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Cisco Cloud Security

AI is here. 
Is your Firewall ready for Terabit-Scale Traffic?
Webinar On-Demand

AI is here. Is your Firewall ready for Terabit-Scale Traffic?

AI-driven traffic growth is changing the performance requirements of the modern data center. As traffic volumes and speed increase, security infrastructure becomes a primary performance bottleneck. Throughput density, encrypted traffic inspection, and resilience are no longer optimization goals; they define whether security can scale at all.

This session examines what terabit-scale data center security requires today, using Cisco Secure Firewall 6100 as a real-world example of how modern firewalls are designed to meet those demands with:

  • 5× the Performance Density: Up to 600 Gbps of threat inspection in just 2RU with linear scaling to 8 Tbps—5× the performance of the competition, using 80% less space, 60% less power, and at one-third the cost.
  • Effortless, Modular Scalability: N+1 clustering allows you to scale as needed, with no single points of failure and simple, centralized management.
  • AI-Ready Encrypted Threat Detection: Hardware crypto offload and Cisco’s Encrypted Visibility Engine ensure line-rate inspection of encrypted traffic, while SnortML and Talos threat intelligence block zero-days before patches exist.
  • Integrated Zero Trust and Segmentation: Native Cisco ISE integration delivers dynamic, identity-based segmentation at scale, reducing lateral movement and enforcing zero trust policies.
  • Security Embedded in the Fabric: Purpose-built for Cisco ACI, the 6100 seamlessly inspects east-west traffic, ensuring policy enforcement without compromising performance.

See how Cisco Secure Firewall 6100 lowers the total cost of ownership by dramatically reducing hardware, rack space, power, and cooling costs, simplifies operations with centralized management and agentic ops, and keeps your data center ready for the demands of AI—at any scale. Don’t miss this opportunity to see how Cisco is powering ahead in data center firewalling.

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