WS Investor
20 Dec 2025, 19:01
Fortinet and Arista Networks Launch Joint Secure AI Data Center Solution
Fortinet and Arista Networks announced a joint Secure AI Data Center solution designed to combine high-performance, low-latency networking with integrated, zero-trust security for large-scale AI workloads. The solution has been deployed at Monolithic Power Systems and provides a validated, scalable reference architecture for organizations building and operating AI data centers.
The joint architecture integrates Arista’s ultra-low-latency networking and load balancing with Fortinet’s ASIC-accelerated security, including encrypted traffic inspection, zero-trust segmentation, and AI-aware threat protection. According to the companies, the design enables faster deployment through zero-touch provisioning, supports next-generation AI accelerators, and improves AI performance by offloading HTTPS and TLS processing from server CPUs.
The collaboration aims to address key barriers to AI adoption such as infrastructure complexity, performance bottlenecks, vendor lock-in, and security risks including data leakage and model tampering. By offering a modular, multivendor blueprint with unified management across networking and security, the companies say organizations can scale AI infrastructure with lower cost, reduced operational risk, and higher resilience.
Source: GlobeNewswire
Fortinet and Arista Networks announced a joint Secure AI Data Center solution designed to combine high-performance, low-latency networking with integrated, zero-trust security for large-scale AI workloads. The solution has been deployed at Monolithic Power Systems and provides a validated, scalable reference architecture for organizations building and operating AI data centers.
The joint architecture integrates Arista’s ultra-low-latency networking and load balancing with Fortinet’s ASIC-accelerated security, including encrypted traffic inspection, zero-trust segmentation, and AI-aware threat protection. According to the companies, the design enables faster deployment through zero-touch provisioning, supports next-generation AI accelerators, and improves AI performance by offloading HTTPS and TLS processing from server CPUs.
The collaboration aims to address key barriers to AI adoption such as infrastructure complexity, performance bottlenecks, vendor lock-in, and security risks including data leakage and model tampering. By offering a modular, multivendor blueprint with unified management across networking and security, the companies say organizations can scale AI infrastructure with lower cost, reduced operational risk, and higher resilience.
Source: GlobeNewswire