You're the AI Security Analyst at
Cortexa AI
Every project is grounded in a realistic company scenario — not textbook theory.
Cortexa AI
A fast-scaling AI company shipping LLM-powered products to millions of users. As their AI Security Engineer, you'll red-team LLMs, defend ML pipelines, threat-model GenAI apps, and ensure compliance with NIST AI RMF and the EU AI Act — exactly as you would in a real job.
From Enrolment to Certificate in 4 Steps
A structured, milestone-gated path ensures you build skills in the right order and earn your certificate by completing every stage.
Enrol & Get Instant Access
Create your account on the InfoSec4TC LMS and gain instant access to the platform — no credit card, no payment.
›Complete Projects
Work through 40 graded labs across four milestones. Each lab mirrors a real-world AI security task.
›Get Evaluated
Instructors review and grade your submissions. Achieve 70%+ in each milestone quiz to unlock the next stage.
›Earn Your Certificate
Complete the Capstone Assessment and receive your AI Security Professional: Practical Projects Platform 2026 certificate.
Built for Aspiring & Practising AI Security Professionals
If you want to prove your AI Security skills with real project work — not just theory — this platform was made for you.
Cybersecurity Professionals Moving Into AI
Break into AI security with a portfolio of real project deliverables that demonstrate hands-on competence to employers.
Career Changers Moving into Cyber
Transition from IT, development, or security roles into AI security with structured, guided project experience.
Certified Professionals Seeking Practice
You have the certificate (CISSP, CEH, OSCP) — now add the practical project evidence to match.
Students & Graduates Building Confidence
Strengthen your core skills across governance, risk, and compliance with expert-evaluated project work.
Students & University Graduates
Supplement your academic studies with industry-aligned AI security project work before your first role.
Global Professionals — Learn Anywhere
100% online, self-paced within the 16-week window. Study from anywhere in the world at your own schedule.
Everything You Need to Practise AI Security
at a Professional Level
The AI Security Professional Project Platform is designed from the ground up to replicate what you'll actually do in a AI Security role.
Realistic Company Scenario
All 64 projects are set within Cortexa AI — a fast-scaling AI company shipping LLM-powered products used by millions. Real context, real deliverables.
40 Graded Lab Assignments
Every lab is assessed by instructors. Submit real assessments, threat models, and remediation reports for expert feedback.
Adversarial ML Attacks
Execute data poisoning, model evasion, backdoors, and supply chain exploitation against ML models and pipelines.
AI Defense & Governance
Build guardrails and AI firewalls, and map controls to NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
LLM & GenAI Red-Teaming
Run prompt injection, jailbreaks, and adversarial-input attacks against production LLM and GenAI applications.
Milestone-Gated Learning Path
Each milestone is locked until you pass the knowledge check (70%+). Progress is sequential, structured, and verifiable.
Expert Instructor Evaluation
Instructors review your submissions and provide annotated feedback — the same evaluation you'd receive in a professional review.
Completion Certificate
Finish all milestones and the Capstone Assessment to receive your official AI Security Professional Project Platform 2026 certificate.
Career-Ready Portfolio Output
Leave the platform with 40 completed, evaluated lab artefacts — real evidence of competence for your CV and interviews.
40 Real Labs Across All Four
AI Security Domains
Every project produces a tangible deliverable — the kind of document you'll create on your first day in a real AI Security role.
Build the AI security foundations — understand ML systems, then attack LLMs and exploit the OWASP LLM Top 10.
- Build a Chatbot & Text Classifier Lab
- Set Up the AI Security Lab Environment
- Attack AI Chatbots & Scan LLMs for Flaws
- Adversarial Attacks with TextAttack & ART
- Exploit Direct & Indirect Prompt Injection
- Bypass System Prompts & Insecure Plugins
- OWASP LLM Top 10 Assessment Report
Identify, assess, and treat AI security risks using industry-standard methodologies for Cortexa AI's risk programme.
- Poisoned ML Pipeline Attack Simulation
- SCA & Model Scanning for AI Projects
- Threat-Model AI Systems with STRIDE
- Automated Modeling — IriusRisk & StrideGPT
- Backdoor Attacks with the BackdoorBox Toolkit
- Generate SBOMs, Attestations & Model Signing
- AI Supply Chain Security Report
Build layered AI defenses, harden models against adversarial ML, and map AI governance and compliance controls.
- Input Validation & Output Filtering Controls
- Model Watermarking, Fingerprinting & AI WAFs
- Adversarial Training & Robust Defenses
- Adversarial Robustness Testing — FGSM & PGD
- AI Governance & Compliance Framework
- NIST AI RMF & ISO 42001 Controls Mapping
- EU AI Act Risk Classification Report
Bring it all together in the Capstone — design a full AI Security programme, present to the board, and prepare your professional career portfolio.
- AI Incident Response Playbook for Cortexa AI
- Detect Model Poisoning & Data Exfiltration
- Full AI Security Assessment & Pen Test
- Career Portfolio Assembly
- Capstone Final Assessment & CAISP Prep
4 Milestones. 16 Weeks.
A Complete AI Security Journey.
Each milestone is a structured block of work, gated behind a knowledge check. Progress only when you're truly ready — just like a real AI Security programme review.
- Introduction to AI Security & ML Fundamentals
- Neural Networks, NLP & RAG Architecture
- Understanding & Attacking Large Language Models
- MITRE ATLAS & Adversarial ML Frameworks
- OWASP LLM Top 10 Vulnerabilities
- Prompt Injection & Insecure Output Handling
- Foundations Knowledge Check (70% pass required)
- Risk Register Development & Maintenance
- Risk Assessment Methodology Application
- Threat & Vulnerability Analysis
- Risk Treatment Plan Preparation
- Business Impact Analysis (BIA)
- Residual Risk Acceptance Documentation
- Risk Management Knowledge Check (70% required)
- AI Governance, Compliance & Standards
- NIST AI RMF & ISO/IEC 42001
- EU AI Act & Global AI Regulations
- Defensive Security Controls for AI Systems
- Adversarial Machine Learning Defense
- Model Watermarking, Guardrails & AI WAFs
- AI Defense Knowledge Check (70% required)
- Full AI Security Assessment & Pen Test for Cortexa AI
- Executive Board Presentation
- AI Security Roadmap Delivery
- Career Portfolio Assembly
- Capstone Final Assessment (CAP-04)
- Course Completion Certificate Issued
PLUS — Bonus Specialist Topic Sections
Your 16-Week AI Security Journey
at a Glance
A structured, milestone-gated programme — work at your own pace within the 16-week window.
📌 How the gating works: You must achieve 70% or above in each Milestone Knowledge Check before the next milestone unlocks. This ensures you build skills in the correct order — just as you would in a structured AI Security programme at work.
AI Security Professional: Practical Projects Platform 2026 is a career-focused programme by
InfoSec4TC to give AI Security candidates the real-world project experience they need to break into and advance in the AI Security profession.
Questions? Contact us at infosec4tc@infosec4tc.com