A Complete Solution to LLM Application Security Hazards
To ensure the security and stability of LLM applications, promptfoo provides a systematic solution. First of all, you need to understand the common security risks including: PII information leakage, prompt injection attacks, inappropriate content generation and so on. The specific operation can be divided into three steps:
- Red Team Test Configuration: Implementation
npx promptfoo@latest redteam initInitialize the red team test environment and define security test cases in the generated configuration file - Multi-dimensional scanning: The tool supports the detection of 7 types of core risks, including session isolation failures, sensitive data retention, and out-of-authority operations, etc., and the scanning process can be accelerated through concurrent testing.
- Repairing the validation closure: Use the generated high-level vulnerability report to locate the problem, modify the prompts and re-run them
promptfoo evaluateVerification of the repair effect
Best practices suggest performing weekly automated scans and establishing a continuous monitoring mechanism for core business flows, with a special focus on user input processing. promptfoo's caching feature saves historical test results, facilitating long-term tracking of security benchmarks.
This answer comes from the articlePromptfoo: Providing a Safe and Reliable LLM Application Testing ToolThe
May not be reproduced without permission:AI productivity tools " How to address security vulnerabilities and instability in LLM applications?
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