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How to Automate Periodic Reviews of Incident and Threat Management Using SIEM and Workflows — Essential Cybersecurity Controls (ECC – 2 : 2024) - Control - 2-13-4

Automate periodic reviews of incident and threat management with SIEM + workflow orchestration to meet ECC 2-13-4 compliance, reduce dwell time, and provide auditable evidence.

March 27, 2026
4 min read

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Control 2-13-4 of the Essential Cybersecurity Controls (ECC – 2 : 2024) requires periodic reviews of incident and threat management programs; automating those reviews using your SIEM and workflow tools transforms a manual, error-prone compliance activity into a repeatable, auditable, and efficient process that improves security posture while providing evidence for auditors.

Why automation is required by Compliance Framework for Control 2-13-4

The Compliance Framework emphasizes not only having incident and threat management policies, but also conducting periodic reviews that validate detection, response, and remediation effectiveness. Manual reviews are slow, inconsistent, and hard to prove to auditors. Automating periodic reviews ensures coverage (every alert type, every critical asset), generates immutable logs of review actions, and produces metrics required by auditors under Control 2-13-4 (e.g., frequency of reviews, findings, remediation status).

Practical implementation approach — SIEM + Workflow orchestration

Start by mapping required review items from the Compliance Framework to SIEM telemetry. Typical items include: high-severity incidents closed in the last period, unresolved critical alerts, incidents with high dwell time, and changes to detection rules. Create saved searches/correlation rules to emit review tickets on a schedule (weekly for active incidents, monthly for rule tuning, quarterly for program-level review). For example, in Splunk use a saved search with cron schedule: 0 2 * * MON that runs a search for "severity=high NOT status=closed" and triggers a webhook to your workflow/orchestration system.

Example queries and alert actions

Concrete SIEM examples: an Elastic (Kibana) KQL example to find critical unresolved incidents: "event.dataset:security_alert and severity:critical and NOT incident.status:closed and @timestamp >= now-30d". In Splunk SPL: search index=alerts severity=high NOT status=closed | stats count by rule_name, asset. Configure result action to POST to your SOAR (Cortex XSOAR, Siemplify), TheHive, or to a lightweight workflow in Zapier/Power Automate for small shops. The webhook payload should include incident ID, rule, asset, owner, timestamps, and link to raw evidence.

Designing the review workflow (small business example)

For a small business (50 employees, limited staff), keep the workflow lightweight but auditable: 1) Scheduled SIEM job opens review tasks weekly and monthly; 2) Tasks assigned to SOC owner or outsourced provider; 3) Each task includes checklist items: verify alert validity, update incident status, capture root cause, confirm remediation, attach artifacts (PCAP, logs, screenshots); 4) If remediation incomplete, automatically escalate and set SLA; 5) Generate a summary report and store evidence in a secure repository (S3 with object lock or your GRC evidence store). Use affordable tools: Wazuh + TheHive, Elastic + ElastAlert + simple Git-backed evidence repository, or Splunk + Phantom for more automation.

Technical controls and automation details

Implement role-based access for workflow approvals and enable cryptographic integrity for audit evidence. Use API tokens scoped to read/execute search and create tasks. Enable SIEM retention policy to preserve raw logs for the review window defined in Compliance Framework (e.g., 1 year). Instrument the workflow to emit a tamper-evident audit trail (timestamped events, unique task IDs) and export CSV/JSON reports for quarterly compliance attestations. Build health checks: ensure scheduled searches run successfully, webhook response is 2xx, and task completion rate is tracked in a dashboard.

Compliance tips, metrics and best practices

Define review frequency in your control policy aligned with risk: weekly for active critical incidents, monthly for medium-priority, quarterly for program reviews. Track KPIs required by auditors: % reviews completed on schedule, average time-to-review, % incidents re-opened after review, and findings remediated within SLA. Maintain versioned playbooks — any changes to playbooks must go through change control and be captured in the evidence package. Keep one-click exportable reports for auditors containing the SIEM query, run time, list of items reviewed, reviewer names, closure notes, and attachments.

Risks of not implementing automation for Control 2-13-4

Failing to automate periodic reviews increases risk in multiple ways: inconsistent coverage (missed escalation of recurring incidents), long dwell times due to slow human review cycles, inability to prove compliance because evidence is fragmented or missing, and higher operational cost due to manual effort. For small businesses this can mean regulatory fines, loss of customer trust, or a breach that could have been prevented with timely review and remediation.

Implementing automation also reduces false positives by surfacing metrics that drive rule tuning. Example: a retail small business found a repeated pattern of a firewall rule generating 150 weekly alerts; automated review highlighted the noise and prompted a rule refinement, saving SOC analyst hours and improving focus on true threats.

Summary: To satisfy ECC Control 2-13-4 under the Compliance Framework, design scheduled SIEM searches that feed a workflow engine or ticketing system, enforce a documented checklist for reviewers, capture immutable evidence, measure KPIs, and apply change control to playbooks. Start small — schedule a weekly critical-incident review job, integrate it with a lightweight workflow, and expand coverage as you stabilize the process; this approach provides auditable, repeatable evidence for compliance while materially improving your incident and threat management program.

 

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