You're the AI Security Engineer at
Cortexa AI
Every project is grounded in a realistic company scenario β not textbook theory.
Cortexa AI Inc.
A fast-scaling AI company shipping LLM-powered products used by millions. As their AI Security Engineer, you'll secure production models, defend ML pipelines, red-team GenAI apps, and ensure compliance with NIST AI RMF and the EU AI Act β exactly as you would in a real AI security role.
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
Complete your one-time $59 payment and get instant access to the platform and all 4 milestones.
βΊComplete Labs & Projects
Work through 40 graded labs across four milestones. Each lab mirrors a real-world AI security task.
βΊGet Evaluated
Instructors review and grade your submissions. Achieve 70%+ in each milestone quiz to unlock the next stage.
βΊEarn Your Certificate
Complete the Capstone Assessment and receive your AI Security Professional (CAISP) certificate.
Built for Professionals Moving Into AI Security
If you want to prove your AI security skills with real project work β not just theory β this platform was made for you.
Cybersecurity Professionals
Extend your security career into AI β the fastest-growing and highest-demand specialisation in the field.
Developers & ML Engineers
Learn to ship LLMs and ML systems securely, and understand how attackers target the models you build.
Penetration Testers & Red Teamers
Add LLM red-teaming, prompt injection, and adversarial ML to your offensive security toolkit.
Compliance & Risk Professionals
Master NIST AI RMF, ISO/IEC 42001, and the EU AI Act with hands-on AI governance project work.
Students & Graduates
Supplement academic studies with industry-aligned AI security project work before your first role.
Global Professionals β 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 Project Platform is designed from the ground up to replicate what you'll actually do in an AI security role.
Realistic AI Company Scenario
All 40 labs are set within Cortexa AI β a fictional AI company shipping LLM-powered products. 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.
LLM & GenAI Red-Teaming
Run prompt injection, jailbreaks, and adversarial-input attacks against production LLM and GenAI applications.
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.
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 β the same evaluation you'd receive in a professional review.
CAISP Completion Certificate
Finish all milestones and the Capstone Assessment to receive your official AI Security Professional (CAISP) certificate.
Career-Ready Portfolio Output
Leave the platform with 40 completed, evaluated AI security artefacts β real evidence of competence for your CV and interviews.
40 Real Labs Across All Four
AI Security Domains
Every lab produces a tangible deliverable β the kind of artefact you'll create on your first day in a real AI security role.
Build the AI security foundations β 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
Secure the ML pipeline and supply chain, threat-model AI systems, and defend against emerging AI threats.
- Poisoned ML Pipeline Attack Simulation
- SCA & Model Scanning for AI Projects
- Threat-Model AI Systems with STRIDE
- Automated Modeling β 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 β FGSM & PGD
- AI Governance & Compliance Framework
- NIST AI RMF & ISO 42001 Controls Mapping
- EU AI Act Risk Classification Report
Bring it all together β respond to AI security incidents, run a full AI security assessment, and build your 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 β just like a real AI security onboarding programme.
- 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)
- AI Attacks & Defenses Using DevSecOps
- CI/CD Pipeline & Dependency Attacks
- Threat Modeling AI Systems with STRIDE
- AI Supply Chain Security & Model Signing
- Emerging Threats in AI Security
- Automated Threat Modeling β IriusRisk & StrideGPT
- DevSecOps 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)
- Incident Response for AI Security Breaches
- AI Security Assessment & Penetration Testing
- Red Team Operations & Automated Testing
- Career Portfolio Assembly
- Capstone Final Assessment & CAISP Exam Prep
- CAISP Certificate Issued
PLUS β Bonus Specialist Topic Sections
Your 16-Week AI Security Journey
at a Glance
A structured, milestone-gated programme β work at your own pace within the 16-week window.
π 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 β just as you would in a structured AI security programme at work.
AI Security Professional (CAISP): Practical Projects Platform 2026 is a career-focused programme byInfoSec4TCto give professionals the real-world AI security experience they need to break into and advance in one of the fastest-growing fields in cybersecurity.
Questions? Contact us at infosec4tc@infosec4tc.com