Securing LLMs Practice Exam

Securing LLMs Practice Exam

The Securing LLMs Practice Exam is an immersive workshop designed to equip you with the skills needed to safeguard enterprise-grade LLM applications. Led by cybersecurity expert Clint Bodungen, this comprehensive session dives into the OWASP Top 10 risks for securing LLMs, offering hands-on techniques to mitigate attack vectors specific to generative models.

Skills Acquired

• Gain practical knowledge to protect against supply chain vulnerabilities, data poisoning, unauthorized access, and more.
• A special focus on prompt engineering will help you establish secure guardrails to prevent misuse and jailbreaking attempts.
• By mastering these critical security skills, you’ll be prepared to fortify your LLM systems against emerging threats.
• Understanding of OWASP's Top 10 risks for LLMs.
• Practical skills to identify and mitigate unique attack vectors for generative models.
• Advanced techniques in securing LLM-based applications.

Who should take the exam?

This workshop is ideal for:

• Developers building LLM-powered applications who want to ensure robust security.
• Data Scientists leveraging generative models and seeking to safeguard training data.
• Security Professionals aiming to mitigate risks in enterprise-grade LLM implementations.

What you will Learn?

• Supply Chain Security: Techniques to safeguard against vulnerabilities in third-party code, libraries, and plugins.
• Data Protection: Strategies to prevent unauthorized access, data theft, and poisoning of training datasets.
• Input and Output Validation: Methods to filter malicious user inputs and sanitize model-generated outputs.
• Preventing Jailbreaking: Tools to block misuse of your LLMs and maintain strict operational boundaries.
• Automating Security: Leveraging tools and frameworks to integrate robust security measures into your development stack.

Key Highlights

LLM Vulnerability Analysis

• Identifying critical risks in the LLM ecosystem.
• Addressing supply chain vulnerabilities effectively.

Data Security and Integrity

• Mitigating risks of data poisoning and theft.
• Implementing robust access control measures.

Input and Output Security

• Filtering malicious user inputs.
• Ensuring safe and sanitized model outputs.

Preventive Mechanisms

• Setting up guardrails with prompt engineering.
• Blocking potential jailbreaking scenarios.

Automation and Monitoring

• Using security tools to automate risk mitigation.
• Proactive monitoring for ongoing protection.

Key Benefits

• Hands-on techniques to secure LLMs against OWASP's top 10 risks.
• Detailed coverage of attack vectors unique to LLMs.
• Sample code and live demos of real-world threats and solutions.
• Practical focus on prompt engineering to enhance security.
• Expert guidance on fortifying your LLM stack against emerging cyber threats.

Table of Contents

The Securing LLMs Exam covers the following topics - 

LLM Security Workshop – Tackling OWASP's Top 10 Risks Head-On

• Introduction to LLM Security: Understanding unique risks in LLMs and their implications.
• OWASP Top 10 Overview: Detailed walkthrough of the most critical security risks for LLMs.
• Supply Chain Vulnerabilities: Safeguarding against risks in third-party libraries, plugins, and models.
• Data Protection: Strategies to secure sensitive data and prevent poisoning attacks.
• Input and Output Filtering: Implementing robust mechanisms to sanitize inputs and outputs effectively.
• Jailbreaking Prevention: Tools and methods to block unauthorized use and exploitation of LLMs.
• Automation in LLM Security: Leveraging frameworks and tools to integrate automated security processes.
• Prompt Engineering for Security: Setting up secure operational guardrails with advanced prompt engineering.
• Case Studies and Demos: Real-world examples showcasing attack scenarios and solutions.
• Conclusion and Next Steps: Final tips for maintaining security in production LLM environments.