The rapid adoption of artificial intelligence applications is transforming enterprise networking in ways that were barely predictable. Velorain: A new whitepaper from the Velocloud division of next-generation security for AI-driven networks examines these shifts. Organizations employing AI applications are discovering that traditional network architectures, primarily designed for client-server web traffic, struggle to meet the unique demands of AI workloads. These challenges go beyond network performance issues alone. They represent a fundamental change in how networks need to be architected and protected.
Genai’s new networking reality
Generated AI applications exhibit properties that break the assumptions of traditional networks. Unlike traditional web traffic that primarily flows downstream to users, AI workloads generate symmetric traffic patterns with comparable uploads and download volumes. These applications are highly latency sensitive and can potentially destroy distributed AI processing, leading to unreliable results. Adding this to the unpredictable and ruptured nature of AI traffic reveals why organizations need to rethink their network infrastructure.
New security challenges
The security impact is just as profound. As AI applications become more common, they introduce new attack surfaces and vulnerabilities that are not designed to address traditional security measures. Organizations now need to combat threats such as hostile attacks on AI models, attempts to add data, and the emergence of Shadow AI. Traditional threat detection methods that rely heavily on signature-based approaches cannot be simply maintained for these evolving challenges.
Velocloud Security Solutions
To meet these complex demands, Broadcom’s Velocloud division has a set of solutions fixed in innovative Velorain architectures. Velorain, short for Velocloud’s robust artificial intelligence networking, represents a fundamental rethinking of how enterprise networks work in the age of AI.
The Foundation has Velocloud SD-Wan, which provides robust security through multiple layers of protection. The solution implements strong encryption between all network components, enables sophisticated network segmentation, isolates different types of traffic, and includes advanced inspection capabilities through its enhanced firewall services. These features keep your AI workloads protected while maintaining the required level of performance.
Complementing the Velocloud SD-WAN capabilities is Symantec SSE from Velocloud, a cloud-based security service that specifically addresses the challenges of securing distributed AI applications. The main features are as follows:
Machine learning-based malware detection can identify and block re-encryption of SSL/TLS traffic, which identifies and blocks encrypted communication threats and re-encryption.
Velocloud SD-Access offers path-optimized zero trust networking specifically designed for distributed users and AI workloads. The solution uses sophisticated protocols to provide end-to-end encryption, supports encrypted peer-to-peer traffic essential for distributed AI processing, and implements granular identity-based access controls that allow only certified users and devices to access sensitive resources.
A Balance of Security and Simplified Management
The business benefits of this integrated approach are substantial. Organizations not only enhance security against emerging threats, but also improved performance of their AI workloads through intelligent traffic management and optimization. Centralized management and visibility across security components simplifies operations, but the inherent flexibility of the architecture allows you to adapt to future changes in the threat landscape.
As AI continues to reshape the enterprise technology landscape, organizations need partners who understand both the opportunities and challenges this transformation will bring. Velocloud’s comprehensive security solutions demonstrate our commitment to helping our customers make this new reality safe and successful. Combining advanced threat protection, intelligent network optimization, and zero trust principles, it enables organizations to embrace AI innovation while maintaining the highest level of security and performance.
Read the full whitepaper for more information on how Velocloud Solutions can protect your AI-driven network infrastructure.
