2 रिपॉजिटरी
Awesome GitHub RepositoriesLLM-Based Analysis
Security analysis that leverages large language models to evaluate code intent and semantic context.
Distinct from Source Code Security Analysis: Distinct from general source code security analysis by specifically using LLMs for semantic intent evaluation to reduce false positives.
Explore 2 awesome GitHub repositories matching security & cryptography · LLM-Based Analysis. Refine with filters or upvote what's useful.
Awesome LLM-Based Analysis GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- nvidia/skillspector
NVIDIA/SkillSpector
10,778GitHub पर देखेंSkillSpector is a security scanner designed to detect vulnerabilities and malicious patterns in AI agent plugins and extensions before they are installed. It functions as a runtime guardrail that calculates numeric risk scores and assigns severity labels to provide installation recommendations or block risky external extensions. The project distinguishes itself by using language models to perform semantic code analysis, evaluating code intent and context to reduce false positives. It also employs fingerprint-based issue suppression to track and ignore previously accepted risks across repeated
Uses language models to perform semantic code analysis and evaluate intent to reduce false positives in vulnerability detection.
Python - anthropics/claude-code-security-review
anthropics/claude-code-security-review
5,316GitHub पर देखेंThis project is an AI-powered static analysis tool and automated vulnerability scanner designed to detect security flaws such as injection and authentication bypasses. It uses large language models to perform semantic reasoning across multiple programming languages, identifying vulnerabilities within code changes. The tool operates as a GitHub Action that integrates into continuous integration pipelines to analyze pull request diffs. It focuses on modified lines of code to target new risks and reports findings by posting automated comments directly to the pull request. Analysis is directed b
Uses large language models to evaluate code intent and semantic context to identify security flaws.
Python
