Description

This curriculum spans the design and operationalization of a security operations center at the level of a multi-workshop technical advisory engagement, covering governance, detection engineering, incident response coordination, and compliance alignment across complex enterprise environments.

Module 1: Establishing the SOC Governance Framework

Define the scope of SOC responsibilities by negotiating boundaries with existing IT, network operations, and compliance teams to prevent overlap and ensure accountability.
Select a governance model (centralized, federated, or hybrid) based on organizational structure, regulatory requirements, and existing security maturity.
Develop a formal charter approved by executive leadership that outlines SOC authority, escalation paths, and access rights to systems and logs.
Implement a role-based access control (RBAC) model for SOC analysts, ensuring segregation of duties between detection, investigation, and response roles.
Establish metrics and KPIs (e.g., mean time to detect, alert triage rate) aligned with business risk objectives and report them quarterly to the CISO and audit committees.
Integrate SOC operations with enterprise risk management processes to ensure threat visibility informs strategic risk decisions.

Module 2: Designing and Deploying Security Monitoring Infrastructure

Select log sources based on criticality, regulatory requirements, and threat exposure, prioritizing domain controllers, firewalls, EDR agents, and cloud workloads.
Architect a scalable log ingestion pipeline using a SIEM or data lake platform, balancing real-time processing needs with storage costs and retention policies.
Configure network TAPs and SPAN ports to ensure full packet capture on key segments without introducing latency or single points of failure.
Deploy lightweight forwarders or collectors in distributed environments to normalize and securely transmit logs over encrypted channels.
Implement parser development and testing procedures to ensure accurate field extraction from custom or proprietary application logs.
Validate data coverage by conducting quarterly log source gap analyses and reconciling against the organization’s asset inventory.

Module 3: Developing Detection Logic and Use Cases

Map detection use cases to MITRE ATT&CK techniques based on threat intelligence relevant to the industry vertical and observed adversary behavior.
Write correlation rules in the native SIEM language that minimize false positives by incorporating thresholds, time windows, and contextual enrichment.
Integrate threat intelligence feeds (e.g., STIX/TAXII) and automate indicator ingestion, while filtering out low-fidelity or irrelevant IOCs.
Develop behavioral baselines for user and entity activity using UEBA models, then tune anomaly detection to reduce alert fatigue.
Conduct purple team exercises to validate detection efficacy and refine logic based on adversary emulation results.
Maintain a detection engineering backlog with version-controlled rule changes, peer review, and documented testing outcomes.

Module 4: Incident Triage and Investigation Workflows

Implement standardized triage procedures that classify alerts by severity, confidence, and business impact to prioritize analyst workload.
Configure automated enrichment playbooks to pull context from AD, DNS, endpoint, and cloud APIs during initial alert assessment.
Deploy a case management system integrated with the SIEM to track investigation status, assign ownership, and maintain audit trails.
Define evidence preservation protocols for volatile and disk-based data to support potential legal or regulatory proceedings.
Establish cross-functional communication templates for coordinating with IT, legal, and PR during active incidents.
Conduct time-based performance reviews to measure and improve mean time to acknowledge and escalate confirmed threats.

Module 5: Threat Hunting and Proactive Defense

Develop a threat hunting calendar based on intelligence-driven hypotheses, recent breach trends, and internal vulnerability disclosures.
Use structured methodologies (e.g., hypothesis-driven, IOC-based, or TTP-based) to guide manual and automated exploration of enterprise data.
Leverage endpoint query tools (e.g., Velociraptor, KQL) to search for signs of persistence, lateral movement, or data exfiltration.
Integrate hunting findings into detection engineering by converting successful hypotheses into new SIEM rules or analytics.
Measure hunting effectiveness by tracking the percentage of findings that represent previously undetected malicious activity.
Rotate hunting focus areas quarterly to cover cloud environments, identity systems, supply chain risks, and third-party access points.

Module 6: Incident Response Coordination and Containment

Activate incident response playbooks based on incident type (e.g., ransomware, insider threat, phishing), ensuring alignment with IRP documentation.
Obtain necessary approvals before executing containment actions that may disrupt business operations, such as network isolation or account disablement.
Coordinate with endpoint and network teams to implement technical containment measures while preserving forensic integrity.
Document all response actions in a timeline format to support post-incident analysis and regulatory reporting.
Engage external parties (e.g., forensics firms, law enforcement) only after internal legal and communications teams have reviewed the implications.
Conduct real-time situation briefings for executive stakeholders using non-technical summaries during major incidents.

Module 7: Continuous Improvement and Metrics Analysis

Perform post-incident reviews using a blameless framework to identify process gaps, tool limitations, and training needs.
Calculate and trend key metrics such as alert-to-case ratio, false positive rate, and detection coverage across asset classes.
Update detection rules and playbooks quarterly based on lessons learned, threat evolution, and changes in the IT environment.
Conduct tabletop exercises with SOC and business units to validate readiness for high-impact scenarios like supply chain compromises.
Benchmark SOC performance against industry standards (e.g., NIST, CIS) and adjust priorities based on maturity gaps.
Manage tool lifecycle by evaluating vendor contracts, upgrade paths, and integration stability during annual technology reviews.

Module 8: Compliance and Audit Readiness for SOC Operations

Map SOC controls to regulatory frameworks (e.g., NIST CSF, ISO 27001, SOC 2) to demonstrate compliance during audits.
Maintain immutable audit logs of all SOC activities, including alert handling, access to tools, and changes to detection logic.
Prepare evidence packages for auditors that include rule documentation, incident reports, and access control configurations.
Implement logging of privileged SOC user actions to detect potential insider misuse or policy violations.
Coordinate with internal audit to schedule control testing and address findings related to monitoring coverage or response delays.
Update control narratives annually to reflect changes in tooling, staffing, or operational procedures affecting control effectiveness.