This curriculum spans the technical and operational complexity of multi-workshop identity modernization programs, addressing the integration of identity systems across hybrid environments, zero trust architectures, IoT ecosystems, and emerging decentralized frameworks as typically encountered in large-scale organizational transformations.
Module 1: Foundational Identity Architecture in Hybrid Environments
- Selecting between centralized identity providers and decentralized identity models based on regulatory jurisdiction and data residency requirements.
- Mapping legacy LDAP and Active Directory schemas to modern identity fabric designs without disrupting existing application integrations.
- Implementing identity synchronization workflows between on-premises directories and cloud identity platforms using SCIM with conflict resolution policies.
- Designing failover mechanisms for identity services to maintain authentication continuity during cloud provider outages.
- Evaluating federation protocols (SAML 2.0 vs. OIDC) for specific application types and user populations based on session management needs.
- Establishing naming conventions and identity source-of-truth rules across multiple business units during mergers or acquisitions.
Module 2: Zero Trust Integration with Identity Systems
- Configuring continuous authentication policies that adjust session assurance levels based on device posture and network context.
- Integrating identity providers with endpoint detection and response (EDR) tools to enforce access revocation upon threat detection.
- Defining granular access policies that bind user identity, device state, location, and time-of-day into dynamic authorization decisions.
- Implementing just-in-time (JIT) access provisioning for privileged roles with automated deactivation triggers.
- Mapping identity attributes to ZTNA policy engines to enforce micro-segmentation at the application layer.
- Coordinating identity telemetry with SIEM systems to detect lateral movement through anomalous access patterns.
Module 4: Identity Governance and Lifecycle Automation
- Designing role-based access control (RBAC) structures that balance usability with segregation of duties (SoD) constraints in ERP systems.
- Automating access certification campaigns with risk-based sampling to reduce reviewer fatigue while maintaining compliance.
- Implementing joiner-mover-leaver (JML) workflows that synchronize HRIS events with provisioning systems across cloud and on-prem applications.
- Configuring entitlement analysis tools to detect excessive permissions and recommend role refinements based on usage analytics.
- Integrating identity governance platforms with ticketing systems to enforce policy-compliant access requests and approvals.
- Establishing audit trails for access decisions with immutable logging to support regulatory examinations.
Module 5: Biometrics and Behavioral Authentication in Practice
- Assessing false acceptance and false rejection rates of biometric modalities under real-world environmental conditions.
- Designing fallback authentication methods when biometric sensors fail or users cannot provide samples (e.g., injury).
- Storing biometric templates using secure enclaves or on-device processing to avoid centralized sensitive data repositories.
- Implementing continuous behavioral authentication using keystroke dynamics and mouse movement patterns in high-risk applications.
- Addressing legal and consent requirements for collecting and processing biometric data under GDPR, BIPA, and other regulations.
- Calibrating behavioral models to reduce false positives during user adaptation periods or changes in work patterns.
Module 6: Identity in IoT and Machine-to-Machine Ecosystems
- Issuing cryptographically verifiable identities to IoT devices using hardware security modules (HSMs) or TPMs.
- Managing certificate lifecycle for machine identities at scale, including automated renewal and revocation processes.
- Designing lightweight authentication protocols for resource-constrained devices that cannot support full TLS stacks.
- Integrating device identity into enterprise IAM systems for audit and access control consistency.
- Implementing mutual TLS with client certificate authentication for secure API communication between services.
- Establishing trust boundaries for third-party devices connecting to corporate networks using attestation and policy enforcement.
Module 7: Decentralized Identity and Self-Sovereign Identity (SSI) Deployments
- Selecting verifiable credential formats and signing algorithms based on interoperability and long-term validation requirements.
- Integrating SSI wallets with enterprise identity providers for selective attribute disclosure in customer onboarding.
- Designing trust frameworks that define issuer accreditation and revocation mechanisms for verifiable credentials.
- Implementing decentralized identifiers (DIDs) with resolution services compatible with existing DNS and PKI infrastructure.
- Assessing legal enforceability of digital credentials in regulated processes such as KYC and contract signing.
- Managing private key recovery for users in decentralized systems without compromising the self-sovereign model.
Module 8: AI-Driven Identity Operations and Threat Detection
- Training machine learning models on historical access logs to establish baseline user behavior for anomaly detection.
- Tuning risk scoring engines to minimize false positives while maintaining sensitivity to credential compromise indicators.
- Implementing automated response workflows that challenge or block access based on real-time risk scores.
- Ensuring model interpretability for audit and compliance by maintaining explainable AI decision logs.
- Protecting training data from poisoning attacks that could manipulate behavioral baselines.
- Orchestrating identity responses across multiple systems (e.g., MDM, email, cloud apps) during suspected account takeover events.