Cookie Consent
Hi, this website uses essential cookies to ensure its proper operation and tracking cookies to understand how you interact with it. The latter will be set only after consent.
Accept allDenySettings
Read our Privacy Policy
Back
LLM Security Solution Evaluation Checklist
FOR ENTERPRISE SECURITY TEAMS

Get Free Content

Use this checklist to evaluate LLM security solutions currently available on the market.

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.

‍

Overview

This checklist is designed for enterprise security teams looking to evaluate and choose the most effective LLM security solutions in the market. It serves as a practical guide to assess various aspects of security solutions, ensuring they meet your specific needs.

The checklist is structured to provide a comprehensive evaluation framework, covering critical aspects of LLM security. It enables teams to make informed decisions when selecting tools to protect their AI applications.

Highlights

  • Solution Scope and Supported Language Models: Assess whether the solution supports your LLMs and offers flexibility for future changes.
  • Prompt Injection and Data Leakage Protection: Check for defenses against prompt injection attacks and data leakage prevention.
  • Model Validation and Red Teaming: Ensure model validation for bias and harmful content, and examine red teaming for vulnerability testing.
  • System Usability, Integration, and Compliance: Assess system usability, integration with existing infrastructure, and compliance with industry standards.