Contemporary corporations are embracing AI applications, specifically generative AI (GenAI), at a swift pace. This introduces fresh network security obstacles to already intricate enterprise workloads spanning data centers, campuses, clouds, branches, and remote user locations.
The adoption of AI products is transforming network data. By the year 2026, an approximate of over 80% of firms might have embraced generative AI APIs or applications. Nonetheless, a recent investigation by McKinsey indicates that less than half are prepared to manage the associated cybersecurity threats.
The improper use of AI by employees is also on the increase — with no oversight from IT — further laying bare organizations to cyber breaches.
Developers of AI models and applications are embedding innate security measures within these applications. Concurrently, IT teams are bolstering their security stance within the data center. Nonetheless, malevolent actors scout for vulnerabilities in common entry points like users, devices, and applications at the edge or in the cloud. VeloCloud, a segment of Broadcom, has devised an AI-centric architecture to cater to the requirements of an AI-ready organization.
The Necessity of AI Security Solutions in Contemporary Network Architecture
With approximately 47% of organizations citing adversarial capabilities empowered by generative AI (GenAI) as their primary cybersecurity concern, the dangers of data breaches and non-compliance are escalating in multi-cloud and edge environments.
But it doesn’t end there. Security teams are also bogged down by a myriad of security alerts, erratic controls, fragmented governance, and visibility gaps as organizations expand their technological footprint across assorted platforms — generating blind spots that adept attackers promptly exploit.
A report by Tenable Cloud AI Risk in 2025 sheds light on the fact that 70% of cloud AI workloads in cloud environments have unresolved vulnerabilities that expose data.
Regrettably, many organizations are still dependent on traditional security solutions to tackle these risks. Traditional methods to address security risks associated with AI applications might prove to be inadequate. Traffic stemming from AI applications tends to be distributed and sensitive to latency, hence deploying all security tools at the data center could ensure security but at the expense of optimal performance. It is vital to enforce security on the most efficient route between users and the application, or between consumers of models and the models themselves.
Enhancing Security for AI-Ready Enterprises with VeloCloud Solutions
Corporations integrating AI-powered applications necessitate networks that can flexibly adjust to evolving workloads while applying security enforcement on an optimal route beyond the data center.
VeloCloud tackles these hurdles with VeloRAIN, an AI-fueled networking architecture devised to enrich security, performance, and scalability for distributed AI workloads.
VeloCloud SASE is founded on the VeloRAIN architecture offering modular components that encompass VeloCloud SD-WAN for secure campus and branch connectivity, VeloCloud SD-Access for ZTNA-based remote user access, and Symantec SSE for VeloCloud for security enforcement in the cloud.
VeloCloud’s Dynamic Multipath Optimization™ (DMPO) technology is undergoing enhancements with AI to analyze network conditions instantaneously and select the optimal paths for traffic to ensure consistency across multiple networks. Complementing this is Dynamic Application-Based Slicing (DABS), crafted to elevate performance by prioritizing crucial applications and allocating bandwidth accordingly. In concert, these technologies uphold optimal Quality of Experience (QoE) by adapting to network variations and the exigencies of applications, even in intricate, multi-cloud setups.
Its AI-fueled methodology enables real-time identification of applications and enforcement of policies, guaranteeing that AI workloads deserve the requisite prioritization and safeguarding.
Standout Features of VeloRAIN
In distinction to customary SD-WAN solutions that hinge on fixed policies, VeloRAIN dynamically allocates network resources based on AI-prompted traffic patterns to alleviate performance bottlenecks and diminish areas vulnerable to attacks.
Below are four primary ways through which VeloRAIN can enhance your establishment:
AI-Based Threat Defense
VeloCloud SASE leverages AI to amass, assess, detect, and counter evolving threats. By analyzing billions of threat cues from diverse sources like endpoints, emails, and internet traffic, it empowers proactive defense against zero-day assaults and advancing cyber threats. Driven by the Symantec Global Threat Intelligence Network, the solution empowers corporations to align with their security and compliance requisites amidst the evolving threat landscapes.
Optimized Security Routes
VeloCloud SASE grants users the flexibility to centrally configure security policies and execute these policies at the branch or in the cloud. Enforcing policies at branches is facilitated by the organic integration of enhanced firewall services on the VeloCloud SD-WAN appliance. Cloud enforcement leverages VeloCloud’s global network of SASE touchpoints optimally stationed nearer to public cloud and SaaS application providers.
Securing Data Transit
During user interactions with applications, data gets transmitted between branch offices, campuses, remote locations, clouds, and the data center. This data must be shielded, and any prospects of data leakage to ill-intentioned actors muzzled. VeloCloud SASE only permits authorized users to access AI applications and encrypts any exchanged data. Attempts to siphon off that data are monitored and obstructed.
Performance Optimization for AI Applications
AI workloads necessitate high bandwidth and low-latency connections. Solutions based on VeloRAIN incessantly scrutinize network conditions and adjust application traffic instantaneously to uphold optimal performance. This assures that AI models, inclusive of interconnected AI agents, experience consistent network quality without disruptions. The platform also merges AI-powered telemetry to anticipate and efficiently allocate bandwidth, forestall congestion, and ensure uninterrupted application performance.
Closing Remarks
As corporations adopt AI-led applications across dispersed environments, resilient network security is indispensable. VeloCloud, an arm of Broadcom, harnesses the prowess of VeloRAIN, its AI-perfected architecture, to furnish state-of-the-art security, seamless performance, and scalability that surpass conventional solutions. Custom-tailored to shield data and AI models at the edge and in the cloud, VeloCloud equips organizations to neutralize risks while sustaining an exceptional user journey.
Explore VeloCloud today to fathom how the solution can amplify your enterprise’s security and resilience.
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