Log Lifecycle and Compliance
Topics
Log data lifecycle management, retention policies, capacity planning, and regulatory compliance.
Log Management Plan
Overview
Log Management Plan is the foundation of EnergyLogserver SIEM responsible for managing the complete lifecycle of log data. This chapter focuses on business processes of log management, while technical configuration details can be found in the Configuration chapter, and the user interface in SIEM Plan.
What is a Log Management Plan?
Log Management Plan defines how long, where, and in what manner log data is stored in the EnergyLogserver SIEM system. It’s equivalent to an “archival policy” known from traditional document management systems, but adapted for cybersecurity needs.
Simplified explanation:
What it is: Automated log lifecycle management system
How it works: You define rules, the system automatically manages data
What it’s for: Cost optimization, compliance, system performance
Key Benefits
🏢 Business Benefits:
Cost control: Automatic migration of old data to cheaper storage tiers
Compliance: Automatic enforcement of retention periods required by regulations
Performance optimization: Fast access to current data, archival of old data
Security Benefits:
Long-term investigations: Access to historical security data
Forensics: Ability to analyze incidents from months/years ago
Audit trail: Immutable traces for compliance processes
Log Lifecycle
Lifecycle Stages
EnergyLogserver SIEM manages logs in 4 stages:
[Ingestion] → [Hot Storage] → [Warm Storage] → [Cold Storage] → [Archive] ↓ ↓ ↓ ↓ ↓ Real-time 0-30 days 30-180 days 180-730 days 730+ days Processing (SSD, fast) (Hybrid, ok) (HDD, slow) (Tape, offline)
1. Ingestion (Collection)
Time: Real-time
Purpose: Immediate processing and analysis
Storage: Memory buffers, temporary queues
Characteristics: Highest performance, lowest latency
2. Hot Storage (Active Data)
Time: 0-30 days (configurable)
Purpose: Active monitoring, real-time alerting, dashboards
Storage: High-performance SSD arrays
Characteristics:
Sub-second query response times
Full-text search capabilities
Complete data enrichment
All SIEM features available
3. Warm Storage (Recent Historical)
Time: 30-180 days (configurable)
Purpose: Recent investigations, compliance reporting, trend analysis
Storage: Hybrid SSD/HDD or high-capacity NVMe
Characteristics:
1-5 second query response times
Compressed data format
Reduced indexing granularity
Core SIEM features available
4. Cold Storage (Long-term Historical)
Time: 180-730 days (configurable)
Purpose: Long-term forensics, regulatory compliance
Storage: High-capacity HDD arrays or object storage
Characteristics:
10-60 second query response times
Highly compressed format
Minimal indexing
Basic search capabilities
5. Archive (Deep Storage)
Time: 730+ days (configurable)
Purpose: Legal hold, regulatory compliance, disaster recovery
Storage: Tape libraries, cloud archive, immutable storage
Characteristics:
Minutes to hours restore time
Maximum compression
Write-once, read-many (WORM) compliance
Manual retrieval process
Automatic Lifecycle Transitions
Policy-Driven Movement: EnergyLogserver SIEM automatically moves data between tiers based on:
Time-based rules: Age of the log entry
Data classification: Criticality and sensitivity levels
Source priority: Critical systems vs. low-priority devices
Compliance requirements: Regulatory retention mandates
Storage capacity: Automatic cleanup when thresholds reached
Example Transition Flow:
Security Event (Critical) → Hot Storage (60 days) → Warm Storage (365 days) → Archive (7 years) Network Flow (Normal) → Hot Storage (7 days) → Cold Storage (90 days) → Delete Application Log (Low) → Warm Storage (30 days) → Delete
Retention Policies
Policy Categories
1. Security Event Logs
Critical Security Events: 7 years minimum
Authentication Logs: 2 years minimum
Network Security: 1 year minimum
Endpoint Security: 6 months minimum
2. Infrastructure Logs
System Logs: 1 year
Application Logs: 6 months
Network Flow: 90 days
Performance Metrics: 30 days
3. Compliance-Driven Retention
Financial Services (SOX): 7 years
Healthcare (HIPAA): 6 years
Government (FISMA): 3-7 years
GDPR (EU): Data minimization principle
Configurable Parameters
Per Data Source:
Minimum retention period
Maximum retention period
Storage tier allocation
Compression settings
Backup requirements
Per Event Type:
High-priority events (longer retention)
Normal events (standard retention)
Low-priority events (shorter retention)
Exclusion rules (immediate deletion)
Capacity Management
Storage Planning
Calculation Framework
Daily Ingestion Volume × Retention Days × Compression Ratio = Required Storage
Example Calculation:
1 TB/day × 365 days × 0.3 compression = 109.5 TB annual requirement
Tier Allocation Guidelines
Hot Storage (High Performance):
5-10% of total storage capacity
Recent 30 days of critical data
Over-provision by 20% for peak loads
Warm Storage (Balanced):
20-30% of total storage capacity
30-180 days of data
Hybrid storage for cost optimization
Cold Storage (High Capacity):
60-70% of total storage capacity
180+ days of data
High-density, cost-effective storage
Capacity Monitoring
Key Metrics:
Daily ingestion rate trends
Storage utilization per tier
Query performance vs. capacity
Cost per GB per tier
Automated Alerts:
Storage utilization > 80%
Ingestion rate anomalies
Performance degradation
Retention policy violations
Compliance and Regulatory Requirements
Regulatory Frameworks
GDPR (General Data Protection Regulation)
Right to erasure: Automated deletion capabilities
Data minimization: Justified retention periods only
Privacy by design: Built-in data protection controls
SOX (Sarbanes-Oxley Act)
7-year retention: Financial data and related security logs
Immutable storage: WORM compliance for audit trails
Access controls: Segregation of duties
HIPAA (Health Insurance Portability and Accountability Act)
6-year retention: Healthcare-related security logs
Encryption: Data at rest and in transit
Audit logging: Who accessed what data when
PCI DSS (Payment Card Industry Data Security Standard)
1-year minimum: Security logs for cardholder data environment
Daily monitoring: Real-time analysis requirements
Secure deletion: Cryptographic erasure capabilities
Compliance Features
Legal Hold:
Suspend automatic deletion for specific data
Litigation support and forensic preservation
Chain of custody documentation
Audit Reporting:
Automated compliance reports
Retention policy compliance verification
Data handling audit trails
Data Classification:
Automatic PII/PHI detection
Retention rule application based on data sensitivity
Redaction and anonymization capabilities
Best Practices
Design Principles
1. Data Classification First
Classify data at ingestion time
Apply appropriate retention policies automatically
Consider privacy and sensitivity levels
2. Performance-Cost Balance
Hot storage for active data only
Aggressive compression for cold data
Tiered storage optimization
3. Automation Over Manual Processes
Policy-driven lifecycle management
Automated capacity planning
Self-healing storage systems
Implementation Guidelines
Storage Architecture
[SSD Tier] → [NVMe Tier] → [HDD Tier] → [Archive Tier] Real-time Recent history Long-term Compliance < 1s response 1-5s response 10-60s response Minutes/hours
Network Considerations
Dedicated storage networks (10GbE+)
Separate management and data planes
Redundant connectivity for availability
Backup and Recovery
3-2-1 backup strategy implementation
Cross-site replication for disaster recovery
Point-in-time recovery capabilities
Monitoring and Maintenance
Daily Operations
Monitor ingestion rates and storage utilization
Verify automatic tier transitions
Check retention policy compliance
Weekly Reviews
Capacity planning analysis
Performance optimization
Cost optimization opportunities
Monthly Assessments
Retention policy effectiveness
Compliance requirement changes
Storage architecture optimization
SIEM Plan Integration
Connection Points
The Log Management Plan integrates with other EnergyLogserver SIEM components:
Configuration Integration
Storage policies defined in Configuration
Index templates and mapping configurations
Data pipeline and enrichment rules
SIEM Plan Coordination
Search and query optimization across tiers
Dashboard performance considerations
Alert and correlation rule efficiency
Analytics Impact
Historical data availability for trending
Long-term baseline establishment
Machine learning model training data
User Experience Considerations
Transparent Operation:
Users shouldn’t need to know which tier data resides in
Automatic query optimization across tiers
Seamless experience regardless of data age
Performance Expectations:
Recent data: Sub-second response times
Historical data: Reasonable wait times with progress indicators
Archive data: Restoration request workflow
Cost Awareness:
Query cost estimates for expensive operations
Data age indicators in search results
Storage tier visibility for administrators
Future Enhancements
Planned Features:
AI-driven capacity planning
Intelligent data tiering based on access patterns
Advanced compression algorithms
Cloud-native storage options
Roadmap Integration:
Machine learning for retention optimization
Automated compliance reporting
Self-optimizing storage systems
Integration with cloud storage providers