Securing the Future: VeloCloud’s Approach to AI-Driven Networks
The burgeoning adoption of artificial intelligence is revolutionizing enterprise networks in ways that were previously unforeseen. Today, networks are striving to accommodate the unique demands of AI. A new white paper from VeloCloud, a division of Broadcom, titled “VeloRAIN: Next-Gen Security for AI-Driven Networks,” delves into these critical shifts. Organizations embracing AI are finding that traditional network architectures, originally designed for client-server web traffic, are inadequate for handling the particular needs of evolving AI workloads. These challenges extend beyond network performance issues, signaling a fundamental need to rethink network architecture and security strategies.
The New Networking Reality of GenAI
Generative AI applications are characterized by their novel networking demands, challenging established norms. Unlike conventional web traffic, which predominantly flows downstream to users, AI workloads exhibit symmetric traffic patterns, with sizable upload and download volumes. Moreover, these applications are highly sensitive to latency. Even minor delays can disrupt distributed AI processing, leading to unreliable outcomes. Coupled with the unpredictable, bursty nature of AI traffic, it becomes clear why businesses must reassess their network infrastructure.
Evolving Security Challenges
The security implications of this shift are equally significant. As AI applications become more prevalent, they introduce novel attack surfaces and vulnerabilities that traditional security measures were not designed to address. Organizations must now confront a range of threats, including: adversarial attacks on AI models, data poisoning attempts, and the rise of shadow AI — the unauthorized use of AI tools that could compromise sensitive corporate data. Traditional threat detection methods, which heavily depend on signature-based detection, are simply not capable of keeping pace with these escalating challenges.
VeloCloud’s Security Solutions
To tackle these intricate demands, Broadcom’s VeloCloud division offers a suite of solutions centered around the innovative VeloRAIN architecture. VeloRAIN, short for VeloCloud Robust Artificial Intelligence Networking, represents a fundamental re-conceptualization of how enterprise networks should operate in the AI era.
At the core of this architecture is VeloCloud SD-WAN. The solution provides robust security through a multi-layered approach, implementing strong encryption across all network components, enabling sophisticated network segmentation, and including advanced inspection capabilities via its Enhanced Firewall Service. These features ensure that AI workloads are protected while maintaining the high performance needed.
Complementing VeloCloud SD-WAN capabilities is Symantec SSE for VeloCloud. This cloud-based security service directly addresses the challenges particular to safeguarding distributed AI applications, featuring:
- Machine learning-based malware detection to identify and block emerging threats.
- High-speed decryption and re-encryption of SSL/TLS traffic to uncover threats hidden in encrypted communications.
- Inline cloud access security broker (CASB) capabilities to combat shadow AI risks.
- Advanced data protection leveraging AI-powered data loss prevention (DLP) engines.
VeloCloud SD-Access offers path-optimized zero-trust networking specifically designed for distributed users and AI workloads. This solution provides end-to-end encryption, supports encrypted peer-to-peer traffic essential for distributed AI processing, and implements granular, identity-based access controls, ensuring only authorized users and devices can access sensitive resources.
Balancing Security with Simplified Management
The strategic advantages of this integrated approach are significant. Organizations gain enhanced security against emerging threats and improved performance for their AI workloads through intelligent traffic management and optimization. Centralized management and visibility across all security components simplifies operations, while the architecture’s inherent flexibility ensures it can adapt to future changes in the threat landscape.
As AI continues to reshape the enterprise technology landscape, businesses need partners who understand this transformation’s challenges and opportunities. VeloCloud’s comprehensive security solutions demonstrate a commitment to helping customers navigate this new reality securely and successfully. By combining advanced threat protection, intelligent network optimization, and zero-trust principles, the company is enabling organizations to embrace AI innovation while maintaining the highest levels of security and performance.
To learn more about how VeloCloud’s solutions secure AI-driven network infrastructure, read the full white paper.
