0xAudit

Product Introduction

1. Definition: 0xAudit is a specialized autonomous security audit platform designed explicitly for AI agents. It operates within the AI security infrastructure category, enabling agents to autonomously initiate security scans, receive actionable fixes, and verify remediation via the MCP protocol or REST API.
2. Core Value Proposition: It eliminates human bottlenecks in security remediation by providing a fully autonomous security pipeline. Its primary value lies in enabling AI agents to self-audit infrastructure, apply auto-fix code diffs, and confirm vulnerability resolution without manual intervention, significantly accelerating DevSecOps for autonomous systems.

Main Features

1. MCP Protocol Integration:
   • How it works: Agents connect natively via the Model Context Protocol (MCP) using Server-Sent Events (SSE) transport. Configuration involves adding the 0xAudit MCP server URL (https://mcp.0-x-audit.com/sse) to the agent's settings. Agents call tools like quick_scan or auto_fix directly through structured JSON-RPC-like commands over MCP.
   • Technologies: MCP protocol, SSE (Server-Sent Events), JSON-RPC.
2. Auto-Fix Engine with Code Diffs:
   • How it works: After a scan identifies vulnerabilities, agents call the auto_fix tool with the scan_id. The platform responds with unified diffs containing precise code changes for remediation. These diffs are framework-specific (e.g., Express, Django, Rails) and can be applied directly by the agent.
   • Technologies: Pattern-matching engine, AST (Abstract Syntax Tree) analysis, unified diff format. Supports 17+ fix patterns across major frameworks.
3. Comprehensive Security Scanning Suite:
   • How it works: Offers quick_scan (surface-level) and full_audit (in-depth) scans via API or MCP. Scans leverage 23 security tools to perform 105 specialized AI agent security checks, covering web apps, APIs, infrastructure, and smart contracts. Results include CVSS scores and exploit details.
   • Technologies: Integration of tools like Slither, Mythril (for Solidity), OWASP ZAP, custom scanners for AI-specific risks (prompt injection, API key leakage).

Problems Solved

1. Pain Point: Manual security audits create critical delays in development cycles, especially for autonomous systems requiring constant updates. Traditional tools lack agent-native integration and actionable, machine-applicable fixes.
2. Target Audience:
   • AI Agent Developers: Teams building autonomous agents needing continuous security validation.
   • DevSecOps Engineers: Professionals managing security for AI-driven applications.
   • Web3 & DeFi Projects: Platforms requiring frequent smart contract and dApp security checks.
3. Use Cases:
   • An autonomous trading agent self-auditing its API endpoints for vulnerabilities like missing rate limiting before deployment.
   • A DeFi protocol's management agent scanning its smart contracts after upgrades and auto-applying fixes for reentrancy risks.
   • A health SaaS platform using agents to continuously verify remediation of critical CVSS 9.8 vulnerabilities like zero-authentication endpoints.

Unique Advantages

1. Differentiation: Unlike traditional SAST/DAST tools (e.g., Snyk, Nessus) that provide reports requiring human analysis, 0xAudit delivers directly executable code patches via MCP. Competitors lack native autonomous remediation workflows and MCP protocol support.
2. Key Innovation: The MCP-native auto-remediation pipeline is the core innovation. Agents trigger scans (quick_scan), get fixes (auto_fix), apply diffs, and verify (quick_scan again) in a closed loop. This leverages AI agent autonomy to replace manual security tasks entirely.

Frequently Asked Questions (FAQ)

1. How does 0xAudit's auto-fix work technically?
   0xAudit's engine analyzes vulnerability context and code structure, then generates framework-specific unified diffs. These diffs contain exact code insertions/deletions (e.g., adding helmet() or CORS origin restrictions) that agents apply programmatically, verified by confidence scores (e.g., 0.95).
2. What vulnerabilities can 0xAudit detect for AI agents?
   It performs 105 AI agent security checks, including prompt injection vectors, API key exposure in logs/responses, authentication bypass risks, data leakage through LLM outputs, insecure agent-to-agent communication, and standard OWASP Top 10 web vulnerabilities.
3. Is 0xAudit suitable for smart contract audits?
   Yes, its full_audit includes Solidity/EVM analysis using Slither and Mythril, detecting critical risks like reentrancy attacks, integer overflows, access control flaws, and economic attack vectors, with auto-fix support where applicable.
4. How does pricing compare to manual audits?
   0xAudit's pay-per-scan model (e.g., $0.50/scan for Agent tier) is significantly cheaper than manual audits ($5k-$50k+). The Basic bundle ($300/100 scans) offers enterprise-grade scanning at ~$3/scan, enabling frequent, cost-effective continuous security.
5. Can I use 0xAudit without an AI agent?
   Yes, developers can use the free open-source CLI (npx @0xaudit/scanner) for quick scans or the REST API (POST /api/scan) for integrations. However, the full autonomous workflow (scan → fix → verify) requires MCP-connected agents.