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0xAudit

0xAudit provides the security layer infrastructure for autonomous AI agents, offering an API-first platform for scanning, auto-fixing vulnerabilities with code diffs, and verification.

What is 0xAudit?

What is 0xAudit?

0xAudit is the pioneering security audit platform specifically engineered for the needs of autonomous AI agents. It functions as a fully integrated, security-focused infrastructure layer, enabling agents to perform continuous security checks without human intervention. By leveraging the Model Context Protocol (MCP) or standard REST APIs, 0xAudit allows agents to seamlessly integrate security into their operational loops: Scan, Fix, and Verify.

This platform moves beyond traditional reporting by providing actionable, verifiable remediation. When a vulnerability is detected, 0xAudit doesn't just suggest fixes; it generates precise, unified code diffs that the calling AI agent can apply directly to the target application. This creates a fully autonomous security pipeline, ensuring that security remediation is fast, accurate, and confirmed through subsequent verification scans, leading to zero remaining vulnerabilities upon completion.

Key Features

  • Autonomous Security Pipeline (Scan. Fix. Verify.): Agents can initiate a scan, receive code diffs for identified vulnerabilities, apply those fixes, and immediately re-scan to confirm remediation—all without manual oversight.
  • API-First & MCP Native: Supports integration via standard REST API or natively through the Model Context Protocol (MCP) using SSE transport, making connection simple for any agent architecture.
  • Auto-Fix Engine with Code Diffs: Provides actual unified diffs for remediation across 17+ fix patterns covering major frameworks (Express, Next.js, Django, Flask, Rails, etc.).
  • Comprehensive Coverage: Utilizes 23 distinct security tools and over 105 AI agent security checks, covering Web Applications, APIs (REST/GraphQL), Infrastructure, and Smart Contracts (Solidity/EVM).
  • AI Agent Security Focus: Specialized checks include prompt injection resistance, API key exposure detection, data leakage analysis, and robust authentication/authorization flow testing.
  • Pay-Per-Scan Model: Offers flexible pricing suitable for agent operations, with a free tier available for initial testing and development.

How to Use 0xAudit

Getting started with 0xAudit involves configuring your AI agent to communicate with the platform using either the MCP or REST interface.

  1. Configuration: Add the 0xAudit MCP server URL (https://mcp.0-x-audit.com/sse) to your agent's configuration file.
  2. Scanning: The agent calls the quick_scan or full_audit tool, providing the target URL. The result includes vulnerability counts and an indicator if auto-fixes are available.
  3. Fix Generation: If fixes are needed, the agent calls the auto_fix tool using the scan_id. The response delivers structured JSON containing the fix_diff (unified diff format) for each vulnerability.
  4. Remediation & Verification: The agent applies the received diffs to the codebase. Finally, the agent triggers a new scan (quick_scan) against the patched target to verify that all issues have been successfully remediated, completing the autonomous loop.

Use Cases

  1. Continuous Integration/Continuous Deployment (CI/CD) Security Gates: Integrate 0xAudit directly into deployment pipelines. Agents can automatically scan new code commits, apply fixes for low-to-medium severity issues instantly, and flag only critical, complex issues for human review, drastically speeding up release cycles.
  2. Autonomous Penetration Testing Agents: Deploy agents tasked with finding and exploiting vulnerabilities in live environments or staging servers. The agent uses 0xAudit to identify weaknesses, automatically patch them, and confirm the patch success, providing a comprehensive security posture report.
  3. Smart Contract Security Audits: For DeFi projects, AI agents can use 0xAudit's specialized tools to analyze Solidity code, identify reentrancy or overflow issues, and receive verified patches before deployment, ensuring robust on-chain security.
  4. API Security Posture Management: Companies with numerous microservices and APIs can use agents to continuously monitor endpoints for configuration drift, missing security headers (like CORS or X-Frame-Options), and injection vectors, ensuring ongoing compliance.
  5. AI Agent Self-Correction: Developers building complex AI agents can use 0xAudit to test the security of the agent's own generated code or configuration files, ensuring the agent itself does not introduce security flaws into the systems it manages.

FAQ

Q: What protocols does 0xAudit primarily support for agent communication? A: 0xAudit is API-first, supporting standard REST API calls. However, its native integration is via the Model Context Protocol (MCP), utilizing Server-Sent Events (SSE) for efficient, low-latency communication with agents.

Q: Are the auto-fixes guaranteed to work correctly? A: 0xAudit provides high-confidence fixes based on 17+ established patterns. The platform mandates a final VERIFY step where the agent re-scans the patched code. The loop is only considered complete when the verification scan confirms zero remaining vulnerabilities for the applied fixes.

Q: What kind of vulnerabilities can 0xAudit detect? A: Coverage is broad, including Web Application/API issues (injection, headers, CORS), Infrastructure misconfigurations, and Smart Contract vulnerabilities (Solidity/EVM). It also includes specialized checks for AI agent security risks like prompt injection.

Q: How is pricing structured for agent usage? A: Pricing is based on a pay-per-scan model, making it cost-effective for automated workflows. There is a free tier available for users to test the integration and functionality before committing to paid usage.

Q: Do I need to write custom code to integrate the fixes? A: No. The auto_fix tool returns a standard unified diff format. Your agent only needs the capability to read this diff and apply it to the relevant files in the target repository, which is a standard operation for modern automation tools.

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