Modern companies adopt AI applications, especially generative AI (Genai), at a fast speed. This adds new network security challenges to already complex company’s workload that spans data centers, campuses, cloud, branches and remote user locations.
Network data is reshaped by quick adoption of AI products. By 2026, it is estimated that over 80% of companies have probably adopted generative AI APIs or apps, yet a recent McKinsey survey suggests that less than 50% are ready to control the associated cyber security risks.
Shadow AI use among employees is also increasing – without supervision from it – further exposing organizations to cyber attacks.
AI model and application developers build inherent security mechanisms within these applications. That team also tightens their security position within the data center. But threat actors scan by vulnerabilities in common entry points that include users, devices and applications at the edge or in the cloud. VeloCloud, a branch of Broadcom, has developed AI-based architecture to meet the needs of an AI-clear company.
Why modern network architecture requires AI security solutions
With approx. 47% of organizations quoting conflicting capabilities activated by generative AI (Genai) as their top cybersecurity concern increases risks of data loss and violation of compliance with multi-cloud and edge environments.
It doesn’t stop there. Security Team is also flooded with an overwhelming range of security alarms, inconsistent controls, fragmented governance and visibility holes as organizations expand their technological footprints across different platforms – creating blind spots that sophisticated attackers easily utilize.
A 2025 Henable Cloud AI -Risikor Report reveals that 70% of Sky -I -workloads in cloud environments do not have osfill vulnerabilities that leave data exposed.
Unfortunately, many organizations are still dependent on conventional security solutions to tackle these risks. Traditional approaches to tackling security risks with AI applications may not be sufficient. Traffic generated from AI Applications tends to be distributed and latency sensitive, so implementing all security tools in the data center can provide a safe but subplimal experience. It is imperative to enforce security of the optimal path between users and the application or between model consumers and the models.
How VeloCloud Solutions improves the security of AI clear business
Companies that adopt AI-powered applications require networks that can dynamically adapt to developing workloads while providing security enforcement on an optimal path outside the data center.
Velocloud addresses these challenges with Velorain, an AI-driven network architecture designed to improve security, performance and scalability for distributed AI workloads.
VeloCloud Sase is built using Velorain Architecture, which offers modular components that include Velocloud SD-Wan for secure campus and branch connection, Velocloud SD access to ZTNA-based Remote User Access and Symantec SSE for Velocloud for security enforcement in the cloud.
VeloCloud Dynamic Multipath Optimization ™ (DMPO) technology is improved with AI to analyze real -time network conditions and choose the best trails for traffic in a way that ensures reliability across multiple networks. Completement of this is dynamic application -based cutting (DABs), designed to improve performance by prioritizing critical applications and assigning bandwidth accordingly. Together, these technologies maintain optimal quality of experience (QOE) by adapting to network fluctuations and application requirements, even in complex, multi-cloud environments.
Its AI-driven approach enables real-time identification and real-time policy enforcement, ensuring that AI workloads receive the necessary priority and protection.
Features that separate Velorain
Unlike traditional SD-Wan solutions that depend on static policies, Velorain Dynamic Network Resources is adjusting based on AI-driven traffic patterns to mitigate the benefit of bottlenecks and reduce attack surfaces.
Below are four important ways Velorain can benefit your organization:
AI-driven threat protection
VeloCloud Sase uses AI to gather, analyze, discover and act according to developing threats. By processing billions of threat signals from various sources, including final points, emails and internet traffic, it enables proactive defense against zero-day attacks and develops cyber threats. Powered by Symantec Global Threat Intelligence Network Solution enables companies to meet their security and observational needs with the changing nature of threat landscapes.
Path optimized security
VeloCloud Sase gives customers flexibility to configure security policies centrally and enforce these policies in the branch or in the cloud. Industry enforcement is enabled by the original integration of improved firewall services on the Velocloud SD-Wan apparatus. Cloud enforcement benefits from VeloCloud’s global network of SASE -ADDITIONAL POINTS Optimally located closer to public cloud and saas -application suppliers.
Securing data in motion
When users have access to applications, data is transferred between branch, campus, remote locations, cloud and data center. This data must be protected and any chance of loss of data for threat players must be prevented. The Velocloud Sase allows only authorized users to access AI applications, and by doing so encrypts all data that is exchanged. Any attempts to exfiltrating this data are monitored and blocked.
Optimized performance for AI applications
AI work loads require high bandwidth and low latency connection. Velorain-based solutions analyze continuous network conditions and adapt application traffic to real-time to maintain optimal performance. This ensures that AI models, including interconnected AI agents, receive uniform network quality without disturbance. The platform also integrates AI-driven telemetry to predict and assign bandwidth effectively, as well as prevent overload and ensure trouble-free application performance.
Conclusion
When companies embrace AI-driven applications across distributed environments, robust network security becomes most important. Velocloud, a Broadcom department, exploits Velorain’s power, its AI-enhanced architecture to provide advanced security, trouble-free performance and scalability that surpassed conventional solutions. Velocloud, tailored to protect data and AI models on the edge and in the cloud, allows organizations to mitigate risks while ensuring a unique user experience.
Visit Velocloud today to learn how the solution can improve your company’s safety and resilience.