Intelligent Network Summit

As AI increasingly becomes part of network operations, organizations are moving beyond simple automation toward systems that can recommend, modify, and optimize network configurations. While these capabilities can improve efficiency and scalability, they also introduce a less visible security challenge: security drift.

Small automated changes to permissions, segmentation, routing, access controls, and security policies can accumulate over time, gradually moving an environment away from its intended security posture. In complex hybrid and multi-cloud networks, these changes may be difficult to identify through traditional periodic security reviews.

This session from instructor Halil Ibrahim Dursunglu explores how organizations can recognize and control security drift as AI and automation take on larger roles in network management. Rather than treating AI-driven network automation as something organizations should avoid, this webinar focuses on how to adopt it while maintaining security, visibility, and governance.

Key Takeaways
- Understand how AI-assisted network operations and automation can introduce security drift over time.
- Identify where automated changes to configurations, permissions, segmentation, and access controls can create security gaps.
- Establish security baselines and continuous validation processes to detect high-risk changes before they become vulnerabilities.
- Apply zero trust and least-privilege principles to AI-driven and automated network environments.
- Build practical governance and human oversight into network automation without losing the benefits of automation.