OSAI+ (AI-300) Training & Certification | Offensive Security AI Security Certification Program

OSAI+ (AI-300) Course Overview

The OSAI+ (AI-300) Training & Certification program is an advanced cybersecurity course designed to equip learners with practical skills in Artificial Intelligence (AI) security, machine learning security, and Large Language Model (LLM) security testing. The course focuses on identifying vulnerabilities in AI applications, securing AI systems, defending against AI-specific attacks, and implementing secure AI development practices.

As AI technologies become increasingly integrated into business operations, organizations require cybersecurity professionals capable of protecting AI models, detecting AI threats, and performing security assessments of AI-powered applications. OSAI+ provides hands-on training through practical labs and real-world attack simulations to prepare learners for modern AI security challenges.

What We Offer in This Course

• Comprehensive understanding of AI and machine learning security.
• Hands-on AI application security testing labs.
• Large Language Model (LLM) security assessment techniques.
• Prompt Injection and Jailbreak attack methodologies.
• AI threat modeling and risk assessment.
• Secure AI development best practices.
• Preparation for OSAI+ (AI-300) certification examination.
• Training by experienced AI security professionals.
• Real-world AI attack case studies.
• Career guidance for AI security professionals.

Course Objectives

• Understand AI security concepts and threat landscape.
• Learn to identify vulnerabilities in AI systems.
• Develop skills for securing LLM-based applications.
• Perform AI risk assessments and threat modeling.
• Understand adversarial machine learning attacks.
• Implement secure AI deployment practices.
• Protect AI models against common attack techniques.
• Gain practical experience through hands-on AI labs.

Topics Covered During the Training

Introduction to AI Security

• AI security fundamentals.
• Machine learning concepts.
• LLM architecture overview.
• AI threat landscape.
• Ethical and legal considerations.

AI Threat Modeling

• Threat identification.
• Attack surface analysis.
• Risk assessment methodologies.
• Security planning.
• Mitigation strategies.

Large Language Model (LLM) Security

• Prompt Injection attacks.
• Jailbreak techniques.
• Prompt leaking.
• Model abuse scenarios.
• Secure prompt engineering.

Machine Learning Security

• Model poisoning attacks.
• Adversarial machine learning.
• Data integrity protection.
• Model extraction attacks.
• Privacy attacks on ML systems.

AI Application Security Testing

• Testing AI-powered web applications.
• API security assessment.
• Input validation testing.
• Authentication and authorization review.
• Secure AI integrations.

Data Security and Privacy

• Data leakage prevention.
• Sensitive information protection.
• Privacy-preserving AI.
• Secure data handling.
• Compliance considerations.

AI Infrastructure Security

• Cloud AI security.
• Model deployment security.
• Container security.
• Identity and access management.
• Monitoring AI environments.

Incident Detection and Response

• Detecting AI attacks.
• Threat monitoring.
• Incident response planning.
• AI security logging.
• Recovery strategies.

Reporting and Security Assessment

• Technical reporting.
• Risk documentation.
• Business impact analysis.
• Security recommendations.
• Executive communication.

Hands-On Practical Exposure

• Prompt Injection attack labs.
• LLM security testing exercises.
• Machine learning attack simulations.
• AI application penetration testing.
• API security assessments.
• Threat modeling workshops.
• Real-world AI security challenges.

Tools and Technologies Covered

• OWASP Top 10 for LLM Applications.
• Burp Suite.
• Python.
• OpenAI APIs.
• LLM testing frameworks.
• Docker.
• Cloud AI platforms.

Who Should Enroll

• Cybersecurity Professionals.
• Penetration Testers.
• AI Security Engineers.
• Security Researchers.
• Machine Learning Engineers.
• DevSecOps Engineers.
• Developers building AI-powered applications.

Career Opportunities After Completion

• AI Security Engineer.
• Application Security Engineer.
• AI Penetration Tester.
• Cybersecurity Consultant.
• Machine Learning Security Engineer.
• Cloud Security Engineer.
• AI Risk Analyst.

Certification Preparation

• Complete OSAI+ (AI-300) exam objective coverage.
• Practice assessments and AI security labs.
• Scenario-based AI attack simulations.
• Revision and doubt-clearing sessions.
• Certification preparation guidance.

By the end of this program, participants will possess the technical knowledge and practical skills required to assess AI applications, identify vulnerabilities in machine learning systems, secure Large Language Models, and protect AI-powered environments against modern cyber threats.