Length: 2 Days
Retrieval-Augmented Generation (RAG) Security Essentials Training is a 2-day course that covers essential knowledge and skills for ensuring security in systems utilizing Retrieval-Augmented Generation (RAG) techniques.
Objective:
To equip participants with essential knowledge and skills for ensuring security in systems utilizing Retrieval-Augmented Generation (RAG) techniques. This course will cover the principles of RAG, potential security risks, and best practices for securing RAG implementations.
Target Audience:
Cybersecurity professionals, data scientists, AI engineers, software developers, and IT managers involved in the implementation or management of AI systems utilizing RAG.
Course Structure:
Introduction to Retrieval-Augmented Generation (RAG)
- Overview of RAG
- Definition and Components
- How RAG Enhances AI and ML Systems
- Common Use Cases and Applications
- RAG Architecture
- Core Components: Retrieval and Generation
- Integration with Existing Systems
- Examples of RAG Implementations
Security Risks in RAG Systems
- Potential Vulnerabilities
- Risks in Retrieval Mechanisms
- Risks in Generation Models
- Data Privacy and Integrity Issues
- Threat Models
- Types of Attacks (e.g., Data Poisoning, Model Inversion)
- Real-World Examples of Security Incidents
- Impact Assessment
- Consequences of Security Breaches
- Assessing the Risk Landscape for RAG Systems
Best Practices for Securing RAG Systems
- Data Security
- Secure Data Retrieval Techniques
- Ensuring Data Privacy and Integrity
- Managing Sensitive Information
- Model Security
- Protecting Against Model Inversion and Evasion Attacks
- Ensuring Model Robustness and Accuracy
- Regular Model Audits and Updates
- System Security
- Secure System Design and Architecture
- Access Control and Authentication
- Monitoring and Incident Response
- Compliance and Regulations
- Relevant Security Standards and Frameworks
- Compliance with Data Protection Regulations (e.g., GDPR, CCPA)
- Ensuring Adherence to Industry Best Practices