Modern companies adopt AI applications, in particular generative AI (GENAI), at a rapid pace. This adds new network safety challenges to already complex business workloads covering data centers, campuses, clouds, branches and remote user locations.
Network data is reshaped by the rapid adoption of AI products. By 2026, it is estimated that on 80% of companies are likely to have adopted APIs or AIP applications, but a recent McKinsey study suggests that Less than 50% are ready to manage the associated cybersecurity risks.
The use of shadow AI among employees is also increasing – without any surveillance – exposing organizations more to cyber attacks.
The AI model and application developers build inherent safety mechanisms within these applications. IT teams also tighten their security posture in the data center. But threat actors evaluate vulnerabilities in current entry points that include users, devices and applications at the edge or in the cloud. Velocloud, a Broadcom division, has developed an AI -based architecture to meet the needs of a business ready for AI.
Why the modern network architecture requires AI security solutions
With approximately 47% Organizations citing the adversary capacities activated by a generative AI (GENAI) as the main concern of cybersecurity, the risks of data loss and compliance violations increase in multi-cloud and edges environments.
It doesn't stop there. Security teams are also flooded with an overwhelming range of security alerts, incoherent controls, fragmented governance and visibility gaps while organizations expand their technological footprint on various platforms – creating blind spots that sophisticated attackers easily exploit.
A tenable cloud risk in 2025 Report reveals that 70% of IA cloud workloads in cloud environments have non -publicized vulnerabilities that leave the data on display.
Unfortunately, many organizations are still counting on conventional security solutions to deal with these risks. Traditional approaches to combat security risks with AI applications may not be adequate. Traffic generated from AI applications tends to be distributed and sensitive to latency, therefore the deployment of all the security tools in the data center can offer a secure but sub-optimal experience. It is imperative to apply safety on the optimal path between users and application, or between model consumers and models.
How Velocloud solutions improve the security of the company ready for AI
Companies adopting AI -focused applications require networks that can dynamically adapt to the evolution of workloads while providing the application of safety on an optimal path outside the data center.
Velocloud takes up these challenges with VeloranA networking architecture fueled by AI designed to improve the safety, performance and scalability of workloads distributed on AI.
Velocloud Sase is built using VELOR architecture Vellocloud SD-WAN For the secure campus and the connectivity of the branches, Velocloud SD-Access for remote distance access based on ZTNA, and Symantec SSE for Velocloud for the application of cloud safety.
Velocloud Dynamic Multipath Optimization ™ technology (DMPO) is improved with AI to analyze network conditions in real time and select the best traffic paths in a way that ensures reliability on several networks. Completing this is the dynamic cutting of applications (DABS), designed to improve performance by prioritizing critical applications and allocating the bandwidth accordingly. Together, these technologies maintain an optimal quality of experience (QOE) by adapting to network fluctuations and application requests, even in complex and multi-cloud environments.
Its AI -centered approach allows the identification of applications in real time and the application of policies, ensuring that the workloads of AI receive the necessary prioritization and protection.
Characteristics that distinguish the VELOR
Unlike traditional SD-WAN solutions based on static policies, the bike dynamically adjusts network resources according to AI traffic models to alleviate the bottlenecks of performance and reduce attack areas.
You will find below four key ways in veloration for your organization:
Threat protection led by AI
Velocloud Sase uses AI to collect, analyze, detect and act on the evolution of threats. By dealing with billions of threat signals from various sources, including ending points, emails and internet traffic, it allows proactive defense against zero day attacks and the evolution of cyber players. Propelled by Symantec Global Threat Intelligence Network The solution allows companies to meet their safety and compliance needs with the evolution of the nature of landscapes of threat.
Optimized path security
Vellocloud SAS offers customers flexibility to configure security policies in a central way and to apply these policies to the branch or in the cloud. The application of branches is made possible by the native integration of improved firewall services on the Velocloud SD-WAN appliance. The application of Cloud takes advantage of the global network of points of presence of Vellocloud optimally located closer to the providers of public applications and Saas.
Secure moving data
When users access applications, the data is transferred between the branch, the campus, the remote locations, the cloud and the data center. These data must be protected and any risk of data loss to threaten the actors must be prevented. Vellocloud SAS only allows authorized users to access AI applications and, in doing so, it encrypts all the data exchanged. Any attempt to exfiltrate this data is monitored and blocked.
Optimized performance for AI applications
The AI workloads require a high bandwidth and low latency connectivity. Veloraine -based solutions continuously analyze network conditions and adapt real -time application traffic to maintain optimal performance. This ensures that AI models, including interconnected AI agents, receive a coherent network quality without disruption. The platform also incorporates the telemetry focused on AI to predict and effectively allocate the bandwidth, as well as to prevent congestion and ensure transparent application performance.
Conclusion
While companies adopt AI -focused applications in distributed environments, the security of the robust network becomes essential. Vellocloud, a Broadcom division, exploits the power of the bike, its architecture improved by AI to offer advanced security, transparent performance and scalability that exceed conventional solutions. Doumented to protect data and AI models on the edge and in the cloud, Velocloud authorizes organizations to mitigate risks while guaranteeing an exceptional user experience.
Visit Velocloud Today to find out how the solution can improve the safety and resilience of your business.
