Challenge Enterprises in defence, government, healthcare, and finance operate isolated network segments with zero egress to the public internet. These environments require compliance automation (vulnerability scanning, policy enforcement, evidence collection) but cannot pull container images from public registries, download vulnerability databases, or send telemetry externally. Existing compliance tools assume internet connectivity.
Build a fully offline compliance platform delivered via USB sneakernet or internal mirror, with all dependencies pre-bundled.
May 7, 2026
• Air-Gapped
Offline
FedRAMP
CMMC
PCI DSS
ISO 27001
Defence
Government
K8s Compliance Operator — One-Day Compliance Stack Challenge Kubernetes teams in regulated industries spend 8-16 weeks integrating policy enforcement (Kyverno), runtime security (Falco), network isolation (Calico), secrets management (Vault), and service mesh (Istio) to meet compliance requirements. Each tool requires separate expertise, and maintaining policy coherence across tools is error-prone.
Build a single Helm chart that deploys the entire compliance stack, driven by a ComplianceProfile custom resource that automatically configures all components for the selected framework.
May 7, 2026
• Kubernetes Operator
PCI DSS
SOC 2
NIST CSF
ISO 27001
Policy Enforcement
Runtime Security
Multi-Framework Evidence Graph — One Evidence, Many Frameworks Challenge Compliance teams managing multiple frameworks (SOC 2, PCI DSS, ISO 27001, DORA, NIS2, AI Act) collect redundant evidence for overlapping controls. A single penetration test report might satisfy requirements in 4 different frameworks, but each auditor receives a separate package. Manual mapping is error-prone, and proving evidence integrity during audits requires custom tooling.
Build an evidence repository where one artifact maps to multiple frameworks, with cryptographic integrity proofs and OSCAL-compliant audit package generation.
May 7, 2026
• Evidence Management
SOC 2
PCI DSS
ISO 27001
DORA
NIS2
OSCAL
Audit
Challenge Enterprise security teams need a unified platform to manage compliance assessments, track vulnerabilities, handle incidents, and maintain asset inventories — all with proper multi-tenant isolation for managed service providers. Off-the-shelf GRC tools are expensive, inflexible, and don’t integrate well with cloud-native infrastructure.
Build a production-ready compliance platform with:
Multi-tenant architecture with Row-Level Security Real-time alerts via WebSocket Comprehensive REST API for automation Multiple compliance framework support Solution Architecture Overview ┌─────────────────────────────────────────────────────────────────┐
│ Frontend (React) │
│ Dashboard · Assessments · Incidents · Assets │
└────────────────────────┬────────────────────────────────────────┘
│ HTTPS / WSS
▼
┌─────────────────────────────────────────────────────────────────┐
│ FastAPI Backend │
│ 34+ Endpoints · JWT Auth · RBAC · Multi-tenant Middleware │
└────────────────────────┬────────────────────────────────────────┘
│
┌───────────────┼───────────────┐
▼ ▼ ▼
┌────────────────┐ ┌──────────┐ ┌─────────────────┐
│ PostgreSQL │ │ WebSocket│ │ Audit Logging │
│ + RLS Policies│ │ Manager │ │ (Immutable) │
└────────────────┘ └──────────┘ └─────────────────┘
API Endpoints (34+) Domain Count Key Operations Authentication 6 Login, register, refresh, password change, MFA Compliance 7 Framework list, assessments, reports, gap analysis Threats 4 Catalog, risk matrix, statistics, trends Vulnerabilities 6 List, scan, remediate, severity trends Assets 5 Inventory, topology, tagging, relationships Incidents 5 Lifecycle, actions, timeline, metrics WebSocket 1 Real-time security alerts
Compliance Frameworks Framework Controls Use Case PCI-DSS 4.0 270+ Payment card processing NIST CSF 2.0 6 functions General cybersecurity ISO 27001:2022 93 controls Information security SOC 2 Type II 5 trust criteria Service organization
Key Features 1. Multi-Tenant Architecture # Row-Level Security enforced at database level
class TenantMiddleware :
async def __call__ (self, request, call_next):
tenant_id = extract_tenant(request)
# All queries automatically filtered by tenant
set_tenant_context(tenant_id)
return await call_next(request)
Automatic tenant isolation on every query No cross-tenant data leakage possible Efficient index usage with RLS policies 2. Real-Time Alerts // WebSocket connection for live security events
const ws = new WebSocket ('wss://api.example.com/ws/alerts' );
ws .onmessage = (event ) => {
const alert = JSON .parse (event .data );
// Severity: critical, high, medium, low
if (alert .severity === 'critical' ) {
showNotification (alert );
}
};
3. Compliance Assessment Workflow Assessment Lifecycle:
├── Draft → Configure scope, select controls
├── In Progress → Evidence collection, control testing
├── Review → Findings validation, risk rating
├── Complete → Report generation, remediation tracking
└── Archived → Historical reference
4. Vulnerability Management # Comprehensive vulnerability tracking
class Vulnerability (Base):
cve_id: str # CVE-2024-XXXXX
severity: SeverityEnum # CRITICAL, HIGH, MEDIUM, LOW
cvss_score: float # 0.0 - 10.0
affected_assets: List[Asset]
remediation_status: RemediationStatus
due_date: datetime
sla_breach: bool # Computed from severity + age
Tech Stack Component Technology Purpose API Framework FastAPI 0.109 Async REST API ORM SQLAlchemy (async) Database abstraction Validation Pydantic Request/response schemas Auth JWT + RBAC Authentication & authorization Database PostgreSQL Primary data store + RLS Real-time WebSocket Live alert streaming Testing pytest + coverage Quality assurance
Security Features OWASP Top 10 Protections Threat Mitigation Injection Parameterized queries via SQLAlchemy Broken Auth JWT with short TTL, refresh tokens Sensitive Data AES-256 encryption at rest XXE JSON-only APIs, no XML parsing Broken Access RLS + RBAC enforcement Security Misconfig Security headers middleware XSS Output encoding, CSP headers Insecure Deserialization Pydantic schema validation Vulnerable Components Dependabot, SBOM tracking Insufficient Logging Comprehensive audit trail
Audit Logging # Every state-changing operation logged
@audit_log
async def create_finding (finding: FindingCreate):
# Automatically captures:
# - User ID, tenant ID
# - Timestamp, IP address
# - Before/after state
# - Operation type
return await finding_service. create(finding)
Project Structure src/api/
├── main.py # FastAPI app factory
├── config.py # Environment config
├── middleware/ # Auth, tenant, security
├── routers/ # 34+ endpoint handlers
│ ├── auth.py
│ ├── compliance.py
│ ├── threats.py
│ ├── vulnerabilities.py
│ ├── assets.py
│ └── incidents.py
├── models/ # 15+ SQLAlchemy models
├── services/ # Business logic layer
├── schemas/ # Pydantic validation
└── websocket/ # Real-time alerts
Results & Benefits Technical Achievements Zero SQL injection risk : ORM-only queries with parameterizationComplete tenant isolation : RLS policies at database levelSub-100ms API latency : Async throughout, optimized queries100% type coverage : Pydantic schemas + Python type hintsBusiness Value MSP-Ready : Multi-tenant architecture for managed servicesAutomation-First : Every operation accessible via APICompliance-Mapped : Built-in framework alignmentAudit-Ready : Immutable logging for regulatorsJanuary 21, 2026
• PCI-DSS
NIST CSF
Compliance
Multi-tenant
GRC
Vulnerability Management
Enterprise SIEM Implementation with Wazuh Challenge Implement a comprehensive Security Information and Event Management (SIEM) solution for a fintech payment processing platform to:
Achieve PCI DSS Compliance: Meet Requirements 10 (logging) and 11 (monitoring)Threat Detection: Identify security incidents in real-time across 200+ nodesCompliance Automation: Automate evidence collection for auditsIncident Response: Enable rapid investigation and response to security eventsVisibility: Centralize security monitoring across AWS and KubernetesArchitecture Overview High-Level Design Wazuh Architecture :
Management Layer :
Wazuh Manager Cluster (HA) :
- 3 manager nodes (active-active)
- Load balancing for agent connections
- Shared configuration via cluster sync
- Deployed on AWS EC2 (m5.xlarge)
Data Storage Layer :
OpenSearch Cluster :
- 5 data nodes (m5.2xlarge)
- 2 master nodes (m5.xlarge)
- S3 for snapshot backups
- 90 -day hot retention
- 1 -year cold storage (S3 Glacier)
Agent Layer :
200+ Wazuh Agents :
- EKS worker nodes (100+)
- EC2 instances (80+)
- RDS/Aurora monitoring (indirect via CloudWatch)
- Container-based agents (DaemonSet)
Integration Layer :
AWS Services :
- CloudTrail → S3 → Wazuh ingestion
- VPC Flow Logs → S3 → Wazuh processing
- GuardDuty → EventBridge → Wazuh
- Security Hub → aggregation
- Config → compliance data
- ALB/WAF logs → S3 → analysis
Implementation Details 1. Wazuh Infrastructure Deployment Manager Cluster (High Availability) Deployment :
Platform : AWS EC2 (Auto Scaling Group)
Instance Type : m5.xlarge (4 vCPU, 16 GB RAM)
Count : 3 nodes (active-active cluster)
OS : Ubuntu 22.04 LTS (CIS hardened)
Configuration :
Cluster Communication :
- Wazuh cluster protocol (port 1516)
- Shared configuration synchronization
- Automatic failover
- Load balanced agent connections
Agent Communication :
- Port 1514 : Agent data ingestion
- Port 1515 : Agent enrollment
- TLS encryption enforced
- Certificate-based authentication
API :
- RESTful API (port 55000)
- JWT token authentication
- Integration with automation tools
- Rate limiting enabled
Storage :
- 500 GB EBS gp3 for local buffer
- S3 for long-term archive
- Daily snapshots to S3
OpenSearch Cluster Cluster Design :
Data Nodes :
- Count : 5 nodes
- Instance : m5.2xlarge (8 vCPU, 32 GB RAM)
- Storage : 2 TB EBS gp3 per node
- Purpose : Index and search operations
Master Nodes :
- Count : 2 nodes (quorum)
- Instance : m5.xlarge (4 vCPU, 16 GB RAM)
- Purpose : Cluster state management
Index Management :
Hot Tier (0-30 days) :
- SSD storage (gp3)
- High IOPS for real-time queries
- Daily index rotation
- Replica count : 1
Warm Tier (31-90 days) :
- SSD storage (gp3)
- Reduced replica count
- Force merge for optimization
Cold Tier (91-365 days) :
- S3 storage via snapshots
- Searchable snapshots
- Minimal compute cost
Security :
- TLS 1.3 for all connections
- OpenSearch Security plugin
- Role-based access control (RBAC)
- Audit logging enabled
- VPC private subnet deployment
- Security group restrictions
2. Agent Deployment Strategy Kubernetes (EKS) Agents Deployment Method : DaemonSet
Purpose : One agent per node
Resource Limits :
CPU : 200m request, 500m limit
Memory : 256Mi request, 512Mi limit
Container Configuration :
Image : wazuh/wazuh-agent:4.8.0
Security Context :
- Privileged : true (for host monitoring)
- hostPID : true
- hostNetwork : true
Volumes :
- /var/log → container logs
- /var/ossec → agent data
- /etc/os-release → OS detection
- /var/run/docker.sock → container monitoring
Monitoring Capabilities :
- Container lifecycle events
- Kubernetes audit logs
- Pod security violations
- Node system logs
- File integrity monitoring
- Rootkit detection
EC2 Agents Installation :
Method : Ansible playbook automation
OS Support :
- Amazon Linux 2 / 2023
- Ubuntu 20.04 / 22.04
- CentOS 7 / 8
Enrollment :
- Automated via API
- Certificate-based authentication
- Group assignment by tags
Configuration Profile by Role :
Web Servers :
- Apache/Nginx log monitoring
- Web attack detection
- SSL/TLS monitoring
Database Servers :
- PostgreSQL audit logs
- Failed authentication attempts
- Privilege escalation detection
Application Servers :
- Application log parsing
- API abuse detection
- Performance metrics
3. Security Detection & Rules Custom Rule Development (500+ Rules) Payment-Specific Threats :
PAN Data Access Detection :
- Regex patterns for credit card numbers
- Unauthorized database queries
- File access to cardholder data
- Network transmission of sensitive data
- Alert severity : CRITICAL
Transaction Anomalies :
- Unusual transaction amounts
- Rapid transaction frequency
- Geographic anomalies
- Velocity checks (same card, multiple locations)
- ML-based anomaly detection
Authentication & Access :
Brute Force Detection :
- Failed SSH attempts (5+ in 1 min)
- Failed API authentication (10+ in 5 min)
- Account lockout monitoring
- Distributed brute force detection
Privilege Escalation :
- Sudo usage monitoring
- IAM permission changes
- Role assumption tracking
- Unauthorized service account usage
Web Attacks :
OWASP Top 10 Detection :
- SQL injection attempts
- Cross-Site Scripting (XSS)
- Command injection
- Path traversal
- Insecure deserialization
- XML External Entities (XXE)
API Abuse :
- Rate limiting violations
- Invalid API token usage
- Unusual API endpoints
- Parameter tampering
Data Exfiltration :
Indicators :
- Large data transfers (>100MB)
- Unusual outbound connections
- Database dumps
- SSH/SCP file transfers
- S3 bucket data access anomalies
Integration Rules AWS CloudTrail :
High-Risk Events :
- IAM policy changes
- Security group modifications
- S3 bucket policy changes
- Root account usage
- KMS key deletion attempts
- CloudTrail logging disabled
Compliance Events :
- Encryption disabled on resources
- Public access enabled
- Unencrypted snapshots
- Cross-region resource access
GuardDuty Findings :
- Malware detection
- Cryptocurrency mining
- Backdoor detection
- Unusual API calls
- Compromised credentials
- Data exfiltration attempts
VPC Flow Logs :
- Port scanning detection
- DDoS indicators
- Unusual traffic patterns
- Blocked connection attempts
- Internal lateral movement
4. File Integrity Monitoring (FIM) Monitored Files (10,000+) :
System Files :
Linux :
- /etc/passwd, /etc/shadow
- /etc/ssh/sshd_config
- /etc/sudoers
- /boot/grub/grub.cfg
- Systemd service files
Frequency : Real-time
Actions : Alert + snapshot
Configuration Files :
Application :
- Nginx/Apache configs
- Application .env files
- Database configuration
- SSL certificates
Kubernetes :
- Pod manifests
- ConfigMaps
- Secrets (metadata only)
- Service definitions
Frequency : Real-time
Actions : Alert + backup + change review
Code Directories :
- /var/www/html
- /opt/applications
- Container image layers
Frequency : Scheduled (daily)
Actions : Alert on unauthorized changes
Logs & Audit :
- /var/log/*
- Application log directories
- Audit logs
Frequency : Real-time
Actions : Detect log tampering
FIM Capabilities :
- Real-time change detection
- File checksum (SHA256)
- File attributes (permissions, owner)
- Who-data (who made the change)
- Baseline comparison
- Automated restoration (critical files)
5. Vulnerability Management Vulnerability Detection :
Methods :
- Agent-based scanning
- Package manager integration (apt, yum)
- CVE database correlation
- OVAL definitions
Scan Frequency :
- Critical systems : Daily
- Production servers : Daily
- Non-production : Weekly
- Containers : On image push
Risk-Based Prioritization :
Scoring :
- CVSS base score
- Exploitability (EPSS)
- Asset criticality
- Network exposure
- Data sensitivity
SLA by Severity :
- Critical : 24 hours
- High : 7 days
- Medium : 30 days
- Low : 90 days
Integration :
- Jira ticket creation
- Slack notifications
- Email alerts to teams
- Dashboard for management
- Monthly vulnerability reports
Remediation Tracking :
- Patch deployment via Ansible
- Verification scanning
- Exception management
- Compliance reporting
6. Compliance Automation (PCI DSS) PCI DSS Dashboard (150+ Checks) :
Requirement 1 & 2 : Network & Configuration :
Checks :
- Firewall rules in place
- Default passwords changed
- Unnecessary services disabled
- Configuration standards enforced
Requirement 3 & 4 : Data Protection :
Checks :
- Encryption at rest enabled
- TLS version compliance (1.2+)
- Key rotation schedules
- Sensitive data masking
Requirement 5 & 6 : Malware & Development :
Checks :
- Anti-malware running
- Malware signature updates
- Secure coding practices
- Change management process
Requirement 7 & 8 : Access Control :
Checks :
- Least privilege enforcement
- User access reviews
- MFA enabled
- Password complexity
Requirement 10 : Logging & Monitoring :
Checks :
- Log collection enabled
- Log retention (1 year)
- Clock synchronization (NTP)
- Log integrity protection
- Audit trail completeness
Requirement 11 : Security Testing :
Checks :
- Vulnerability scans completed
- Penetration test schedule
- IDS/IPS operational
- File integrity monitoring
Automated Evidence Collection :
- Daily compliance snapshots
- Configuration backups
- Change logs
- Access reports
- Exception documentation
- Quarterly audit packages
7. Incident Response Integration Active Response :
Automated Actions :
IP Blocking :
- Trigger : 5 + failed SSH attempts
- Action : iptables block for 30 minutes
- Scope : Source IP
Account Lockout :
- Trigger : 10 + failed logins
- Action : Disable account
- Notification : Security team + manager
Container Quarantine :
- Trigger : Malware detected in container
- Action : Kill pod, taint node
- Notification : DevOps + Security
Process Kill :
- Trigger : Cryptocurrency miner detected
- Action : Kill process, block binary
- Forensics : Memory dump
Incident Management :
PagerDuty Integration :
- Critical alerts → immediate page
- High severity → notification
- Escalation after 15 minutes
- 24 /7 SOC coverage
Workflow :
1 . Alert triggered in Wazuh
2 . PagerDuty incident created
3 . On-call engineer notified
4 . Investigation in OpenSearch
5 . Response action (manual/automated)
6 . Incident documentation
7 . Post-incident review
Playbooks :
- Brute force attack response
- Malware infection containment
- Data breach procedure
- DDoS mitigation
- Insider threat investigation
- Compromised credentials
8. Monitoring & Alerting Alert Channels :
Email :
- Daily summary reports
- Critical alerts (immediate)
- Weekly compliance reports
Slack :
- Real-time alerts (high+)
- Compliance violations
- System health issues
PagerDuty :
- Critical security events
- System outages
- Escalation after 15 min
Custom Dashboards :
Security Operations Center (SOC) :
- Real-time event stream
- Alert count by severity
- Top attacked assets
- Geographic threat map
- MITRE ATT&CK mapping
Executive Dashboard :
- Security posture score
- Compliance status (%)
- Incident trends
- Vulnerability metrics
- Cost of incidents
Compliance Dashboard :
- PCI DSS requirement status
- Failed compliance checks
- Remediation progress
- Audit readiness score
Results & Metrics Security Improvements Threat Detection:
├── Security Incidents: 85% reduction (20/month → 3/month)
├── MTTD (Mean Time To Detect): 5 minutes average
├── MTTR (Mean Time To Respond): 30 minutes average
└── False Positive Rate: <10% (continuous tuning)
Visibility:
├── Monitored Nodes: 200+ agents
├── Events Per Day: 500K+ security events
├── Log Sources: 15+ integrated sources
└── Coverage: 100% of CDE infrastructure
Compliance Achievement PCI DSS Level 1 Certification:
├── Audit Result: Zero findings
├── Requirement 10: PASS (Logging & Monitoring)
├── Requirement 11: PASS (Security Testing & Monitoring)
└── Automated Evidence: 150+ compliance checks
Operational Benefits:
├── Audit Preparation: Reduced from 2 weeks to 2 days
├── Evidence Collection: 90% automated
├── Compliance Reporting: Real-time dashboard
└── Audit Cost: Reduced by 60%
Operational Efficiency Alert Investigation: 70% faster with centralized SIEMIncident Response: 50% faster MTTRCompliance Effort: 90% reduction in manual checksSecurity Team Productivity: 3x improvementTechnologies Used Core SIEM Stack Wazuh: 4.8.x (SIEM platform)OpenSearch: 2.11.x (data storage and search)OpenSearch Dashboards: Visualization and reportingIntegration & Automation AWS Services: CloudTrail, GuardDuty, VPC Flow Logs, Config, Security HubPython: Custom integrations and scriptsAnsible: Agent deployment automationPagerDuty: Incident managementSlack: Real-time notificationsInfrastructure AWS EC2: Wazuh managers and OpenSearch nodesKubernetes: Agent deployment via DaemonSetS3: Long-term log archiveEBS: High-performance storageKey Learnings Best Practices Rule Tuning is Critical: Started with 1000+ alerts/day, tuned to 50/dayAgent Performance: Proper resource limits prevent node impactData Retention: Balance compliance requirements with storage costsIntegration First: AWS service integration provides deeper visibilityAutomation: Active response reduces MTTR significantlyChallenges Overcome OpenSearch Scaling: Tuned cluster for 500K events/day ingestionAgent Overhead: Optimized configuration to <5% CPU usageAlert Fatigue: Implemented severity-based routing and aggregationCustom Rules: Iterative development with security team feedbackFuture Enhancements SOAR Integration: Security Orchestration and AutomationThreat Intelligence: Integrate external threat feedsUser Behavior Analytics (UBA): ML-based anomaly detectionMITRE ATT&CK Mapping: Automated attack technique identificationRed Team Integration: Automated detection testingSeptember 15, 2024
• SIEM
Wazuh
PCI DSS
Threat Detection
SOC
Incident Response
Implementing PCI DSS Requirement 3: Encryption & Tokenization Strategies Overview PCI DSS Requirement 3 focuses on protecting stored cardholder data through encryption, tokenization, and other cryptographic methods. This article explores practical implementation strategies.
Key Components 1. Encryption Requirements 3.1: Keep cardholder data storage to a minimum
Implement data retention policies Automate data lifecycle management Regular data discovery scans 3.2: Do not store sensitive authentication data
Prohibit storage of full track data, CVV2, PIN blocks Implement validation in CI/CD pipelines Regular scanning for accidental storage 2. Cryptographic Implementation AWS KMS Configuration:
August 10, 2024
• PCI DSS
Encryption
Tokenization
AWS KMS
Data Protection
PCI DSS 4.0 Compliance Architecture Challenge Design and implement a secure, compliant Cardholder Data Environment (CDE) for a high-volume payment processing platform handling millions of daily transactions.
Solution Architecture 1. Network Segmentation & Secure Configuration module "cde_vpc" {
source = "./modules/secure-vpc"
name = "cde-payment"
cidr = "10.0.0.0/16"
azs = ["eu-west-1a", "eu-west-1b", "eu-west-1c" ]
# Security controls
enable_nat_gateway = true
single_nat_gateway = false
tags = {
Environment = "production"
Compliance = "pci-dss"
DataClass = "cardholder"
}
}
2. Data Protection Strategy Encryption at Rest:
June 15, 2024
• PCI DSS
AWS
Encryption
Tokenization
Compliance