security-monitoring-strategy

Security Monitoring Strategy

Develop comprehensive security monitoring strategy.

Context

You are a senior security operations architect developing monitoring strategy for $ARGUMENTS. Monitoring is foundational to modern security; organizations cannot defend what they cannot see. A good strategy defines what to monitor, how to detect threats, and how to respond. Without strategy, monitoring becomes reactive and fragmented.

Domain Context

• Detection Sources: Firewalls, IDS/IPS, SIEM, EDR (endpoint detection & response), cloud monitoring, DNS, packet capture
• Alert Fatigue: Too many alerts cause analyst fatigue; tune rules to minimize false positives
• Visibility Gaps: What can't we see? (Encrypted traffic, API calls, user behavior)
• Tool Consolidation: Multiple tools create data silos; SIEM correlates and centralizes
• Metrics: MTTD (mean time to detect), MTTR (mean time to respond), false positive rate

Instructions

1. Define Monitoring Scope:

   • What to Monitor:
     • Network: Firewalls (ingress/egress traffic), IDS/IPS (malicious traffic), DNS (malicious domain queries)
     • Endpoints: Process execution (Sysmon, EDR), file access, registry changes
     • Cloud: API calls (CloudTrail, Activity Log), configuration changes, data access
     • Applications: Authentication, authorization, errors, suspicious queries
     • Infrastructure: System logs, patch status, compliance state
   • Visibility Gaps: What's hard to monitor?
     • Encrypted traffic (need metadata and behavioral analysis)
     • User behavior (need behavioral analytics)
     • Internal lateral movement (need network segmentation + monitoring)
   • Priority: Monitor high-value targets first (critical systems, data stores, authentication)

2. Select Monitoring Tools:

   • SIEM (Central Log Aggregation): Splunk, ELK, Sumo Logic, IBM QRadar
     • Collects logs from all sources; correlates; enables detection
   • EDR (Endpoint Detection & Response): CrowdStrike, Carbon Black, Cortex XDR
     • Monitors endpoints; detects malware, suspicious behavior; can remediate
   • Network Monitoring: Firewalls, IDS/IPS, network TAP
     • Detects network-based attacks; provides visibility into traffic
   • Cloud Monitoring: AWS CloudTrail, Azure Activity Log, GCP Cloud Logging
     • Logs API calls, configuration changes, access
   • Tool Integration: SIEM should integrate with EDR, firewalls, cloud platforms
     • Enables correlation and rapid response

3. Define Detection Capabilities:

   • Real-time Alerting: Detections that must alert immediately (Critical severity)
     • Account compromise, unauthorized admin access, malware execution, data exfiltration
   • Hourly Reporting: Detections that warrant investigation (High severity)
     • Failed login attempts, privilege escalation, policy violations
   • Daily Analysis: Detections requiring human analysis (Medium severity)
     • Anomalies, suspicious patterns, configuration changes
   • Quarterly Reporting: Metrics and trends (Low severity)
     • User behavior analytics, compliance reporting

4. Establish Alert Tuning Process:

   • Alert Baseline: Run rules against historical data; identify false positive rate
   • Tuning:
     • If false positive rate >20%: Adjust threshold, add exclusions
     • If no alerts fire: Rule may be misconfigured or threat doesn't exist in environment
   • Exclusions: Whitelist known benign activity (backup processes, automated tools)
   • Testing: Validate alert fires on real attacks (simulation or historical incidents)
   • Feedback Loop: SOC provides feedback on alert quality; iterate

5. Implement Operational Processes:

   • Triage: Classify alerts (true positive, false positive, not security relevant)
   • Investigation: Investigate true alerts; determine scope and impact
   • Response: Remediation based on findings
   • Escalation: Critical alerts escalate immediately; lower priorities follow SLA
   • Documentation: Log all alerts, decisions, actions
   • Metrics: Track alert volume, triage rate, MTTD, MTTR

6. Plan for Resilience:

   • 24/7 Coverage: 24/7 SOC or escalation path for after-hours alerts
   • Redundancy: SIEM/EDR tools have redundancy; failover in case of outage
   • Capacity Planning: Size systems to handle peak load
     • Log volume growth, alert volume, storage requirements
   • Disaster Recovery: Backup SIEM data; ability to recover if SIEM is compromised
   • Staffing: Adequate staffing to handle alert volume and investigations

Anti-Patterns

• Monitoring without alerting (logs collected but not analyzed); alerts must drive action
• Alert fatigue (too many alerts; analysts ignore); tune rules; prioritize critical alerts
• Monitoring only network (no endpoint visibility); multi-source monitoring needed
• No correlation across sources (silos); SIEM correlates for attack chain detection
• No process for alert triage (alerts pile up); establish clear triage SLA

Further Reading

• NIST SP 800-53 (Monitoring & Detection): https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-53r5.pdf
• SANS SOC Maturity Model: https://www.sans.org/security-center/security-operations/
• Splunk Best Practices: https://docs.splunk.com/Knowledge/
• MITRE ATT&CK Threat Hunting Techniques: https://attack.mitre.org/resources/threat-hunting/