Security Plan

Comprehensive security controls and implementation roadmap following the AI Protector Workshop curriculum

AI Protector Workshop Overview

10-week security-first journey from development to production

A comprehensive program training builders and security engineers to defend AI-powered applications. Securing AI agent infrastructure from first commit through production deployment using layered defenses covering MCP servers, digital twins, serverless platforms, and Vercel edge services.

10 Weeks

Comprehensive Program

3 Cycles

Layered Security

Hands-on

Video Support Learning

Three Progressive Cycles

Cycle 1: Security Foundations

Weeks 1-3

Protector Mindset, Secure Digital Portfolio, and LMS Integration

Establish the AI Protector mindset, secure development workstation, and align with Cyber Security Bootcamp learning paths. Harden digital portfolio from the beginning while integrating LMS video tutorials and Australian case studies.

Week 1: Protector Mindset & Secure Development Environment

Week 2: Cyber Security Bootcamp Integration & Digital Portfolio Foundation

Week 3: Secure the My Digital Portfolio Application

Cycle 2: Defensive & Offensive Operations

Weeks 4-6

WAF, Arcjet, and Kali Linux Penetration Testing

Layer WAF protections onto digital portfolio, integrate Arcjet for agent-aware shielding, and run offensive security sprints with Kali Linux to understand attacker perspectives and hardening strategies.

Week 4: Layered Defenses: WAF, Arcjet, and Vercel Firewall (Optional Sprint)

Week 5: Kali Linux Penetration Testing Sprint

Week 6: Prerequisites for Agent Security Advanced

Cycle 3: Advanced Agent Security & Professional Delivery

Weeks 7-10

OAuth-secured MCP, Agent Security Advanced, and Executive Reporting

Implement the full Agent Security Advanced curriculum, secure MCP servers with OAuth 2.1, integrate the mcp-auth-demo, and deliver final portfolio presentations complete with security playbooks and executive insights.

Week 7: Agent Security Advanced Phase 1 & MCP Auth Demo

Week 8: Agent Security Advanced Phase 2 & Production Hardening

Week 9: Portfolio Integration & Security Reporting

Week 10: Final Presentation & Protector Launch Plan

Key Learning Areas

Secure AI Development Lifecycle

Shift-left security practices, secure coding standards, and environment hardening for AI agents

Cyber Security Bootcamp Integration

LMS-backed curriculum covering penetration testing, threat detection, and incident readiness

MCP Security Architecture

OAuth 2.1 authentication, Arcjet firewall integration, and secure MCP server deployment

Web Application Security

Hardened Next.js digital portfolio with Vercel Firewall, Clerk auth, and custom domain protections

Offensive Security Skills

Kali Linux tooling, rate limit evaluation, brute-force testing, and SQL injection mitigation

Professional Reporting

Executive dashboards, compliance mapping, and portfolio-ready security documentation

Expected Program Outcomes

Secure AI Portfolio Delivery

Hardened digital portfolio with WAF, Vercel Firewall, Arcjet, and monitored MCP integrations

Penetration Testing Playbook

Documented Kali Linux workflows with repeatable test cases for AI agent attack surfaces

MCP Authentication Mastery

OAuth 2.1 secured MCP server based on the mcp-auth-demo template and Agent Security Advanced patterns

Compliance-Ready Documentation

Security journey reports, Australian case studies analysis, and executive briefings

Operational Runbooks

Incident response procedures, rate limit thresholds, and ongoing security automation scripts

Career Acceleration

Protector mindset, presentation-ready portfolio, and cyber security specialization for AI agents

External Resources

Learn more about the AI Protector Workshop

AI Protector Workshop

Official workshop curriculum and materials

Model Context Protocol

Official MCP documentation and specifications