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How to Implement Threat Detection and Logging for Essential Cybersecurity Controls (ECC – 2 : 2024) - Control - 2-13-3 Using SIEM and EDR

Step-by-step guidance for meeting ECC 2-13-3: implement SIEM and EDR to collect, detect, and log security events across your environment while satisfying Compliance Framework requirements.

April 21, 2026
5 min read

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This post explains practical, actionable ways to implement Control 2-13-3 from the Essential Cybersecurity Controls (ECC – 2 : 2024) within the Compliance Framework: how to combine SIEM and EDR technologies to collect required logs, detect threats, and produce auditable evidence for compliance and incident response.

Understanding Control 2-13-3 and what the Compliance Framework expects

Control 2-13-3 requires organizations to detect malicious activity and maintain logs that support detection, investigation, and reporting. In Compliance Framework language this means: centralized collection of security telemetry, persistent storage for a defined retention period, actionable detection rules, evidence of EDR coverage on endpoints, and an operational process for triage and escalation. The goal is timely detection (short MTTD), forensics-ready logging, and demonstrable controls for auditors.

Key objectives and implementation notes

Key objectives are: (1) ensure endpoint coverage by an EDR agent on all managed hosts, (2) centralize logs and security events into a SIEM or log analytics platform, (3) implement a set of baseline detection rules and correlation logic, (4) retain logs for the retention period stated by policy, and (5) provide documented playbooks for triage. Implementation notes for small organizations under the Compliance Framework include using cloud-managed SIEM/EDR if you lack a SOC, prioritizing high-value log sources (endpoints, domain controllers, AD logs, VPN, mail/cloud app logs, perimeter devices), and proving the pipeline works with test cases and capture evidence for audits.

Practical SIEM implementation details (collection, normalization, retention)

Start by enumerating log sources and creating a log map: endpoints (EDR events), Active Directory (authentication and Group Policy changes), firewalls/proxies, VPN, cloud services (Azure/AWS/GCP audit logs), email security, and critical servers (web, DB). For each source define collection method: agent (Windows Event Forwarding, log forwarder), syslog (network devices), or API connectors (cloud logs, Office365/M365). Configure time sync (NTP) across all systems and ensure logs are sent in near real time (ideally <1 minute). In the SIEM, implement parsing/normalization to a canonical schema so correlation rules can operate across sources. Define retention policy aligned to Compliance Framework (for many small businesses 6–12 months is common; adjust per policy) and store immutable or tamper-evident copies (WORM or write-once buckets, or append-only log stores) to satisfy auditability.

EDR deployment and configuration specifics

Deploy a modern EDR agent to all endpoints (Windows, macOS, Linux) and critical servers: choose an EDR that provides process creation, command line, parent/child process relationships, script engine events, network connections, file modifications, and registry changes. Configure EDR to forward telemetry (alerts and raw events) to the SIEM via native connector or syslog/HTTPS. Tune EDR policy: ensure behavioral blocking is enabled where acceptable, quarantine and isolation capabilities are tested, and automatic remediation rules are controlled with staged rollout (monitor-only → warn → block). For small businesses, consider consolidated endpoint management (e.g., Microsoft Defender for Business + Sentinel connector, CrowdStrike + cloud SIEM) to reduce operational overhead.

Detection engineering: rules, use-cases, and correlation examples

Create a prioritized detection catalog mapped to business risk and compliance requirements. Example detections: (1) lateral movement — correlation of failed/successful logon anomalies on multiple hosts with new service creation events from EDR; (2) credential theft — abnormal NTLM/kerberos patterns + suspicious process spawning (mimikatz indicators); (3) data exfiltration — large outbound transfers combined with unusual process initiating network connections; (4) cloud compromise — new admin API activity from an unknown IP + disabled MFA. Implement rule logic in the SIEM that combines EDR process telemetry, AD auth logs, and firewall flows. Include thresholds and whitelists for known admin activity to reduce false positives. Log the rule hit, include the raw event IDs, and generate an incident object with enriched context (user, host, process hash, file path, network artifact) for investigations and for Compliance Framework evidence.

Small business rollout example and step-by-step plan

Example: a 50-person company with Office365, 10 Windows servers, and 80 endpoints. Step 1: do an inventory and enable time sync. Step 2: pick an integrated stack (Microsoft Defender for Business + Defender for Cloud + Sentinel or Elastic Cloud + open-source EDR such as Osquery + a managed EDR). Step 3: deploy EDR to a pilot group (10 endpoints) and verify telemetry in SIEM within 24 hours. Step 4: onboard AD logs, firewall, and Office365 via connectors and validate event parsing. Step 5: implement 10 core detections (privilege escalation, RDP brute force, suspicious PowerShell, lateral movement, known malicious hashes). Step 6: define retention (e.g., 12 months) and configure immutable backup of logs. Step 7: document triage playbooks and run a table-top incident to produce evidence and tune false positives. Use inexpensive cloud SIEM tiers or MSSP if internal resources are limited.

Compliance tips, best practices, and risks of non‑implementation

Best practices: instrument as much telemetry as feasible (EDR, AD, mail, cloud), enforce least-privilege and MFA to reduce noisy detections, maintain an evidence trail (who changed rules, when alerts were triaged), and schedule quarterly detection rule reviews and annual retention policy reviews. Track metrics (endpoint coverage %, MTTD, MTTR, number of detections, false positive rate) to show continuous improvement. Risks of not implementing Control 2-13-3 include increased dwell time for attackers, loss of forensic capability, failure to meet compliance audits (leading to fines or contractual penalties), and inability to detect lateral movement or exfiltration — all of which materially increase breach cost and business disruption.

In summary, meeting ECC Control 2-13-3 under the Compliance Framework is achievable for small and medium organizations by combining a properly configured SIEM and comprehensive EDR coverage, mapping log sources, normalizing events, implementing prioritized detection rules, and documenting retention and triage processes; follow a phased rollout, tune detections against business activity, and maintain auditable evidence to satisfy both security and compliance objectives.

 

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