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AI Security

CL-AISEC

Onsite / Virtual classroom

3 days

Ends with an exam

Audience: Software developersSecurity champions

Preparedness: AI Fundamentals, Security Fundamentals, Software development

Exercises: Hands-on

AI Security
AI Security

The evolving world of artificial intelligence (AI) brings both opportunities and risks. To protect assets, organizations must understand how to secure their AI systems. This in-depth course delves into the AI security landscape, addressing vulnerabilities like prompt injection, denial of service attacks, model theft, and more. Learn how attackers exploit these weaknesses and gain hands-on experience with proven defense strategies and security APIs.

Discover how to securely integrate LLMs into your applications, safeguard training data, build robust AI infrastructure, and ensure effective human-AI interaction. By the end of this course, you'll be equipped to protect your organization's AI assets and maintain the integrity of your systems.


Outline

Introduction to AI Security

Types of AI Systems and Their Vulnerabilities

Understanding and Countering AI-specific Attacks

Ethical and Reliable AI

Prompt Injection

Model Jailbreaks and Extraction Techniques

Visual Prompt Injection

Denial of Service Attacks

Secure LLM Integration

Training Data Manipulation

Human-AI Interaction

Secure AI Infrastructure


Participants attending this course will

Gain a comprehensive understanding of AI technologies and the unique security risks they pose

Learn to identify and mitigate common AI vulnerabilities

Gain practical skills in securely integrating LLMs into applications

Understand the principles of responsible, reliable, and explainable AI

Familiarize themselves with security best practices for AI systems

Stay updated with the evolving threat landscape in AI security

Engage in hands-on exercises that simulate real-world scenarios




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Instructor-led courses
Instructor-led courses

Handle complex subjects, provide practical skills training, and hands-on experience, enable discussion and collaboration, and maintain the motivation and accountability of learners.

 Large-scale trainings
Large-scale trainings

Courses with couple of thousands of participants to be conducted in a short time frame, in any time zone, on-site or online.

Academic knowledge, practical application
Academic knowledge, practical application

Utilzing our R&D&I we combine academic knowledge with practical application, we develop and tailor courses to latest trends and clients' needs.

Proprietary platform with virtual machines
Proprietary platform with virtual machines

We use our proprietary platform with virtual machines for a safe practice, coding, and experimentation environment.

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