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Filter static analysis false positives to improve code audit accuracy.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "AuditShield" yet — see the docs or source repo.
Use AuditShield to analyze this Semgrep scan result, filter false positives with rules, code context, and ML, then output retained issues with reasons by high, medium, and low risk.
A cleaned audit report listing likely real issues, risk levels, and filtering rationale.
Send Bandit, Gosec, and Semgrep scan results to AuditShield, deduplicate and filter false positives, then generate a unified security audit summary.
A merged security summary showing deduplicated valid findings, source tools, and remediation priorities.
For the static analysis alerts in this commit, use AuditShield to identify likely false positives and recommend which alerts still need manual review.
A review recommendation report classifying alerts into ignorable and actionable items with reasoning.
Scan MCP servers and AI tools for risks with scoring and auto-protection.
Review code for security, quality, and performance issues with actionable suggestions.
Run comprehensive code and config security scans for AI coding assistants.
Scan external endpoints for AI agents and return zero-trust security decisions.
Run one-click code security audits to find vulnerabilities and leaked secrets.
Provide controlled repository access for AI coding agents with redaction and audit logs.