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Lakewest1/README.md

Olalekan Musa · Sir Lakewest

Cloud Security Engineer | Detection & Security Automation (AWS · Azure)

I secure cloud-connected applications, investigate suspicious activity, and build security automation across cloud and application environments. I maintain live production platforms, build detection and investigation projects, and teach hands-on cybersecurity.

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Open to: Cloud Security Engineer and Cloud Security Analyst roles, cloud detection engineering roles, security automation projects, and freelance engagements.

☁️ Cloud AWS, Microsoft Azure
🔍 Detection & investigation MITRE ATT&CK, SIEM, threat hunting, network forensics
🛡️ Security engineering Application security, DevSecOps, Kubernetes, WAF
⚙️ Automation Python, TypeScript, Node.js, REST APIs, CI/CD

🚀 Production Platforms

I built and integrated security into three live platforms and maintain them part-time (about 1–3 hours a day): checking availability, troubleshooting technical and security issues, fixing identified flaws, and implementing owner-requested updates.

Platform Reach Security work
EVS Healthcare
Recruitment platform with CV uploads
10,000+ visitors
in ~6 weeks
Cloudflare WAF, bot and DDoS mitigation, HTTPS/TLS, security headers, input validation, secure CV upload handling, SPF/DKIM/DMARC
Repository
Rasoaf Travels & Tours
Travel platform
3,000+ visitors
in ~8 weeks
Cloudflare protections, security headers and TLS, Semgrep, Gitleaks, npm audit, OWASP ZAP, GitHub Actions security workflows
Repository
TV-Tay
Donation platform with real transactions
5,000+ visitors
in ~3 months
Cloudflare WAF, bot mitigation, DDoS protection, rate limiting; application, API and AWS security for the donation workflow
Repository

🔎 Detection Engineering & Security Automation

Personal projects and labs, not client deployments.

A multi-cloud detection pipeline that brings cloud and Kubernetes audit data into one investigation workflow.

  • Ingests and normalizes events from AWS CloudTrail, Microsoft Entra ID, and Kubernetes audit logs
  • Maps activity to MITRE ATT&CK
  • Applies configurable YAML detection rules with severity and confidence scoring
  • Exposes results through an API and a PostgreSQL/Supabase dashboard
  • Generates recommended response actions

Scope: produces recommendations only; automated remediation is not implemented. ▶ Demo walkthrough

TypeScript Node.js Express React AWS SDK Azure Identity PostgreSQL Supabase

Microsoft Sentinel alerts drive Azure Logic App workflows that call AWS Lambda over OIDC, with no long-lived credentials. Confirmed working end-to-end in lab.

Azure AWS
Sentinel and KQL for detection Lambda (Python) for response logic
Logic Apps for orchestration DynamoDB for idempotency
Entra ID and Graph for identity response SES for notifications

Azure Logic App SOAR Playbooks

SOC Tier 3-inspired orchestration playbooks, iterated across many versions to explore alert enrichment, investigation, and controlled response.

  • Threat-intelligence enrichment with VirusTotal and AbuseIPDB
  • Integrations with Azure Key Vault, Service Bus, and ServiceNow
  • Approval gates before sensitive identity-containment actions

Status: 🚧 In progress · Live development site

An AI-assisted investigation platform that brings multi-model orchestration, threat intelligence, and controlled tool execution into one workflow for URL and IP investigations. Instead of relying on a single model or an isolated reputation lookup, it coordinates five AI models and grounds their analysis in external evidence, while keeping control over which tools the AI can invoke.

  • Multi-model orchestration: coordinates five AI models within the investigation workflow to explore how different models contribute to security analysis
  • Threat-intelligence integration: VirusTotal, AbuseIPDB, Censys, ThreatFox, SecurityTrails, IPinfo, ViewDNS, Shodan, and Mozilla Observatory, added incrementally
  • Controlled tool execution: a tool registry and tool-use policy define the available tools and govern how the agent invokes them, rather than allowing unrestricted execution
  • Evidence-led assessments: tool calls gather observable intelligence, so findings rest on evidence rather than model assertions alone
  • Structured output: results are organised so findings can be reviewed alongside their supporting evidence
  • Access control: authentication, authorisation, and data-protection considerations built into the platform

JavaScript Node.js REST APIs Tool registry Policy enforcement Threat intelligence

Scope: under active development; integrations are subject to ongoing implementation and validation. It is not a fully autonomous SOC, a production-validated detection platform, or an automated remediation system.


🕵️ Investigation & Network Forensics

Investigation of packet-capture evidence from a controlled lab, reconstructing a multi-stage attack. ▶ Video walkthrough

  • Analysed HTTP, TCP, DNS, and SSH traffic in Wireshark
  • Identified reconnaissance, SQL injection attempts, webshell upload, reverse-shell execution, and attempted unauthorised SSH access
  • Extracted IOCs, built an event timeline, and mapped techniques to MITRE ATT&CK
  • Documented evidence, methodology, and findings in a forensic report

Wireshark Gobuster SQLMap SHA-256 IOC extraction MITRE ATT&CK

Investigation of suspicious network activity and potential data exfiltration, using threat-intelligence enrichment, SIEM techniques, and MITRE ATT&CK mapping.

Educational lab exploring phishing campaign configuration and email delivery. Not an authorised engagement with any organization. ▶ Video demonstration


☁️ Cloud Security & DevSecOps Projects

Project What it covers
AWS Security Automation Python/Boto3 checks for insecure IAM, S3, EC2, KMS, and CloudTrail configurations.
Secure Kubernetes Deployment Non-root containers, RBAC, network policies, OPA Gatekeeper admission control, Trivy and Gitleaks scanning, CI/CD validation.
PCI-Aware Cloud Security Architecture Least-privilege IAM, encryption and key management, STRIDE threat modelling, Zero Trust. An architecture project, not a PCI DSS certification or audit.

🧰 Skills

Domain Technologies
Cloud security AWS (IAM, CloudTrail, KMS, Lambda, API Gateway, S3, Boto3), Azure (Sentinel, KQL, Logic Apps, Entra ID, Key Vault)
Detection & investigation Detection rules, MITRE ATT&CK, alert triage, log analysis, IOC extraction, timeline reconstruction
Network forensics Wireshark, PCAP analysis, HTTP, TCP, DNS, SSH
Threat intelligence VirusTotal, AbuseIPDB, URL and IP reputation analysis
Application security OWASP ZAP, Semgrep, API security, input validation, security headers
Web protection Cloudflare WAF, rate limiting, bot mitigation, DDoS protection, TLS
DevSecOps GitHub Actions, Gitleaks, npm audit, Trivy, CI/CD controls
Cloud-native Kubernetes, container hardening, RBAC, NetworkPolicy, OPA Gatekeeper
Automation Python, TypeScript, Node.js, REST APIs, OIDC
Threat modelling STRIDE, attack-chain analysis

🎓 Certifications & Education

Credential Year
Kubernetes and Cloud Native Associate (KCNA) 2026
Cisco Junior Cybersecurity Analyst Career Path 2025
HND, Science Laboratory Technology (Chemistry), Upper Credit, Yaba College of Technology 2023
Ethical Hacking training 2024

Training completed (not certifications): AWS Cloud Practitioner learning path (AWS Skill Builder, 2025) and AWS Solutions Architect Associate preparation (Udemy).


👨‍🏫 Teaching

I run Lakewest Cybersecurity Academy, creating hands-on resources on SOC alert investigation, network forensics with Wireshark, and threat detection and incident-investigation methodology.


Let's connect · GitHub · LinkedIn · Email

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    Multi-cloud security detection platform for AWS, Azure & Kubernetes with MITRE ATT&CK mapping, declarative detection rules, threat normalization, automated risk analysis, and real-time SOC dashboard.

    TypeScript

  2. Cross-Cloud-SOC-Automation-Remediation-v2 Cross-Cloud-SOC-Automation-Remediation-v2 Public

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  3. Secure-Kubernetes-Deployment Secure-Kubernetes-Deployment Public

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  4. PCI-Compliant-Cloud-Security-Architecture-project PCI-Compliant-Cloud-Security-Architecture-project Public

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  5. multi-cloud-secure-donation-platform multi-cloud-secure-donation-platform Public

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