DocSentinel
arthurpanhku/DocSentinel
Automate cybersecurity assessment of documents, questionnaires and reports to surface risks, compliance gaps and remediations, using a RAG knowledge base.
- Local integrations
- Cloud integrations
Installation, supported tools and required credentials are maintained by the project.
Project details
- GitHub stars
- 88
- Language
- Python
- License
- MIT
- Forks
- 10
- Latest release
- v4.2.04mo ago
- Activity
- updated today
- Platforms listed
- macOS, Windows, Linux
- ai-agent
- compliance
- document-parsing
- fastapi
- llm
- ollama
- openai
- rag
First MCP server?Start with the basics
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JADX decompiler plugin providing live, LLM-assisted reverse engineering.
Honeypot framework for building decoy MCP tools that an agent would never use in normal work, to detect prompt injection and malicious agent behavior.
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Dead code detection, security scanning and code quality analysis for Python, TypeScript and Go, with AI-assisted remediation.
Native Ghidra integration with GUI configuration, logging and no external dependencies.