Dr. Loui Al Sardy presented the research paper “ADFuzz: An Adaptive AI-Driven Fuzzing for Vulnerability Detection” at the CyberAI 2026 Conference in an online session.
The paper introduces ADFuzz, an adaptive AI-driven fuzzing framework designed to improve vulnerability detection in Industrial Control Systems (ICS). By combining artificial intelligence with protocol-aware fuzzing, the framework continuously learns from previous testing iterations and dynamically adapts its input generation strategy. This enables more efficient discovery of security vulnerabilities while reducing redundant test cases and improving testing effectiveness.
The proposed approach contributes to advancing intelligent security testing for critical infrastructure and highlights the growing role of AI in automating vulnerability assessment for complex cyber-physical systems.
Conference: CyberAI 2026
Presentation: Online
Research Areas: AI for Cybersecurity, Intelligent Fuzzing, Industrial Control Systems (ICS), Critical Infrastructure Security
