Master AI Security with Expert-Led Courses
Comprehensive training programs designed to equip you with the skills needed to protect AI systems from emerging threats.
Black Hat Exclusive Incentives !
1 year of content access
60 days of hands-on labs (90 days for the bundle)
Professional certification
Access to AISA updates and future improvements
AI Governance Professional CourseRelease Date : 17/12/2025
The CAGP certification course represents a comprehensive, professional-level training program designed to address the critical and rapidly growing challenge of Shadow AI, the unauthorized use of AI tools and services within organizations.
Course Modules
- Module 1 — The Shadow AI Risk Landscape
- Module 2 — Detection, Governance & Technical Controls
- Module 3 — Incident Response & Continuous Improvement
Key Takeaways
- Comprehensive Coverage: Only course covering Shadow AI detection, governance, and response in depth
- Practical Focus: Immediately actionable frameworks and templates
- Commercial Platform Analysis: Detailed evaluation of leading detection tool
- Professional Certification: CAGP credential
AI Security EssentialsRelease Date : 17/12/2025
Artificial Intelligence is reshaping every aspect of business from automation and healthcare diagnostics to creative generation and decision-making.
Course Modules
- Module 1 - Foundations of Artificial Intelligence
- Module 2 — AI Threat Landscape
- Module 3 — OWASP ML Security Top 10 (2023)
- Module 4 — OWASP LLM Security Top 10 (2024)
- Module 5 — OWASP Agentic AI Security (2024–2025)
- Module 6 — Secure AI Development Lifecycle (SAIDLC)
- Module 7 — Deepfakes and Disinformation
- Module 8 — Shadow AI and Governance
- Module 9 — AI Red Teaming
Key Takeaways
- Explain how AI systems are structured (ML, LLM, Agentic)
- Identify and analyze AI-specific security threats
- Recognize the risks of Shadow AI and deepfake manipulation
- Apply OWASP AI Exchange Top 10 frameworks in practice
- Integrate AI governance, ethics, and security-by-design principles
- Connect foundational knowledge to AISA’s advanced lab-based certifications
AI Security Red TeamingRelease Date : 15/02/2026
Learn how to probe and attack AI systems to uncover vulnerabilities before real adversaries do. Gain hands-on skills in adversarial testing, jailbreaks, prompt attacks, and model-level threat analysis.
Course Modules
- Module 1 — Introduction to AI Security Red Teaming
- Module 2 — Prompt Injection and LLM Manipulation
- Module 3 — Data Poisoning and Supply Chain Attacks
- Module 4 — Adversarial Machine Learning and Model Evasion
- Module 5 — AI Agent Security and Excessive Agency
- Module 6 — Information Disclosure and Privacy Attacks
- Module 7 — AI Red Teaming Methodology and Practice
Key Takeaways
- Lab 1: AI Security Reconnaissance
- Lab 2: Basic Prompt Injection
- Lab 3: Advanced Prompt Injection
- Lab 4: Data Poisoning Attack Simulation
- Lab 5: RAG System Exploitation
- And many other labs !
AI Agentic Security Practitioner CourseRelease Date : 29/03/2026
Master securing agentic AI systems that can reason, plan, and act autonomously. Focus on agent behaviors, safety controls, policy enforcement, and preventing autonomous misuse or escalation.
Course Modules
- Module 1 — Agentic AI Security Fundamentals
- Module 2 — Identifying Agentic Vulnerabilities
- Module 3 — Hands-On Security Testing Tools
- Module 4 — Implementing Security Controls
- Module 5 — Testing Multi-Agent Systems
- Module 6 — Supply Chain and Integration Security
- Module 7 — Operational Security and Monitoring
Key Takeaways
- Test agentic AI systems for common vulnerabilities
- Use security tools to scan and assess agent security
- Implement specific security controls (input filters, output monitoring)
- Identify prompt injections, excessive agency, and poisoning attacks
- Participate in threat modeling sessions (reading threat models)
- Monitor agentic systems for security incidents
- Respond to agentic security incidents using playbooks
- Assess third-party components for security risks
- Document security findings and recommendations