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Cybersecurity Awareness Training in SOC for Cybersecurity

Cybersecurity Awareness Training in SOC for Cybersecurity

$299.00
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Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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This curriculum spans the design and operation of a mature security operations center, comparable to a multi-workshop program for establishing 24/7 monitoring, detection engineering, and incident response coordination across SIEM, EDR, network, and SOAR systems.

Module 1: Establishing SOC Governance and Operational Frameworks

  • Define escalation paths for incident response based on severity thresholds aligned with NIST SP 800-61.
  • Select and document roles and responsibilities for SOC analysts, incident responders, and escalation managers.
  • Implement a shift-based staffing model to ensure 24/7 monitoring coverage with overlap for knowledge transfer.
  • Integrate SOC operations with existing ITIL change and incident management processes.
  • Establish a formal charter outlining SOC authority, scope, and reporting lines to CISO and executive leadership.
  • Develop service level agreements (SLAs) for mean time to detect (MTTD) and mean time to respond (MTTR).
  • Conduct quarterly tabletop exercises to validate incident response workflows and governance decisions.

Module 2: Threat Intelligence Integration and Prioritization

  • Subscribe to and normalize threat feeds from commercial, open-source, and ISAC partners using STIX/TAXII.
  • Map intelligence to MITRE ATT&CK techniques to contextualize alerts within adversary behavior patterns.
  • Build automated enrichment pipelines to correlate IOCs with internal telemetry from EDR and SIEM.
  • Establish a threat scoring model based on relevance, confidence, and potential business impact.
  • Assign ownership for maintaining threat intelligence use cases and updating detection rules accordingly.
  • Filter out irrelevant IOCs to prevent alert fatigue and reduce noise in detection systems.
  • Conduct biweekly threat landscape reviews with threat hunters and incident responders.

Module 3: SIEM Architecture and Log Source Management

  • Design log retention policies balancing compliance requirements with storage cost and query performance.
  • Standardize log collection formats using Syslog, WEF, or agent-based forwarding across heterogeneous systems.
  • Validate parsing accuracy for critical log sources (e.g., Windows Event Logs, firewall flows, proxy logs).
  • Implement parsing normalization to ensure consistent field naming across vendors and platforms.
  • Establish onboarding checklists for integrating new log sources with validation and alerting baselines.
  • Monitor log source health and detect gaps using heartbeat alerts and volume deviation thresholds.
  • Segment SIEM data access using role-based access control (RBAC) to limit analyst privileges.

Module 4: Detection Engineering and Rule Development

  • Develop detection rules using Sigma or YARA-L syntax for cross-platform SIEM compatibility.
  • Balance sensitivity and specificity in correlation rules to minimize false positives without missing threats.
  • Implement a version-controlled repository (e.g., Git) for detection rule lifecycle management.
  • Conduct peer reviews of new detection logic before deployment to production SIEM.
  • Baseline normal activity to differentiate anomalies from legitimate operational behavior.
  • Use purple teaming results to refine detection coverage for specific adversary tactics.
  • Tag rules with MITRE ATT&CK IDs and data source requirements for coverage gap analysis.

Module 5: Incident Triage and Analysis Workflows

  • Standardize triage checklists for common alert types (e.g., malware beaconing, brute force, lateral movement).
  • Configure automated enrichment actions (e.g., DNS lookups, file hash reputation, user context).
  • Document decision criteria for escalating alerts to Level 2 analysts or incident responders.
  • Integrate SOAR playbooks to automate repetitive triage steps like endpoint isolation or user disablement.
  • Use timeline analysis to sequence events across endpoints, network, and identity systems.
  • Preserve chain of custody for evidence collected during initial analysis for potential legal proceedings.
  • Apply threat context to determine if an incident is isolated or part of a broader campaign.

Module 6: Endpoint Detection and Response (EDR) Operations

  • Configure EDR agents to collect process execution, network connections, and file activity without degrading performance.
  • Define containment policies for automated response actions based on detection confidence levels.
  • Conduct live response investigations using EDR console to collect memory dumps and running processes.
  • Validate EDR sensor coverage across all critical assets and enforce compliance via configuration management.
  • Develop custom detection queries to identify suspicious behaviors not covered by vendor rules.
  • Coordinate with endpoint management teams to patch or reimage compromised systems post-containment.
  • Review EDR alert volume trends to tune detection thresholds and reduce analyst workload.

Module 7: Network Monitoring and Traffic Analysis

  • Deploy network TAPs or span ports to ensure full packet capture for critical network segments.
  • Configure NetFlow collection from firewalls and routers with sufficient sampling rates for visibility.
  • Use Zeek (Bro) or Suricata to generate application-layer metadata from encrypted traffic.
  • Establish baselines for normal traffic patterns to detect C2 beaconing or data exfiltration.
  • Integrate network evidence with SIEM and EDR data to reconstruct attack paths.
  • Manage decryption policies for TLS traffic in accordance with privacy regulations and legal requirements.
  • Monitor DNS query logs for tunneling attempts and connections to known malicious domains.

Module 8: SOC Automation and Orchestration (SOAR)

  • Map repeatable incident response tasks to SOAR playbook capabilities (e.g., phishing email quarantine).
  • Integrate SOAR platform with email security, firewall, and identity providers via APIs.
  • Design playbook decision trees that include human-in-the-loop approvals for high-risk actions.
  • Log all SOAR actions for auditability and post-incident review.
  • Measure automation effectiveness using metrics like time saved and playbook success rate.
  • Conduct regular security reviews of SOAR playbook logic to prevent unauthorized access or misuse.
  • Use sandboxed environments to test playbook updates before production deployment.

Module 9: Continuous Improvement and Metrics Reporting

  • Track key performance indicators (KPIs) such as alert volume, closure rate, and mean time to escalate.
  • Conduct root cause analysis for missed detections or delayed responses using blameless post-mortems.
  • Update detection rules and playbooks based on lessons learned from recent incidents.
  • Benchmark SOC maturity against NIST CSF or CIS Controls to identify capability gaps.
  • Present quarterly metrics to executive leadership focusing on risk reduction and operational efficiency.
  • Rotate analysts through threat hunting and red team exercises to maintain skill sharpness.
  • Conduct third-party SOC assessments to validate detection coverage and response effectiveness.
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