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Join us for a webinar, "The CISO Workshop on API Threat Modeling
Join us for a webinar, "The CISO Workshop on API Threat Modeling
Join us for a webinar, "The CISO Workshop on API Threat Modeling
Join us for a webinar, "The CISO Workshop on API Threat Modeling
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AI-Powered
SQLi Detection

WallNet is an open-source bidirectional recurrent neural network with attention mechanism, pooling layers, and pipeline for Structured Query Language injection (SQLi) detection. It was developed using TensorFlow  and Python, and is designed to reduce false positives which negatively impact DevSecOps workload and efficiency. It was demonstrated at BSideSF, during which the application of this methodology was illustrated and the implementation of AI-based false-positive detection for SQL injection attacks was detailed.

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    Features

    Reduced false positives

    AI-driven accuracy minimizes DevSecOps workflow disruptions.

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    Bidirectional RNN architecture

    Advanced neural network design for SQL detection.

    Attention mechanism

    Focuses on critical patterns for accurate detection.