Description

This curriculum spans the design and operation of a mature security operations center, comparable in scope to a multi-phase advisory engagement focused on building and tuning a SOC’s governance, detection, and response capabilities across people, processes, and technology.

Module 1: Establishing the SOC Foundation and Governance

Define the scope of the SOC by determining which systems, networks, and data repositories are in-scope based on regulatory requirements and business criticality.
Select between centralized, decentralized, or hybrid SOC models based on organizational structure, geographic distribution, and existing IT operations.
Establish reporting lines and escalation paths between the SOC, IT operations, legal, compliance, and executive leadership.
Develop a charter that outlines the SOC’s authority, responsibilities, and limitations in incident response and access to systems.
Implement a formal change control process for modifying detection rules, monitoring coverage, and tool configurations within the SOC.
Conduct a gap analysis comparing current monitoring capabilities against frameworks such as NIST CSF or ISO 27001 to prioritize foundational investments.

Module 2: Threat Intelligence Integration and Management

Subscribe to and normalize threat feeds from commercial, open-source, and industry-specific ISACs based on relevance to the organization’s threat landscape.
Map threat actor TTPs (Tactics, Techniques, and Procedures) from MITRE ATT&CK to existing detection rules to identify coverage gaps.
Establish a process for validating and triaging incoming Indicators of Compromise (IOCs) before integrating them into SIEM or EDR platforms.
Assign ownership for maintaining threat intelligence use cases and updating adversary profiles quarterly or after major incidents.
Balance automated IOC ingestion with manual review to prevent alert fatigue from low-fidelity or outdated indicators.
Integrate threat intelligence into incident response playbooks to guide containment and remediation actions based on adversary behavior.

Module 4: Security Monitoring and Detection Engineering

Design detection rules in SIEM platforms using a hypothesis-driven approach rather than relying solely on out-of-the-box signatures.
Implement behavioral baselining for user and entity activity to detect anomalies such as unusual login times or data access patterns.
Optimize correlation rules to reduce false positives by tuning thresholds and incorporating contextual data like asset criticality or user role.
Deploy decoy assets and honeytokens to detect lateral movement and attacker reconnaissance within the environment.
Validate detection efficacy through purple team exercises that simulate adversary techniques and measure detection latency.
Maintain a detection backlog with prioritization based on risk, exploit availability, and historical incident data.

Module 5: Incident Response and Case Management

Standardize incident classification using a severity matrix that incorporates impact on operations, data sensitivity, and regulatory exposure.
Enforce mandatory data entry fields in the case management system to ensure consistent documentation of attacker TTPs and response actions.
Implement time-based SLAs for triage, escalation, and containment based on incident severity levels.
Coordinate with legal and PR teams before initiating external notifications required by regulations such as GDPR or HIPAA.
Preserve forensic artifacts such as memory dumps, PCAPs, and registry hives in a write-protected repository for potential litigation.
Conduct post-incident peer reviews to evaluate response effectiveness and update playbooks based on lessons learned.

Module 6: SOC Tooling and Technology Stack Integration

Select a SIEM platform based on scalability, normalization capabilities, and compatibility with existing logging sources and retention policies.
Integrate EDR solutions with the SIEM to enable automated response actions such as process termination or host isolation.
Configure API-based integrations between SOAR platforms and ticketing systems to automate case creation and assignment.
Implement log source redundancy for critical systems to prevent visibility gaps during collector failures or network outages.
Enforce role-based access controls (RBAC) on SOC tools to limit configuration changes to authorized personnel only.
Perform quarterly performance reviews of tooling to identify bottlenecks in data ingestion, search latency, or alert processing.

Module 7: Performance Measurement and Continuous Improvement

Track mean time to detect (MTTD) and mean time to respond (MTTR) across incident categories to identify systemic delays.
Calculate the false positive rate per detection rule and deprecate rules that consistently generate noise without yielding valid alerts.
Conduct tabletop exercises biannually to test incident response coordination and update runbooks based on findings.
Benchmark SOC performance against industry peer data on metrics such as analyst workload and alert volume per million events.
Use skill gap assessments to align analyst training with emerging threats and tooling updates.
Present quarterly operational reports to the CISO that link SOC activities to risk reduction and control effectiveness.

Module 3: Identity and Access Monitoring in the SOC

Integrate privileged access management (PAM) logs into the SIEM to detect unauthorized elevation of privileges or misuse of admin accounts.
Correlate failed authentication attempts across systems to identify potential brute force or credential stuffing attacks.
Implement monitoring for service account activity, especially for those with broad permissions and non-expiring credentials.
Establish alerts for creation or modification of users in critical groups such as Domain Admins or local administrators.
Enforce just-in-time (JIT) access for privileged roles and log all access requests and approvals for audit purposes.
Monitor for anomalous geographic logins or simultaneous sessions from disparate locations using identity telemetry.