AI verification and confidence scoring for audit-packs
Project description
audit-packs-ai
audit-packs-ai implements the AI verification and confidence scoring engine for the audit-packs ecosystem. It evaluates finding context using Large Language Models (LLMs) to determine the probability of a finding being a false positive or true positive under the specific organizational configuration.
Installation
pip install audit-packs-ai
Features
- Multi-Provider LLM Integration: Interfaces with OpenAI, Anthropic, and Google Generative AI (Gemini) APIs.
- Smart Confidence Scoring: Calculates confidence levels and generates rationales for each finding to assist developers in prioritizing fixes.
- False Positive Reduction: Flags issues that are safe to ignore, reducing noise in security reports.
Learn More
This library is part of the larger audit-packs Compliance Intelligence Engine. For the main command-line interface, GitHub Action integration, and framework mappings, see the main repository.
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