Conference Speaker Callvia xScore 33

Zero trust and AI security

From: White Rabbitx (@TheRabbitPy)

🚨 Cyber Research Conf 2026 CRC 2026 CFP open: Academia-industry bridge on threats/education. Submit for 2nd ed—zero trust, AI security focus. https://t.co/Nf0GucnmLW

Detected Mar 24

Suggested angles

Zero Trust Architecture in AI Systems: Implementing continuous verification for machine learning models and their data pipelines to prevent unauthorized access and model manipulation

AI-Powered Threat Detection and Response: How artificial intelligence enhances zero trust environments by automating anomaly detection and enabling faster incident response across hybrid infrastructure

Bridging the Academia-Industry Gap: Developing curriculum and best practices for training the next generation of cybersecurity professionals in zero trust and AI security principles

Example quote

“Zero trust becomes essential when AI systems make critical decisions—we must verify every interaction, every model update, and every data access, because one compromised AI model can undermine an entire security architecture.”

Submit a talk exploring how zero trust frameworks must evolve to secure AI systems in production environments, positioning your organization as a thought leader at the intersection of two critical security paradigms.