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OWASP Large Language Model Security Verification Standard (LLMSVS) Cheatsheet
LLM SECURITY

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Download our OWASP LLMSVS Cheatsheet for a quick and convenient overview of the standard.

Overview

Explore AI security with the Lakera LLM Security Playbook. This guide is a valuable resource for everyone looking to understand the risks associated with AI technologies.

Ideal for professionals, security enthusiasts, or those curious about AI, the playbook offers insight into the challenges and solutions in AI security.

Highlights

  • Comprehensive Analysis of LLM Vulnerabilities: Detailed overview of critical security risks in LLM applications.
  • Gandalf - The AI Education Game: Introduction to Gandalf, an online game designed for learning about AI security.
  • Expansive Attack Database: Insights from a database of nearly 30 million LLM attack data points, updated regularly.
  • Lakera Guard - Security Solution: Information about Lakera Guard, developed to counteract common AI threats.‍
  • Practical Security Advice: Tips on data sanitization, PII detection, and keeping up-to-date with AI security developments.

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Overview

The OWASP Large Language Model Security Verification Standard (LLMSVS) is an innovative framework created to enhance the security of applications powered by large language models (LLMs). It provides essential guidance for architects, developers, and security professionals to build, test, and maintain secure LLM applications.

Highlights

  • Security Verification Levels: The standard offers three levels of security assurance tailored to different risk profiles, ensuring robust controls for high-value or sensitive systems.
  • Secure Development Lifecycle: Emphasizes the integration of security practices within the Secure Software Development Life Cycle (SSDLC) to maintain security from the outset.
  • Adaptive Framework: Recognizes the dynamic nature of AI and cybersecurity, advocating for continuous updates and feedback to keep the standard relevant.
  • Key Control Objectives: Includes guidelines for configuration and maintenance, model lifecycle management, real-time learning, data storage, LLM integration, and agent and plugin security.
  • Practical Application: Provides a comprehensive checklist based on an organization’s specific needs, guiding through a tailored security assessment process.