Skip to main content

Future Technology in Identity Management

$199.00
Who trusts this:
Trusted by professionals in 160+ countries
When you get access:
Course access is prepared after purchase and delivered via email
How you learn:
Self-paced • Lifetime updates
Toolkit Included:
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.
Your guarantee:
30-day money-back guarantee — no questions asked
Adding to cart… The item has been added

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.