Generative AI–Driven Cybersecurity Intelligent Threat Detection, Automation & Trust
About the Special Session
GenAI + CybersecurityThe rapid advancement of Generative AI (GenAI) is transforming cybersecurity through intelligent threat detection, automated incident response, and adaptive defense. At the same time, AI-driven security solutions raise major challenges in trust, robustness, explainability, privacy, and ethical use.
This session focuses on Generative AI–driven cybersecurity solutions to enhance intelligent threat detection, security automation, and trustworthiness across digital, smart, and critical systems.
Topics
Non-exhaustive listAI-Based Threat Detection & Cyber Defense
- ML/DL techniques for cyber threat detection
- AI-driven IDS/IPS
- Behavioral analytics & anomaly detection
- Federated & privacy-preserving learning
- Explainable AI (XAI) for trustworthy decisions
Generative AI for Cybersecurity Automation
- LLMs for security analysis & SOC automation
- GenAI for malware detection & classification
- Vulnerability discovery using generative models
- GAN-based approaches for intrusion detection
- Detection & mitigation of AI-generated cyber threats
Secure & Intelligent Systems
- AI-driven security for IoT, IIoT & smart systems
- Edge AI for real-time threat monitoring
- Zero Trust security models enhanced by AI
- AI-based security for 5G & next-gen networks
- AI-assisted protection of critical infrastructures
Privacy, Ethics & Trust
- Privacy-preserving AI models for cybersecurity
- Ethical challenges of AI-driven cyber decisions
- Trustworthy & accountable AI for cyber defense
- Security vs privacy trade-offs in AI systems
- Human-centered & explainable AI in cybersecurity
Session Chairs
Submission
CMTPapers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conference at the same time.
Accepted and presented papers will be published in the CyberAI 2026 proceedings and indexed in SCOPUS.