Description

This curriculum spans the design and operation of a full-scale security operations center, comparable in scope to a multi-phase advisory engagement covering SOC governance, detection engineering, incident response orchestration, and proactive threat hunting across hybrid enterprise environments.

Module 1: Establishing the SOC Foundation and Operational Model

Selecting between centralized, decentralized, or hybrid SOC staffing models based on organizational footprint and threat landscape exposure.
Defining escalation paths and incident handoff procedures between Tier 1 analysts, Tier 2 responders, and external incident response teams.
Integrating the SOC with existing ITIL-based service management processes for ticketing, change control, and problem management.
Determining shift coverage requirements (24/7 vs. business hours) based on regulatory mandates and critical system availability.
Establishing physical and logical access controls for SOC workstations, including privileged access management (PAM) integration.
Documenting and version-controlling runbooks for common monitoring and alerting scenarios using standardized templates.

Module 2: Log Source Onboarding and Telemetry Normalization

Validating log schema compatibility between source systems (e.g., firewalls, EDR, cloud platforms) and the SIEM parser requirements.
Configuring secure log transport using TLS-encrypted syslog or API-based ingestion to prevent tampering in transit.
Assessing log volume and retention needs per data source to optimize storage costs and forensic readiness.
Mapping raw event fields to a common information model (e.g., CEF, LEEF) for cross-platform correlation.
Implementing log source health monitoring to detect gaps in collection due to network outages or agent failures.
Negotiating data sharing agreements with third-party vendors to obtain logs from managed services or SaaS platforms.

Module 3: SIEM Architecture and Rule Development

Designing correlation rules with thresholds and time windows that balance detection sensitivity and false positive rates.
Implementing suppression logic for known benign activities (e.g., scheduled patching, backup jobs) to reduce alert fatigue.
Version-controlling detection rules in a Git repository to enable peer review and rollback capabilities.
Validating rule performance impact on SIEM indexing and search latency under peak load conditions.
Creating custom parsers for non-standard log formats before enabling correlation logic.
Documenting the business justification and MITRE ATT&CK mapping for each active detection rule.

Module 4: Threat Detection Engineering and Analytics

Integrating threat intelligence feeds (e.g., STIX/TAXII) with automated indicator ingestion and confidence scoring.
Developing behavioral baselines for user and entity activity using UEBA to detect anomalies in access patterns.
Building custom YARA rules to identify malware artifacts in endpoint memory dumps and file system scans.
Deploying decoy assets (e.g., honeypots, honeytokens) to detect lateral movement and attacker reconnaissance.
Validating detection coverage against the MITRE ATT&CK framework to identify defensive gaps.
Conducting purple team exercises to test detection efficacy and tune analytics logic based on red team TTPs.

Module 5: Incident Triage and Response Orchestration

Classifying alerts using a standardized severity matrix that incorporates exploitability, asset criticality, and data exposure.
Initiating automated containment actions (e.g., disabling user accounts, blocking IPs via firewall APIs) within approved playbooks.
Preserving chain of custody for forensic artifacts collected during triage for potential legal proceedings.
Coordinating communication with legal, PR, and executive teams during confirmed data breach scenarios.
Using SOAR platforms to standardize response workflows across phishing, ransomware, and insider threat incidents.
Documenting incident timelines with UTC timestamps and evidence references for post-incident review.

Module 6: Continuous Monitoring and Performance Optimization

Monitoring SIEM parser failure rates and tuning field extractions to reduce data loss.
Adjusting alert thresholds based on historical baselines to adapt to changing network behavior.
Conducting quarterly log source reviews to deactivate unused or low-value data feeds.
Measuring mean time to detect (MTTD) and mean time to respond (MTTR) across incident categories.
Optimizing SIEM search queries for performance during high-volume investigations.
Rotating and archiving encryption keys used for log transport and storage per organizational key management policy.

Module 7: Compliance, Reporting, and Governance

Generating audit-ready reports for regulatory frameworks (e.g., PCI DSS, HIPAA, GDPR) with predefined data fields.
Implementing role-based access controls in the SIEM to enforce segregation of duties for analysts and administrators.
Conducting quarterly access reviews for SOC personnel to validate ongoing authorization needs.
Archiving raw logs and incident records in write-once, read-many (WORM) storage to meet legal hold requirements.
Documenting exceptions to monitoring policies with risk acceptance approvals from data owners.
Providing executive dashboards that highlight threat trends, detection efficacy, and resource utilization without technical jargon.

Module 8: Threat Hunting and Proactive Defense

Scheduling regular hypothesis-driven hunts based on emerging threat intelligence or internal risk assessments.
Using endpoint query tools (e.g., Velociraptor, Osquery) to collect process, registry, and network artifacts at scale.
Correlating findings from memory analysis with disk-based indicators to confirm persistence mechanisms.
Developing custom Sigma rules to translate detection logic across multiple SIEM platforms.
Integrating passive DNS and netflow data to identify command-and-control communication patterns.
Reporting hunting outcomes with actionable recommendations for detection rule updates or configuration hardening.