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Incident Response Plan

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• Best Practices

Overview

Structured approach to detecting, responding to, containing, and recovering from security incidents with comprehensive playbooks and automation.

When to Use

• Security breach detection
• Data breach response
• Malware infection
• DDoS attacks
• Insider threats
• Compliance violations
• Post-incident analysis

Quick Start

Minimal working example:

# incident_response.py
from dataclasses import dataclass, field
from typing import List, Dict, Optional
from enum import Enum
from datetime import datetime
import json

class IncidentSeverity(Enum):
    CRITICAL = "critical"  # P1 - Business critical
    HIGH = "high"          # P2 - Major impact
    MEDIUM = "medium"      # P3 - Moderate impact
    LOW = "low"            # P4 - Minor impact

class IncidentStatus(Enum):
    DETECTED = "detected"
    INVESTIGATING = "investigating"
    CONTAINED = "contained"
    ERADICATED = "eradicated"
    RECOVERED = "recovered"
    CLOSED = "closed"

class IncidentType(Enum):
    DATA_BREACH = "data_breach"
    MALWARE = "malware"
    UNAUTHORIZED_ACCESS = "unauthorized_access"
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide	Contents
Incident Response Framework	Incident Response Framework
Node.js Incident Detection & Response	Node.js Incident Detection & Response

Best Practices

✅ DO

• Maintain incident response plan
• Define clear escalation paths
• Practice incident drills
• Document all actions
• Preserve evidence
• Communicate transparently
• Conduct post-incident reviews
• Update playbooks regularly

❌ DON'T

• Panic or rush
• Delete evidence
• Skip documentation
• Work in isolation
• Ignore lessons learned
• Delay notifications