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Introducing DeepSweep.ai: Proactive Security for AI Code Assistants

We're launching proactive security validation for AI Code Assistants—OWASP aligned protection that works with any AI coding tool.

5 min read By DeepSweep Team

AI coding assistants are changing how we build software. From GitHub Copilot to Cursor, Claude Code to Amazon Q, developers are embracing AI-powered development at unprecedented rates.

But with great power comes great responsibility. These AI assistants operate with significant access to your codebase, development environment, and potentially sensitive systems. The configuration files that control their behavior—like .cursorrules, copilot-instructions.md, and MCP server configs—represent a new attack surface that traditional security tools were never designed to protect.

Today, we're launching DeepSweep.ai: proactive security validation for AI Code Assistants.

DeepSweep validates your AI assistant configuration files for security vulnerabilities, detecting prompt injection attempts, dangerous MCP server configurations, and supply chain risks. It's designed to integrate seamlessly into your existing workflow—run it locally, add it to your CI/CD pipeline, or use our GitHub Action for automated PR checks.

Our detection patterns are aligned with the OWASP AI systems Top 10, covering the most critical risks identified by the security community. We've built 77 patterns (37 AI-specific + 40 traditional) across categories including Credential Exposure, Prompt Injection, MCP Security, Misconfiguration, Data Exfiltration, and Supply Chain.

Get started in under 60 seconds with a simple pip install. DeepSweep runs entirely locally—no source code ever leaves your machine.

Welcome to secure AI-assisted development.

See where your AI-generated code stands.

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