Tinker Tailor LLM Spy: Investigate & Respond to Attacks on GenAI Chatbots

Overview

Discover how to investigate and respond to GenAI chatbot security incidents with practical methods for isolating attacks, gathering information, and implementing LLM guardrails before your company faces a crisis.

Syllabus

• Introduction to GenAI Security
Overview of GenAI chatbots
Importance of security in GenAI applications
• Understanding Threats to GenAI
Types of attacks on GenAI chatbots
Case studies of past security incidents
• Investigating Security Incidents
Identifying signs of compromise
Tools and techniques for isolating attacks
Frameworks for incident investigation
• Information Gathering
Sources of evidence and data collection
Techniques for analyzing chat logs and interactions
Legal and ethical considerations in data handling
• Implementing LLM Guardrails
Designing secure interaction protocols
Techniques for anomaly detection in chatbots
Building robust input validation systems
Implementing user authentication and authorization
• Responding to Security Incidents
Steps for incident response
Communication strategies during a security breach
Recovery and post-incident analysis
• Future of GenAI Security
Emerging threats and evolving technologies
Continuous improvement and security updates
• Hands-on Workshops and Case Studies
Simulated security incident exercises
Real-world application in implementing security measures
• Summary and Best Practices
Recap of key takeaways
Guidelines for maintaining a secure GenAI environment
• Final Assessment and Project
Group project on a simulated GenAI security scenario
Individual assessments to test understanding and application of course materials

Subjects

Computer Science