This curriculum spans the design and operationalization of a mature Security Operations Center, comparable in scope to a multi-phase internal capability build or a comprehensive advisory engagement, covering governance, detection engineering, incident response, and automation across hybrid environments.
Module 1: Establishing SOC Governance and Operational Frameworks
- Define escalation paths for Level 1, 2, and 3 analysts based on incident severity and business impact, ensuring alignment with executive risk appetite.
- Select and document authority thresholds for automated containment actions (e.g., host isolation) to balance response speed with operational risk.
- Develop retention policies for raw logs, alerts, and enriched data in coordination with legal and compliance teams to meet regulatory requirements.
- Implement role-based access controls (RBAC) for SOC tools to enforce separation of duties and prevent privilege creep among analysts.
- Negotiate SLAs with IT and cloud operations teams for forensic data access, system patching, and network configuration changes.
- Establish a formal change advisory board (CAB) process to review and approve modifications to detection rules, alert thresholds, and tool configurations.
Module 2: Designing and Deploying Detection Architecture
- Map data sources (EDR, firewall, identity, cloud APIs) to MITRE ATT&CK techniques based on asset criticality and threat intelligence.
- Configure log normalization and parsing rules in SIEM to ensure consistent field extraction across heterogeneous device vendors.
- Deploy network TAPs and SPAN ports with capacity planning for peak traffic, ensuring full packet capture for high-risk segments.
- Integrate threat intelligence feeds using STIX/TAXII, filtering for relevance to industry and geography to reduce noise.
- Implement distributed sensor architecture for cloud workloads using agent-based and API-driven collection methods.
- Validate detection logic through purple team exercises that simulate adversary behaviors in production-adjacent environments.
Module 3: Developing and Tuning Detection Rules
- Write Sigma rules for endpoint telemetry that distinguish between legitimate administrative activity and potential credential dumping.
- Adjust correlation thresholds for brute force detection based on user role (e.g., service accounts vs. executives) to reduce false positives.
- Implement time-based suppression windows for scheduled patching and backup jobs to prevent alert fatigue.
- Use statistical baselining to identify anomalous data exfiltration patterns from database servers.
- Version-control detection rules in Git with peer review workflows to track changes and ensure auditability.
- Conduct quarterly rule efficacy reviews using metrics such as mean time to detect (MTTD) and alert-to-incident ratio.
Module 4: Incident Response and Triage Operations
- Standardize triage checklists for common incident types (e.g., phishing, ransomware, insider threat) to ensure consistent initial assessment.
- Deploy automated enrichment playbooks in SOAR to pull IOC context from threat intel platforms and internal directories.
- Isolate compromised systems using VLAN reassignment or host-based firewall rules, documenting chain of custody for evidence.
- Initiate forensic memory and disk captures using approved toolkits while maintaining system availability for business continuity.
- Coordinate disclosure timelines with legal and PR teams when third-party vendors or customers are impacted.
- Escalate incidents to external incident response firms based on predefined criteria such as malware sophistication or data scope.
Module 5: Threat Hunting and Proactive Defense
- Develop hypothesis-driven hunting campaigns based on emerging TTPs observed in peer organizations or ISAC reports.
- Query EDR platforms for suspicious PowerShell command-line arguments indicative of obfuscated scripts.
- Correlate failed authentication spikes with lateral movement patterns across domain controllers and jump hosts.
- Use passive DNS data to identify newly registered domains mimicking corporate branding for phishing infrastructure.
- Conduct credential exposure sweeps using internal password hash comparisons against known breach datasets.
- Document hunting findings in structured reports with remediation recommendations and detection rule proposals.
Module 6: Managing Third-Party and Cloud Security Integration
- Enforce contractual obligations for MSSP response times, reporting formats, and access logging through service agreements.
- Configure API-based integrations with SaaS platforms (e.g., O365, Salesforce) to ingest audit logs into central SIEM.
- Validate cloud-native logging (AWS CloudTrail, Azure Activity Log) is enabled across all regions and accounts, including root accounts.
- Assess shared responsibility model implications for containerized workloads in Kubernetes environments.
- Monitor CSPM alerts for misconfigured storage buckets, public-facing databases, and overly permissive IAM roles.
- Conduct quarterly access reviews for third-party vendor accounts with SOC tooling and ticketing systems.
Module 7: Performance Measurement and Continuous Improvement
- Calculate and report mean time to acknowledge (MTTA) and mean time to contain (MTTC) across incident categories.
- Conduct post-incident reviews (PIRs) using root cause analysis to identify detection or process gaps.
- Benchmark detection coverage against MITRE ATT&CK heatmaps to prioritize rule development.
- Track analyst workload distribution to prevent burnout and ensure adequate coverage during peak hours.
- Update runbooks based on lessons learned from red team engagements and real-world incidents.
- Perform annual SOC capability maturity assessments using NIST or CIS frameworks to guide budget and staffing requests.
Module 8: Scaling and Automating SOC Operations
- Implement SOAR workflows to auto-close benign alerts based on IOC reputation checks and user behavior analytics.
- Design playbook branching logic to handle multi-factor authentication bypass scenarios during account takeover investigations.
- Orchestrate automated quarantine of malicious email attachments across mail gateways and endpoints.
- Integrate vulnerability management data to prioritize incident response based on exploit availability and asset exposure.
- Scale analyst capacity through tiered escalation models that route low-risk alerts to automated resolution paths.
- Deploy machine learning models to cluster similar alerts and reduce duplicate ticket creation in ITSM systems.