AI-Driven False Positive Reduction

CybeDefend is actively building an AI-based solution that uses vulnerability’s dataflow to confirm or refute difficult-to-diagnose vulnerabilities—like path traversal—by analyzing whether the detected vulnerability truly travels from a source to a sink.

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How It Works

1. Dataflow Analysis
   During scanning, CybeDefend identifies the path a potentially vulnerable variable takes from its source to any sink (e.g., file operations, I/O calls). To see the tool we use for this, check out our Variable Dataflow Tracer.

2. AI Validation
   If AI Mode is enabled, our AI agents inspect that path in detail, determining whether the vulnerability is genuinely exploitable or just a false positive.

3. Complex Cases
   This approach is especially valuable for vulnerabilities like path traversal, where the code context (e.g., sanitization steps, conditional checks) can make or break exploitability.