DNS is ubiquitous in cybersecurity threats, and AI and machine learning are revolutionizing DNS data analysis. Every user, server, IoT and mobile device requires DNS, which can be leveraged to secure your organization at the first intent to communicate. In this session, the panelists will share insights on topics such as the volume of DNS requests generated by companies, the potential of DNS data in identifying security threats, the risks of lookalike domains, and the importance of proper IP address management for incident response.

Security leaders must avoid relying on known signature-based attacks, analyzing sandboxed traffic, maintaining an army of security analysts, or being vulnerable to misconfigured systems. Leverage advanced AI/ML models to block connections to malicious domains, rendering malware, phishing, and lookalike domains useless.

This session, conducted by Infoblox's Tom Guerrette and Greg Simmons, will cover:

• The role of DNS in IoT device security
• Strategies for implementing DNS-based security measures in cloud environments
• The potential impact of AI-driven DNS analysis on regulatory compliance and data privacy