Description

This curriculum spans the design and execution of operational audits across ten integrated modules, comparable in scope to a multi-workshop internal governance program, addressing audit planning, regulatory alignment, evidence collection, and continuous monitoring across ITIL service operation processes.

Module 1: Defining the Audit Scope and Objectives in Service Operations

Selecting which ITIL service operation processes (incident, problem, change, event, access) to include based on business impact and regulatory exposure.
Determining whether audits will be process-focused, technology-focused, or compliance-driven depending on stakeholder mandates.
Establishing boundaries between service operation and service transition activities to prevent scope creep during audit planning.
Identifying key performance indicators (KPIs) for each process that will serve as audit evidence criteria.
Deciding whether to include third-party managed services in scope and defining data access protocols with vendors.
Aligning audit timelines with operational cycles (e.g., avoiding peak change blackout periods).
Documenting assumptions about tooling coverage (e.g., assuming CMDB accuracy) and defining validation thresholds.
Obtaining formal sign-off from process owners on audit objectives to ensure cooperation during fieldwork.

Module 2: Regulatory and Standards Alignment in Operational Audits

Mapping service operation controls to specific clauses in ISO 27001, SOX, HIPAA, or GDPR based on data handling practices.
Assessing whether change management approvals satisfy segregation of duties (SoD) requirements under financial regulations.
Evaluating incident response timelines against SLA and legal breach notification obligations (e.g., 72-hour GDPR reporting).
Verifying encryption and access logging practices for privileged accounts in alignment with NIST 800-53 controls.
Reviewing backup retention periods for operational systems to confirm compliance with data sovereignty laws.
Identifying gaps between documented procedures and actual practices that could invalidate compliance certifications.
Coordinating with legal and compliance teams to interpret ambiguous regulatory language affecting service operations.
Documenting control exceptions with risk acceptance forms signed by data owners when full compliance is operationally unfeasible.

Module 3: Designing Evidence Collection Methodologies

Selecting sampling strategies (random, judgmental, stratified) for reviewing change records based on risk profiles.
Defining data extraction protocols from ITSM tools (e.g., ServiceNow, Jira) to ensure chain of custody for audit evidence.
Specifying log retention requirements for event management systems to support forensic traceability.
Developing interview questionnaires for shift supervisors to assess adherence to incident escalation procedures.
Validating automated evidence collection scripts to prevent data truncation or timestamp errors.
Establishing criteria for acceptable evidence (e.g., system-generated logs vs. email approvals) in access management reviews.
Creating templates for documenting control deviations with screenshots, timestamps, and system IDs.
Implementing version control for evidence packages to support peer review and retesting.

Module 4: Evaluating Change Management Controls

Assessing emergency change approval workflows for post-implementation review compliance and unauthorized rollback risks.
Verifying CAB attendance logs to confirm representation from security, operations, and business units.
Reviewing change failure rates by change type to identify chronic process weaknesses.
Checking for unauthorized changes by cross-referencing deployment logs with change records.
Evaluating backout plans for high-risk changes to determine operational feasibility during outages.
Assessing the use of standardized change models for repetitive tasks to reduce approval bottlenecks.
Measuring change advisory board (CAB) meeting frequency against volume of standard and normal changes.
Identifying segregation of duties violations in change implementation and approval roles.

Module 5: Assessing Incident and Problem Management Effectiveness

Reviewing incident categorization accuracy to ensure proper routing and reporting consistency.
Measuring mean time to resolve (MTTR) against SLA bands and identifying systemic delays in escalation paths.
Validating root cause analysis (RCA) documentation for recurring incidents to assess problem management follow-through.
Checking for duplicate incident tickets that indicate knowledge base underutilization.
Assessing major incident management coordination, including war room activation and stakeholder communication logs.
Reviewing known error database (KEDB) maintenance frequency and linking to resolved problem records.
Identifying incidents improperly closed without user confirmation, indicating potential data manipulation.
Mapping high-frequency incident types to underlying configuration items for proactive problem identification.

Module 6: Access and Identity Governance in Operational Environments

Reviewing privileged access review cycles for database administrators and system operators.
Validating deprovisioning timelines for terminated employees across identity management systems.
Assessing just-in-time (JIT) access controls for cloud environments against standing access risks.
Identifying shared service accounts used in operational scripts and evaluating accountability gaps.
Testing multi-factor authentication (MFA) enforcement on administrative interfaces during off-hours.
Reviewing access request workflows for segregation from change and incident management roles.
Measuring orphaned account prevalence across critical systems and linking to HR offboarding delays.
Assessing role-based access control (RBAC) model alignment with least privilege principles.

Module 7: Event and Monitoring Control Validation

Evaluating event correlation rules to reduce alert noise and prevent critical alerts from being missed.
Reviewing alert escalation paths for after-hours incidents to confirm on-call coverage and response SLAs.
Validating monitoring coverage for business-critical services versus technical infrastructure.
Assessing false positive rates for security and performance alerts to determine tuning requirements.
Checking log aggregation completeness across hybrid environments (on-prem, cloud, SaaS).
Reviewing alert acknowledgment patterns to detect alert fatigue or process bypassing.
Verifying integration between monitoring tools and incident management systems for automatic ticket creation.
Testing failover detection mechanisms in high-availability clusters during controlled outages.

Module 8: Configuration Management and CMDB Integrity Audits

Assessing CMDB reconciliation frequency with discovery tools and identifying stale configuration items (CIs).
Validating CI ownership assignments and escalation paths for outdated records.
Reviewing change impact analysis reports to determine CMDB dependency accuracy.
Identifying shadow IT systems not reflected in the CMDB through network traffic analysis.
Measuring completeness of CI attributes (e.g., location, support group, lifecycle status) for audit readiness.
Assessing automated discovery tool coverage across virtual, containerized, and serverless environments.
Reviewing manual CMDB updates for compliance with change control procedures.
Mapping CI relationships to business services to evaluate outage impact modeling reliability.

Module 9: Reporting Audit Findings and Driving Remediation

Classifying findings by risk level (critical, high, medium, low) using a standardized risk matrix aligned with business impact.
Writing observation statements that link control failures to specific evidence and regulatory requirements.
Developing actionable remediation plans with defined owners, milestones, and success metrics.
Presenting findings to technical teams using operational terminology to avoid misinterpretation.
Coordinating with internal audit to ensure consistency with enterprise risk reporting formats.
Scheduling follow-up validation dates for high-risk findings based on operational change windows.
Documenting compensating controls when direct remediation is delayed for technical or business reasons.
Integrating audit results into management review meetings to influence service improvement planning.

Module 10: Sustaining Governance Through Continuous Monitoring

Implementing automated control monitoring for high-risk processes using script-based validation checks.
Integrating audit metrics into operational dashboards for real-time visibility by service owners.
Establishing thresholds for control deviation alerts (e.g., unapproved changes exceeding 5% of total).
Rotating audit focus areas quarterly to prevent control fatigue and complacency.
Using benchmark data from past audits to set performance targets for process improvement.
Embedding audit readiness checks into change and release management pre-implementation reviews.
Training operations staff on audit evidence retention practices during routine activities.
Conducting mini-assessments after major incidents or breaches to evaluate control resilience.