Incident Response
Overview
The Incident Response system provides automated and manual procedures for handling security incidents in the RAG system. This includes detection, analysis, containment, eradication, and recovery processes.
Incident Response Lifecycle
1. Detection and Analysis
Automated Detection
def detect_security_incident(event):
if event.threat_level == ThreatLevel.CRITICAL:
return create_incident(event)
elif event.threat_level == ThreatLevel.HIGH:
return escalate_incident(event)
else:
return log_event(event)
Threat Analysis
def analyze_threat(event):
analysis = {
'threat_type': event.injection_type,
'confidence': event.confidence,
'patterns': event.detected_patterns,
'impact': assess_impact(event),
'severity': event.threat_level
}
return analysis
2. Containment
Immediate Actions
def contain_incident(incident):
if incident.severity == "critical":
# Immediate containment
block_user(incident.user_id)
increase_monitoring(incident.user_id)
notify_security_team(incident)
elif incident.severity == "high":
# Rapid containment
increase_monitoring(incident.user_id)
notify_security_team(incident)
else:
# Standard containment
log_incident(incident)
User Blocking
def block_user(user_id, duration="temporary"):
if duration == "temporary":
set_temporary_block(user_id, hours=24)
elif duration == "permanent":
set_permanent_block(user_id)
log_user_block(user_id, duration)
3. Eradication
Threat Removal
def eradicate_threat(incident):
# Remove malicious patterns
update_detection_rules(incident.patterns)
# Clean affected systems
clean_user_sessions(incident.user_id)
# Update security measures
enhance_security_controls()
System Cleaning
def clean_system(incident):
# Clear user sessions
clear_user_sessions(incident.user_id)
# Reset user risk scores
reset_user_risk_score(incident.user_id)
# Update security logs
update_security_logs(incident)
4. Recovery
System Restoration
def restore_system(incident):
# Restore normal operations
enable_normal_operations()
# Update security measures
implement_enhanced_security()
# Monitor for recurrence
increase_monitoring_period(incident.user_id)
User Communication
def communicate_with_user(user_id, incident):
message = create_user_communication(incident)
send_user_notification(user_id, message)
if incident.severity in ["high", "critical"]:
schedule_user_education(user_id)
Automated Response Procedures
Critical Threats
def handle_critical_threat(event):
actions = [
"Immediately block all queries from affected users",
"Activate emergency security protocols",
"Notify security team and management",
"Begin forensic analysis of attack vectors",
"Implement additional monitoring",
"Consider system lockdown if necessary"
]
for action in actions:
execute_action(action, event)
High Threats
def handle_high_threat(event):
actions = [
"Block queries from high-risk users",
"Increase monitoring frequency",
"Notify security team",
"Review and update security rules",
"Analyze attack patterns",
"Consider user account suspension"
]
for action in actions:
execute_action(action, event)
Medium Threats
def handle_medium_threat(event):
actions = [
"Increase monitoring for affected users",
"Log detailed security events",
"Review user activity patterns",
"Update security rules if needed",
"Notify security team if pattern continues"
]
for action in actions:
execute_action(action, event)
Escalation Matrix
Immediate Escalation (0 minutes)
- Critical threats
- System compromises
- Data breaches
- Service disruptions
Rapid Escalation (5 minutes)
- High threats
- Multiple attack attempts
- Suspicious user behavior
- Performance issues
Standard Escalation (30 minutes)
- Medium threats
- Pattern analysis
- User complaints
- System anomalies
Delayed Escalation (1 hour)
- Low threats
- Routine monitoring
- User education
- System maintenance
Forensic Analysis
Data Collection
def collect_forensic_data(incident):
data = {
'event_logs': get_event_logs(incident),
'user_activity': get_user_activity(incident.user_id),
'system_logs': get_system_logs(incident),
'network_traffic': get_network_traffic(incident)
}
return data
Timeline Reconstruction
def reconstruct_timeline(incident):
events = get_related_events(incident)
timeline = []
for event in sorted(events, key=lambda x: x.timestamp):
timeline.append({
'timestamp': event.timestamp,
'datetime': datetime.fromtimestamp(event.timestamp),
'threat_level': event.threat_level.value,
'query': event.query[:100] + "..." if len(event.query) > 100 else event.query,
'action_taken': event.action_taken
})
return timeline
Attack Pattern Analysis
def analyze_attack_patterns(incident):
patterns = {}
for event in get_related_events(incident):
for pattern in event.detected_patterns:
patterns[pattern] = patterns.get(pattern, 0) + 1
return patterns
Impact Assessment
def assess_impact(incident):
impact = {
'affected_users': get_affected_users(incident),
'data_exposed': get_exposed_data(incident),
'system_impact': get_system_impact(incident),
'business_impact': get_business_impact(incident)
}
return impact
Incident Reporting
Incident Report Structure
def generate_incident_report(incident):
report = {
'incident_id': incident.incident_id,
'timestamp': incident.timestamp,
'severity': incident.severity,
'title': incident.title,
'description': incident.description,
'affected_systems': incident.affected_systems,
'attack_vector': incident.attack_vector,
'impact_assessment': incident.impact_assessment,
'containment_actions': incident.containment_actions,
'recovery_actions': incident.recovery_actions,
'lessons_learned': incident.lessons_learned,
'status': incident.status,
'assigned_team': incident.assigned_team
}
return report
Executive Summary
def create_executive_summary(incident):
summary = {
'incident_overview': f"Security incident {incident.incident_id} occurred at {incident.timestamp}",
'severity': incident.severity,
'impact': incident.impact_assessment,
'actions_taken': incident.containment_actions,
'current_status': incident.status,
'next_steps': get_next_steps(incident)
}
return summary
Communication Procedures
Internal Communication
Security Team
- Immediate notification for critical incidents
- Detailed technical analysis
- Response coordination
- Status updates
Management
- Executive summary
- Business impact assessment
- Resource requirements
- Decision points
IT Operations
- System status updates
- Technical details
- Recovery procedures
- Maintenance windows
External Communication
Users
- Service status updates
- Security advisories
- Educational content
- Support information
Partners
- Incident notifications
- Security updates
- Compliance reporting
- Best practices sharing
Recovery Procedures
System Recovery
def recover_system(incident):
# Restore normal operations
enable_normal_operations()
# Implement enhanced security
deploy_enhanced_security_measures()
# Monitor for recurrence
increase_monitoring_frequency()
# Update documentation
update_incident_documentation(incident)
User Recovery
def recover_user_access(user_id, incident):
# Verify user identity
verify_user_identity(user_id)
# Reset user risk score
reset_user_risk_score(user_id)
# Provide security education
schedule_user_education(user_id)
# Monitor user activity
increase_user_monitoring(user_id)
Data Recovery
def recover_data(incident):
# Restore from backups
restore_from_backup(incident.affected_systems)
# Verify data integrity
verify_data_integrity()
# Update access controls
update_access_controls()
# Monitor data access
monitor_data_access()
Lessons Learned
Post-Incident Review
def conduct_post_incident_review(incident):
review = {
'incident_summary': incident.description,
'root_cause': identify_root_cause(incident),
'response_effectiveness': assess_response_effectiveness(incident),
'improvements_needed': identify_improvements(incident),
'prevention_measures': recommend_prevention_measures(incident)
}
return review
Process Improvements
def implement_process_improvements(incident):
improvements = [
"Update detection rules based on incident patterns",
"Enhance monitoring capabilities",
"Improve response procedures",
"Strengthen security controls",
"Update training materials"
]
for improvement in improvements:
implement_improvement(improvement)
Training and Drills
Incident Response Training
- Regular training sessions
- Role-based training
- Scenario-based exercises
- Tabletop exercises
Security Drills
def conduct_security_drill():
# Simulate security incident
simulated_incident = create_simulated_incident()
# Test response procedures
response_time = test_response_procedures(simulated_incident)
# Evaluate performance
performance = evaluate_response_performance(response_time)
# Identify improvements
improvements = identify_improvements(performance)
return improvements
Compliance and Legal
Regulatory Requirements
- GDPR compliance
- SOC 2 requirements
- ISO 27001 standards
- Industry regulations
Legal Considerations
- Evidence preservation
- Chain of custody
- Privacy protection
- Disclosure requirements
Documentation Requirements
- Incident logs
- Response procedures
- Evidence collection
- Legal documentation