Optimising vulnerability triage in DAST with deep learning

Computer Science

• Vulnerabilities 100%
• Deep Learning 100%
• Dynamic Application Security Testing 100%
• False Positive 60%
• Scanners 40%
• Design 20%
• Real World 20%
• Evaluation 20%
• Natural Language Processing 20%
• Application Security 20%
• False Negative 20%
• False Positive Rate 20%
• Convolutional Neural Network 20%
• Web Application 20%
• Word Embedding 20%
• Hybrid System 20%
• Remediation 20%
• Internal Feature 20%
• Architecture View 20%
• Cognitive Effort 20%
• Real Vulnerability 20%
• Vulnerability Scanner 20%
• Exchange Traffic 20%
• Strong Security Posture 20%
• Models 20%