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synapse-audit

io.github.digidenone/synapse-audit

AI-Powered Security Scanner for LLMs. Detects vulnerabilities and syncs with SynapseAudit.

Documentation

SynapseAudit Ecosystem

The Next-Generation AI-Powered Security Platform. Secure your code from the first keystroke to production deployment.

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Overview

SynapseAudit is a holistic security ecosystem designed for the modern SDLC. It combines Static Analysis (SAST), Dynamic Analysis (DAST), and Agentic AI to provide zero-false-positive results.

[!NOTE] SynapseAudit v3.0 is live! featuring the new Hybrid Analysis Engine and MCP Server for Claude/Cursor integration.

The Ecosystem

This monorepo houses the entire platform. Each component is designed to work independently or as part of the unified suite.

ComponentStatusDescription
CLiv3.0.0The command-line powerhouse for local scans & CI pipelines.
Extensionv3.0.0VS Code extension for real-time security alerts.
MCP Serverv3.0.0Model Context Protocol server enabling LLMs to "see" security context.
Cortexv3.0.0The core intelligence library shared across all tools.
SynapseAudit Cloudv3.0.0Serverless backend powering the cloud synchronization.
GitHub Actionv3.0.0Automated security scanning for CI/CD pipelines.

Quick Start

Option 1: The CLI (Fastest)

# 1. Install Globally
npm install -g @digidenone/synapseaudit

# 2. Login to Cloud (Optional)
synapse-audit auth login

# 3. Analyze Current Directory
synapse-audit scan .

Option 2: VS Code Extension

  1. Open VS Code.
  2. Search "SynapseAudit" in the Marketplace.
  3. Install and press Ctrl+Shift+S to scan.

Contributing

We welcome contributions from the community! Please read our Contributing Guide to get started.

  1. Fork the repo: https://github.com/digidenone/SynapseAudit.
  2. Create your feature branch (git checkout -b feature/amazing-feature).
  3. Commit your changes (git commit -m 'feat: add amazing feature').
  4. Push to the branch (git push origin feature/amazing-feature).
  5. Open a Pull Request.

Support & Enterprise

For commercial licensing, SLAs, and dedicated instances:

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