In today’s digital world, traditional data protection methods are insufficient. The shift from static defenses to dynamic approaches like Zero Trust—where everything is verified—reflects the growing complexity of securing valuable and ubiquitous data. Artificial intelligence (AI) offers both opportunities and risks for cybersecurity. To address these challenges, organizations must understand the evolution of security practices, the data dilemma, and AI’s role, while implementing robust measures, continuous monitoring, and regulatory compliance.

In this presentation, you will get a better understanding of:

• The shift from traditional security measures to modern, decentralized approaches like Zero Trust
• Data’s increasing value and ubiquity, and the growing challenges in keeping it secure
• The new possibilities for enhancing cybersecurity and significant risks
• The complexities of implementing a zero-trust approach to AI to address risks (such as bias perpetuation, explainability challenges, and adversarial attacks)
• Strategies to navigate the double-edged sword of AI in cybersecurity — Robust security measures, continuous monitoring, and regulatory compliance