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Bike4Mind Security Incident Response Plan

1. Incident Response Team Structure

RoleResponsibilityPrimary ContactSecondary Contact
Incident CommanderCoordinates response, makes critical decisionsCTOLead Developer
Technical LeadLeads investigation and containmentLead Security EngineerDevOps Lead
Communications LeadManages internal/external communicationsProduct ManagerCEO
Legal CounselAdvises on legal obligationsLegal Firm (TBD)General Counsel
Forensic SpecialistConducts detailed investigationExternal Partner (TBD)Security Engineer
Recovery LeadManages recovery operationsDevOps LeadInfrastructure Engineer

2. External Resources

ResourcePurposeContact Information
Forensic Specialist FirmAdvanced investigation[Partner to be selected]
Legal SpecialistCompliance and disclosure guidance[Legal firm to be selected]
AWS SupportInfrastructure assistanceEnterprise Support (establish account contact)
MongoDB Atlas SupportDatabase assistanceTechnical Account Manager (establish contact)
Law EnforcementCriminal investigationFBI Cyber Division: (xxx) xxx-xxxx

3. Incident Classification Matrix

LevelDescriptionExampleResponse TimeNotification
P1 - CriticalActive breach with data exposureActive exfiltration, ransomwareImmediate (24/7)Executive team, legal, affected customers
P2 - HighConfirmed breach, limited scopeCompromised account, limited access< 4 hoursSecurity team, management
P3 - MediumAttempted intrusion, suspicious activityBrute force attempts, unexpected behavior< 8 hoursSecurity team
P4 - LowPolicy violation, minor vulnerabilityMinor config issue, logged anomaly< 24 hoursTeam lead

4. Incident Response Playbooks

4.1 Unauthorized Access Playbook

# Unauthorized Access Response Playbook

## Detection
- Unusual login patterns detected in logs
- Authentication anomalies
- User reports of account compromise
- Suspicious JWT token usage

## Initial Response (0-1 hours)
1. **Assign Incident Commander**
- Notify security team via #security-incidents Slack channel
- Establish communication channels

2. **Assess and Contain**
- Identify affected user account(s)
- Temporarily disable compromised accounts
- Revoke active JWT tokens and API keys
- Review SSO provider logs for OAuth-based accounts

3. **Document Initial Findings**
- Record timeline of events
- Document affected systems
- Create incident ticket in tracking system

## Investigation (1-8 hours)
1. **Gather Evidence**
- Pull auth service logs from CloudWatch
- Export MongoDB activity logs
- Collect API access logs
- Review S3 access logs
- Preserve evidence in dedicated S3 bucket

2. **Determine Access Scope**
- Identify resources accessed
- Determine data potentially compromised
- Review user permissions and group memberships
- Check for privilege escalation

3. **Identify Attack Vector**
- Review authentication logs
- Check for phishing indicators
- Analyze endpoint security logs
- Review code changes for backdoors

## Containment and Eradication (8-24 hours)
1. **Isolate Affected Systems**
- Block suspicious IP addresses
- Rotate affected secrets and credentials
- Reset user passwords

2. **Eliminate Persistence**
- Review cron jobs and scheduled tasks
- Check for unauthorized Lambda functions
- Scan for malicious code in repositories
- Review IAM roles and permissions

3. **Verify Containment**
- Confirm token revocation effectiveness
- Verify logging is capturing all authentication attempts
- Review MongoDB access controls

## Recovery (24-48 hours)
1. **Restore Service**
- Re-enable accounts with new credentials
- Deploy clean environment if necessary
- Implement additional monitoring

2. **Enhance Security Controls**
- Add additional authentication factors if needed
- Review and adjust authorization policies
- Implement additional logging

## Post-Incident (48+ hours)
1. **Document Lessons Learned**
- Hold post-mortem meeting
- Document findings and recommendations
- Update playbook based on experience

2. **Implement Improvements**
- Create tickets for security enhancements
- Schedule follow-up review

4.2 Data Breach Playbook

# Data Breach Response Playbook

## Detection
- Unusual data access patterns
- Data appearing in unauthorized locations
- Customer reports of data leakage
- External notification

## Initial Response (0-1 hours)
1. **Establish Response Team**
- Activate incident response team
- Notify legal counsel immediately
- Establish secure communication channel

2. **Contain the Breach**
- Identify affected systems and data
- Isolate compromised systems where possible
- Revoke access credentials
- Block suspicious IP addresses or users

3. **Preserve Evidence**
- Create forensic copies of affected systems
- Enable additional logging
- Begin chain-of-custody documentation

## Investigation (1-24 hours)
1. **Determine Breach Scope**
- Identify compromised data (PII, confidential)
- Determine affected customers/users
- Estimate timeframe of breach
- Document systems and data involved

2. **Forensic Analysis**
- Engage external forensic partner if needed
- Analyze access logs (MongoDB, S3, API)
- Review network traffic logs
- Examine authentication records

3. **Impact Assessment**
- Classify data sensitivity
- Determine regulatory implications
- Assess potential harm to users
- Document potential business impact

## Notification and Reporting (24-72 hours)
1. **Prepare Communications**
- Draft customer notification with legal counsel
- Prepare internal briefing documents
- Draft regulatory notifications as required
- Prepare public statement if necessary

2. **Execute Notification Plan**
- Notify affected users according to legal requirements
- File required regulatory reports
- Brief executives and board
- Establish customer support response

3. **Document Response Actions**
- Maintain detailed timeline of actions
- Document all communication and decisions
- Preserve all evidence according to retention policy

## Recovery (Ongoing)
1. **Remediate Vulnerabilities**
- Patch systems and close security gaps
- Implement additional security controls
- Verify effectiveness of remediation

2. **Restore Operations**
- Return to normal operations with enhanced monitoring
- Implement additional safeguards
- Conduct security review of related systems

## Post-Incident
1. **Conduct Post-Mortem**
- Review incident timeline and response
- Identify areas for improvement
- Update security controls and policies

2. **Long-term Remediation**
- Implement architectural improvements
- Enhance monitoring and detection capabilities
- Update training and awareness programs

4.3 Infrastructure Compromise Playbook

# Infrastructure Compromise Response Playbook

## Detection
- Unauthorized infrastructure changes
- Unusual resource usage or billing spikes
- Unexpected API calls or Lambda executions
- Security alerts from AWS or monitoring tools

## Initial Response (0-2 hours)
1. **Assess Scope and Impact**
- Identify affected AWS resources
- Determine if production systems are impacted
- Check for data access or exfiltration
- Establish secure communications channel

2. **Immediate Containment**
- Isolate compromised resources
- Rotate AWS access keys
- Review and lock down IAM permissions
- Capture snapshot of current infrastructure state

## Investigation (2-12 hours)
1. **Infrastructure Audit**
- Review CloudTrail logs for unauthorized actions
- Analyze IAM credential usage
- Check for unauthorized resources
- Review network traffic patterns
- Examine S3 bucket access logs

2. **Root Cause Analysis**
- Identify entry point (leaked credentials, etc.)
- Determine attack timeline
- Document attacker activities
- Assess if attack is ongoing

## Containment and Eradication (12-24 hours)
1. **Remove Attacker Access**
- Rotate all credentials
- Update security groups and NACLs
- Remove unauthorized resources
- Check for backdoor accounts or roles

2. **Secure Infrastructure**
- Apply necessary patches
- Update IAM policies
- Implement additional monitoring
- Enhance network security controls

## Recovery (24-48 hours)
1. **Clean Deployment**
- Deploy infrastructure from known clean templates
- Restore data from pre-compromise backups if needed
- Implement improved security controls
- Verify integrity of restored systems

2. **Verify Security Posture**
- Run security scans on new infrastructure
- Verify proper configuration
- Test detection capabilities

## Post-Incident
1. **Improve Security Architecture**
- Update infrastructure-as-code templates
- Enhance monitoring and alerting
- Implement additional security controls
- Update documentation and runbooks

5. Forensic Capabilities

5.1 Logging Requirements

SystemLog DataRetention PeriodStorage Location
MongoDBAuthentication events, Query operations, Schema changes90 daysMongoDB Atlas + Log Archive
AWS CloudTrailAPI calls, Management events365 daysS3 bucket with object lock
Application LogsAuthentication, Authorization decisions, Data access, API usage90 daysCloudWatch Logs → S3 Archive
S3 Access LogsObject-level operations90 daysDedicated logging bucket
JWT Token UsageToken issuance, validation, revocation30 daysApplication DB + Log Archive
Infrastructure ChangesAll deployment actions365 daysCloudTrail + Deployment logs

5.2 Log Security Controls

// Add to sst.config.ts
import * as s3 from 'aws-cdk-lib/aws-s3';

// Create secure logging bucket with immutability
const securityLogsBucket = new s3.Bucket(stack, 'SecurityLogsBucket', {
versioned: true,
encryption: s3.BucketEncryption.S3_MANAGED,
blockPublicAccess: s3.BlockPublicAccess.BLOCK_ALL,
enforceSSL: true,
objectLockEnabled: true, // Enable object lock for compliance
});

// Configure object lock on bucket
new s3.CfnBucketPolicy(stack, 'SecurityLogsBucketPolicy', {
bucket: securityLogsBucket.bucketName,
policyDocument: {
Version: '2012-10-17',
Statement: [
{
Effect: 'Deny',
Principal: '*',
Action: 's3:DeleteObject',
Resource: `${securityLogsBucket.bucketArn}/*`,
},
],
},
});

// Add CloudTrail for comprehensive AWS API logging
const trail = new cloudtrail.Trail(stack, 'SecurityAuditTrail', {
sendToCloudWatchLogs: true,
isMultiRegionTrail: true,
enableFileValidation: true,
includeGlobalServiceEvents: true,
bucket: securityLogsBucket,
retention: 365, // days
});

5.3 Forensic Tools Implementation

// packages/client/server/security/forensics.ts
export const securityTools = {
// Log collection and aggregation tool
collectLogs: async (timeframe: { start: Date; end: Date }, resources: string[]) => {
// Implementation to gather logs from different sources
// and store them in a secure, immutable location
},

// User activity timeline generator
generateUserTimeline: async (userId: string, timeframe: { start: Date; end: Date }) => {
// Collate all user actions across systems
// into a chronological timeline
},

// Authentication audit tool
auditAuthentication: async (timeframe: { start: Date; end: Date }) => {
// Review all authentication events
// Flag unusual patterns or anomalies
},

// Database access analyzer
analyzeDatabaseAccess: async (timeframe: { start: Date; end: Date }) => {
// Review MongoDB access patterns
// Identify unusual queries or access patterns
},

// File access and modification tracker
trackFileAccess: async (s3Path: string, timeframe: { start: Date; end: Date }) => {
// Track all operations on specific S3 objects
// Identify who accessed what and when
}
};

6. Pre-Provisioned Access

6.1 Emergency Access Roles

// Add to sst.config.ts
import * as iam from 'aws-cdk-lib/aws-iam';

// Create emergency responder role
const emergencyResponderRole = new iam.Role(stack, 'EmergencyResponderRole', {
assumedBy: new iam.AccountPrincipal(stack.account), // Within same account
description: 'Role for emergency incident response',
managedPolicies: [
iam.ManagedPolicy.fromAwsManagedPolicyName('ReadOnlyAccess'),
],
});

// Add specific permissions needed for incident response
emergencyResponderRole.addToPolicy(
new iam.PolicyStatement({
effect: iam.Effect.ALLOW,
actions: [
'logs:StartQuery',
'logs:GetQueryResults',
'cloudtrail:LookupEvents',
's3:GetObject',
's3:ListBucket',
'config:GetResourceConfigHistory',
],
resources: ['*'],
})
);

// Create forensic analyst role with more privileges
const forensicAnalystRole = new iam.Role(stack, 'ForensicAnalystRole', {
assumedBy: new iam.AccountPrincipal(stack.account),
description: 'Role for forensic investigation',
managedPolicies: [
iam.ManagedPolicy.fromAwsManagedPolicyName('SecurityAudit'),
],
});

// Add specific forensic capabilities
forensicAnalystRole.addToPolicy(
new iam.PolicyStatement({
effect: iam.Effect.ALLOW,
actions: [
'ec2:CreateSnapshot',
'ec2:CreateImage',
'ec2:DescribeSnapshots',
'ec2:DescribeImages',
's3:PutObject',
's3:PutObjectLegalHold',
's3:PutObjectRetention',
],
resources: ['*'],
})
);

6.2 External Partner Access Process

# External Partner Access Process

## Prerequisites
1. Signed Incident Response Agreement
2. Signed Non-Disclosure Agreement
3. Partner contact details registered in emergency contacts

## Access Provisioning Steps
1. Incident Commander initiates partner engagement
2. DevOps creates temporary IAM user for external partner
3. Partner-specific role is assigned with time-limited credentials
4. Access information is securely shared via encrypted communication
5. Partner access is monitored via CloudTrail
6. Upon incident closure, all temporary access is revoked

## Emergency Access Contacts
- AWS Account Admin: [NAME] - [CONTACT]
- MongoDB Atlas Admin: [NAME] - [CONTACT]
- GitHub Organization Admin: [NAME] - [CONTACT]

7. Simulation and Training Program

7.1 Game Day Scenarios

ScenarioDescriptionFrequencyParticipants
Credential LeakSimulation of AWS access key posted to GitHubQuarterlySecurity team, DevOps
Data BreachSimulation of customer data exposedSemi-annuallyFull response team, Legal
Ransomware AttackSimulation of data encryption and ransom demandAnnuallyFull response team, Executive team
Insider ThreatSimulation of malicious actions by employeeAnnuallySecurity team, HR, Legal
Supply Chain AttackSimulation of compromised dependencyQuarterlyDevelopment team, Security team

7.2 Game Day Implementation

// packages/scripts/security-gameday.ts
export async function runSecurityGameDay(scenario: string) {
// Implementation of security game day automation
switch(scenario) {
case 'credential-leak':
await simulateCredentialLeak();
break;
case 'data-breach':
await simulateDataBreach();
break;
case 'ransomware':
await simulateRansomware();
break;
// Additional scenarios
}
}

async function simulateCredentialLeak() {
// Create test AWS key with monitoring
// Generate CloudTrail events for suspicious activity
// Notify security team to respond
}

async function simulateDataBreach() {
// Create test user and data
// Generate suspicious access patterns
// Inject indicators of compromise in logs
}

7.3 Training Schedule

TrainingAudienceFrequencyFormat
IR Plan ReviewAll technical staffQuarterlyWorkshop
Security ResponseIR TeamSemi-annuallyTabletop exercise
Forensic ToolsSecurity TeamQuarterlyHands-on lab
Customer CommunicationLeadership, CommsAnnuallyRole play
External Partner CoordinationIR Team LeadersAnnuallyJoint exercise

8. Learning Framework

8.1 Post-Incident Analysis Template

# Security Incident Post-Mortem

## Incident Summary
- Incident ID: [ID]
- Date/Time: [DATETIME]
- Duration: [DURATION]
- Severity: [SEVERITY]
- Incident Commander: [NAME]
- Affected Systems: [SYSTEMS]
- Impact: [IMPACT]

## Timeline
- [TIMESTAMP]: Initial detection
- [TIMESTAMP]: Response team activation
- [TIMESTAMP]: Containment measures implemented
- [TIMESTAMP]: Root cause identified
- [TIMESTAMP]: Recovery completed
- [TIMESTAMP]: Incident closed

## Root Cause Analysis
- What happened:
- Why it happened:
- How it was detected:
- Why detection took that long:
- Contributing factors:

## Response Assessment
- What went well:
- What could be improved:
- Tools or resources that were missing:
- Unexpected challenges:

## Action Items
| Action | Owner | Priority | Due Date | Status |
|--------|-------|----------|----------|--------|
| [ACTION] | [OWNER] | [PRIORITY] | [DATE] | [STATUS] |

## Preventive Measures
- Technical controls:
- Process improvements:
- Policy updates:
- Training needs:

## Lessons Learned
- Key takeaways:
- Changes to IR plan:
- Information sharing recommendations:

8.2 Security Knowledge Base

// packages/client/server/security/knowledgeBase.ts
interface SecurityIncident {
id: string;
date: Date;
type: string;
severity: 'low' | 'medium' | 'high' | 'critical';
summary: string;
rootCause: string;
mitigations: string[];
lessonsLearned: string[];
relatedIncidents: string[];
}

export class SecurityKnowledgeBase {
// Methods to store and retrieve past incidents
// Build searchable database of security knowledge
// Track implementation of post-incident action items
// Generate trend reports and analytics
}

9. Pre-Deployed Tools

9.1 Security Toolkit

// packages/client/server/security/toolkit.ts
export const securityToolkit = {
// Network analysis tools
network: {
captureTraffic: async (params) => {/* Implementation */},
analyzeConnections: async (params) => {/* Implementation */},
blockIP: async (ip: string) => {/* Implementation */},
},

// System analysis tools
system: {
checkProcesses: async (params) => {/* Implementation */},
analyzeMemory: async (params) => {/* Implementation */},
captureSnapshot: async (resourceId: string) => {/* Implementation */},
},

// User management tools
users: {
listActiveSessions: async () => {/* Implementation */},
terminateSession: async (sessionId: string) => {/* Implementation */},
revokeAllTokens: async (userId: string) => {/* Implementation */},
resetCredentials: async (userId: string) => {/* Implementation */},
},

// Database tools
database: {
auditCollections: async () => {/* Implementation */},
rollbackChanges: async (params) => {/* Implementation */},
queryAuditLog: async (params) => {/* Implementation */},
},

// File analysis tools
files: {
scanForSensitiveData: async (params) => {/* Implementation */},
compareVersions: async (params) => {/* Implementation */},
secureDelete: async (params) => {/* Implementation */},
}
};

9.2 Security Dashboard

Create a dedicated security dashboard for incident response:

// packages/client/app/components/admin/SecurityDashboard.tsx
import React, { useEffect, useState } from 'react';
import { Box, Card, Container, Grid, Stack, Typography } from '@mui/joy';
import { SecurityIncidentsList } from './SecurityIncidentsList';
import { SecurityMetricsPanel } from './SecurityMetricsPanel';
import { SecurityAlertsFeed } from './SecurityAlertsFeed';
import { LogAnalysisPanel } from './LogAnalysisPanel';
import { ResponseToolsPanel } from './ResponseToolsPanel';

export default function SecurityDashboard() {
// Dashboard implementation with:
// - Real-time security alerts
// - Active incident tracking
// - Quick access to response tools
// - Log analysis capabilities
// - System health monitoring
return (
<Container>
<Typography level="h1">Security Operations</Typography>
<Grid container spacing={2}>
{/* Dashboard components */}
</Grid>
</Container>
);
}

10. Implementation Plan (80/20 Focus)

Day 1: Foundation

  1. Document incident response team structure and roles
  2. Create initial incident classification matrix
  3. Develop first playbook (unauthorized access)
  4. Document immediate response procedures

Day 2: Capabilities

  1. Configure enhanced security logging
  2. Set up secure log storage with immutability
  3. Create emergency access roles
  4. Implement key security monitoring tools

Day 3: Training & Testing

  1. Document game day scenarios
  2. Create post-incident analysis template
  3. Schedule first training sessions
  4. Implement core security dashboard

Conclusion

This security incident response plan provides a comprehensive framework for detecting, responding to, and recovering from security incidents at Bike4Mind. By implementing this plan with the 80/20 focus areas, the organization will establish the critical capabilities needed to effectively respond to security events while continuing to enhance those capabilities over time.

The plan aligns with AWS Well-Architected framework requirements and industry best practices, providing clear roles, responsibilities, and procedures for various incident types. The pre-deployed tools and forensic capabilities ensure the team has the resources needed to investigate and remediate security incidents quickly and thoroughly.

Regular testing through game days and a commitment to continuous improvement through the learning framework will help keep the security posture strong as the threat landscape evolves.