Description

This curriculum spans the design, operation, and continuous improvement of a security operations center, comparable in scope to a multi-phase advisory engagement focused on building and maturing an enterprise SOC’s detection, response, and governance capabilities.

Module 1: SOC Architecture and Operational Design

Selecting between centralized, decentralized, or hybrid SOC models based on organizational footprint and incident response latency requirements.
Designing network segmentation to ensure SOC tools have access to critical telemetry without introducing lateral movement risks.
Integrating firewall, endpoint, and cloud logging sources into a unified data ingestion pipeline with normalized schema mapping.
Implementing high-availability configurations for SIEM and EDR platforms to maintain visibility during infrastructure outages.
Establishing secure, role-based access controls for SOC analysts, tiered by clearance level and response authority.
Documenting and version-controlling runbooks for common SOC operations to ensure consistency across shifts and personnel.

Module 2: Threat Intelligence Integration and Prioritization

Filtering commercial and open-source threat feeds to eliminate noise and align indicators with the organization’s threat model.
Mapping adversary TTPs from MITRE ATT&CK to existing detection rules and identifying coverage gaps in monitoring.
Developing automated workflows to enrich alerts with contextual threat intelligence from STIX/TAXII sources.
Establishing a process for validating and deprecating IOCs that no longer reflect active campaigns.
Coordinating with external ISACs to receive sector-specific intelligence while managing data-sharing legal constraints.
Assigning risk scores to threat actors based on capability, intent, and historical targeting patterns relevant to the industry.

Module 3: Detection Engineering and Rule Development

Writing Sigma rules that balance detection sensitivity with false positive rates across Windows, Linux, and cloud environments.
Validating detection logic using historical log data to measure baseline alert volume and mean time to triage.
Implementing behavioral baselines for user and entity activity to identify anomalies indicative of compromise.
Version-controlling detection rules in Git and applying CI/CD pipelines for testing rule changes in staging environments.
Collaborating with network and system teams to understand legitimate administrative activity and reduce alert fatigue.
Rotating and deprecating detection rules that consistently fail to produce actionable outcomes over a 90-day period.

Module 4: Incident Triage and Analysis Workflow

Applying a standardized triage checklist to determine alert validity, scope, and urgency within SLA timeframes.
Correlating alerts across multiple sources (EDR, DNS, proxy) to distinguish isolated events from coordinated attacks.
Using memory and disk forensics artifacts to confirm malware execution or credential dumping activity.
Documenting chain of custody for forensic evidence when legal or regulatory investigation is anticipated.
Escalating incidents to incident response teams with a clear summary of affected systems, IOCs, and recommended actions.
Conducting peer review of escalated cases to ensure analysis rigor and consistency across analysts.

Module 5: Incident Response Coordination and Containment

Executing network-level containment actions such as VLAN isolation or firewall rule changes under change management policy.
Coordinating endpoint isolation via EDR tools while avoiding disruption to critical business operations.
Preserving volatile data from compromised systems before initiating containment procedures.
Managing communication with IT operations during containment to prevent conflicting remediation attempts.
Documenting containment decisions and justifications for audit and post-incident review purposes.
Reassessing containment scope when new evidence indicates broader compromise or false positives.

Module 6: Post-Incident Review and SOC Process Improvement

Conducting blameless post-mortems to identify technical and procedural gaps in detection or response.
Updating detection rules and playbooks based on attacker techniques observed in recent incidents.
Measuring and reporting mean time to detect (MTTD) and mean time to respond (MTTR) across incident types.
Adjusting alert thresholds and correlation logic to reduce dwell time for specific attack vectors.
Integrating lessons learned into analyst training materials and simulation exercises.
Presenting incident trends and improvement metrics to executive stakeholders without technical jargon.

Module 7: Compliance, Reporting, and Governance

Generating audit-ready reports that demonstrate SOC activities align with NIST, ISO 27001, or SOC 2 requirements.
Configuring logging retention policies to meet regulatory mandates without exceeding storage budgets.
Restricting access to sensitive investigation data based on data privacy laws such as GDPR or HIPAA.
Documenting exceptions for systems that cannot be monitored due to technical or operational constraints.
Coordinating with legal and PR teams when incidents involve customer data or require public disclosure.
Conducting quarterly SOC control assessments to validate effectiveness and identify resource shortfalls.

Module 8: Advanced Attack Simulation and Red Team Integration

Designing purple team exercises that validate detection coverage for ransomware, phishing, and lateral movement.
Coordinating red team operations with business units to avoid unintended service disruption.
Using red team findings to measure detection and response efficacy in controlled conditions.
Integrating adversary emulation scripts into continuous testing frameworks for recurring validation.
Adjusting monitoring scope based on red team success paths that reveal blind spots in visibility.
Debriefing red and blue teams jointly to align tactics, techniques, and tooling improvements.