OWASP LLM Advisor-LLM security advisory platform
AI-powered guidance for secure LLM deployment.
How can I secure my LLM against data poisoning?
How do I protect against prompt injection when building my AI application?
Can you explain the OWASP Top 10 for LLMs?
What best practices should we follow for LLM deployment?
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Introduction to OWASP LLM Advisor
The OWASP LLM Advisor is a specialized tool built on the principles of the OWASP Top 10 for LLM Applications, aiming to help organizations securely integrate Large Language Models (LLMs) into their operations. Its core function is to provide actionable security recommendations for managing LLMs, addressing the unique risks that these models introduce to business environments. The Advisor focuses on pragmatic security strategies, balancing functionality with protection. A key part of the design is its focus on specific vulnerabilities related to LLMs such as prompt injection, training data poisoning, and insecure output handling. By offering guidelines for secure LLM deployment and interaction, the OWASP LLM Advisor supports developers, data scientists, and security experts in making informed decisions when building LLM-based applications. For example, if a business integrates an LLM-powered customer service chatbot, the Advisor will help ensure the chatbot does not inadvertently expose sensitive information or fall prey to prompt injection attacks.
Core Functions of OWASP LLM Advisor
Risk Identification
ExampleThe Advisor helps identify vulnerabilities specific to LLMs like prompt injection, which occurs when attackers manipulate inputs to control the LLM’s behavior.
ScenarioA company uses an LLM for customer interactions. Without proper safeguards, an attacker manipulates the input, tricking the model into revealing private information. The Advisor highlights such risks, allowing the company to implement mitigation strategies such as input validation.
Guided Security Implementation
ExampleIt provides detailed steps to mitigate threats such as data sanitization techniques to prevent sensitive information disclosure.
ScenarioAn organization implementing an LLM for generating financial reports can use the Advisor to ensure sensitive data is not inadvertently exposed in the output. The tool offers guidelines to sanitize and limit the scope of data access.
Best Practices for LLM Deployment
ExampleThe Advisor suggests deploying LLMs with sandboxing and least privilege access to prevent excessive agency, where the LLM performs unintended actions.
ScenarioA developer using an LLM for document processing can prevent the LLM from making unauthorized modifications or deletions by following the Advisor’s recommendation to limit its access to read-only permissions.
Target Users of OWASP LLM Advisor
Developers and Security Engineers
These professionals are tasked with integrating LLMs into applications while ensuring security. They benefit from the Advisor’s detailed vulnerability analysis and mitigation techniques to safeguard LLM applications against emerging threats.
Data Scientists and AI Engineers
Data scientists developing or fine-tuning LLM models can leverage the Advisor to ensure that the training and deployment stages do not introduce vulnerabilities such as model theft or training data poisoning, which can compromise the integrity of the AI system.
How to Use OWASP LLM Advisor
Visit aichatonline.org for a free trial without login, no need for ChatGPT Plus.
Start by visiting the website to access the OWASP LLM Advisor tool directly. You can try it without creating an account or subscribing to premium services.
Understand Prerequisites
Familiarize yourself with OWASP guidelines for LLM security to fully benefit from the advisor's recommendations. This includes knowing potential vulnerabilities in AI models.
Input Security Queries
Enter specific questions or challenges you face with LLMs, especially around secure deployment, risk mitigation, or vulnerability prevention, to get tailored guidance.
Review Actionable Advice
The advisor provides detailed, practical steps for addressing LLM-related security issues. Follow the recommended measures to reduce risks in real-time applications.
Apply Security Best Practices
Leverage OWASP's comprehensive advice to integrate security controls and safeguard your AI system from prompt injection, sensitive data disclosure, and other threats.
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Q&A About OWASP LLM Advisor
What is the primary purpose of OWASP LLM Advisor?
The OWASP LLM Advisor is designed to provide developers, data scientists, and security experts with actionable security guidance on deploying large language models securely.
How does OWASP LLM Advisor address vulnerabilities?
The advisor identifies critical security risks specific to LLM applications, such as prompt injection, data poisoning, and insecure output handling. It offers mitigation strategies tailored to these threats.
Who can benefit from using OWASP LLM Advisor?
Developers, security professionals, and anyone responsible for integrating LLMs into applications can benefit by using OWASP LLM Advisor to prevent security breaches.
Does OWASP LLM Advisor support plugin security?
Yes, it provides guidelines to secure LLM plugins, ensuring that third-party integrations and inputs are validated and protected from unauthorized access or execution.
Can the OWASP LLM Advisor help with training data security?
Yes, it offers insights on securing training data, preventing poisoning attacks, and ensuring the integrity of data used in LLM models.