Kereva LLM Code Scanner
Kereva LLM Code Scanner is a static analysis tool designed to identify potential security risks, performance issues, and vulnerabilities in Python codebases that utilize Large Language Models (LLMs). This tool analyzes your code without execution, helping to detect problems such as hallucination triggers, bias potential, prompt injection vulnerabilities, and inefficient LLM usage patterns.
Key Features:
- Static Code Analysis: Find issues without executing your code.
- Specialized LLM Scanners: Detect security, quality, and efficiency problems specific to LLM applications.
- Multi-format Support: Analyze Python files and Jupyter notebooks (.ipynb).
- Flexible Reporting: Get results in human-readable console output or structured JSON.
Benefits:
- Security Audits: Identify potential vulnerabilities before deployment.
- Quality Assurance: Find common LLM usage patterns that lead to poor results.
- Developer Education: Learn best practices for prompt engineering and LLM application design.
- CI/CD Integration: Automate LLM security checks in your deployment pipeline.
Highlights:
- Early Release: Please expect bugs and breaking changes.
- Exclusion Comments: To ignore specific lines of code during scanning.
- Comprehensive Reporting: Human-readable terminal output, structured JSON, and audit trails available.
