Improved Multi-File Analysis and False Positive Reduction

We’ve reimagined how static analysis should work—by deeply understanding the full context of your codebase. Our upgraded multi-file analysis engine transforms traditional scanning by going beyond file-by-file inspection. It now intelligently maps out your application structure, analyzing key relationships between files, imports, and dependencies to understand how your system actually behaves.

Here’s how it works:

• We start by analyzing the primary file and automatically detect relevant imports, configuration files, and cross-referenced modules.

• Unnecessary files like tests or build scripts are excluded, letting the system focus on what's relevant to security.

• This context is fed into our AI-powered false positive detection engine, which uses language-aware models, policy inference, and control flow understanding to determine whether a vulnerability is real and exploitable.

This allows us to:

• Significantly reduce false positives (up to 40% fewer)

• Detect vulnerabilities that span across files, not just those in isolation

• Improve accuracy by accounting for real-world usage patterns and security controls

• Save developers and security teams hours of unnecessary triage

• Deliver confident, explainable security results

This upgrade is especially impactful in complex applications where critical context is often spread across multiple files—think microservices, layered configurations, or framework-based architectures. With Corgea’s new multi-file-aware engine, security scanning becomes not just faster, but smarter.

You don’t just get more findings—you get better ones.