The Paradox of Cognitive Defense: Limitations of Traditional WAFs against LLM Prompt Injection
Abstract
This paper analyzes the obsolescence of signature-based security mechanisms (Web Application Firewalls) in the era of Generative Artificial Intelligence. With the rise of Large Language Models (LLMs) integrated into web applications, a new attack vector has emerged: Prompt Injection. This study argues that semantic attacks cannot be mitigated by syntactic filters (Regex) and proposes that the future of cybersecurity relies on cognitive defense systems based on Deep Learning.
Fields of Study & Subjects
Web Application Security Vulnerabilities
Adversarial Robustness in Machine Learning
Network Security and Intrusion Detection
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 January 2026
- Document type
- Preprint