attributes (e.g., PII, role sensitivity) and enforce encryption, masking, and retention rules accordingly.
  • Implement consent management workflows for identity data sharing across regions, aligning with GDPR, CCPA, and other jurisdictional requirements.
  • Configure audit logging for all identity transactions, ensuring immutable storage and retention periods meet regulatory and internal policy mandates.
  • Conduct regular access certification campaigns for sensitive systems, with reviewer delegation rules and automated follow-up for non-responses.
  • Establish data subject request (DSR) handling procedures for identity data access, correction, and deletion, integrating with case management systems.
  • Perform privacy impact assessments (PIA) for new identity integrations, documenting data flows, third-party sharing, and risk mitigation controls.

Module 7: Identity Platform Operations and Resilience

  • Design high-availability and disaster recovery configurations for identity platforms, including failover IdPs and cached authentication mechanisms.
  • Implement monitoring and alerting for critical identity services such as token issuance rates, directory replication lag, and MFA delivery failures.
  • Manage schema extensions in identity directories (e.g., Active Directory, Azure AD) with backward compatibility and application dependency analysis.
  • Orchestrate patching and version upgrades for IAM components using staged rollouts and rollback procedures to minimize service disruption.
  • Optimize performance of large-scale directory queries using indexing, attribute scoping, and pagination to prevent application timeouts.
  • Conduct regular penetration testing and red team exercises on identity infrastructure, focusing on token manipulation, privilege escalation, and federation bypass.

Module 8: Identity Analytics and Threat Detection

  • Aggregate and normalize identity event data from multiple sources (directory, IdP, PAM, cloud apps) into a centralized data lake or SIEM platform.
  • Develop behavioral baselines for user access patterns using machine learning models, flagging anomalies such as off-hours access or impossible travel.
  • Configure correlation rules to detect credential stuffing, brute force attacks, and token replay attempts across authentication endpoints.
  • Integrate identity risk signals with SOAR platforms to automate response actions like MFA enforcement, session termination, or account lockout.
  • Produce executive and operational dashboards showing identity risk posture, access review completion rates, and policy violation trends.
  • Perform forensic analysis on compromised accounts using identity logs to determine lateral movement, data access, and persistence mechanisms.
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