John Brown
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A10 Networks Launches AI Gateway to Strengthen Enterprise AI Control
A10 AI Gateway is helping enterprises gain centralized control over increasingly complex artificial intelligence environments by combining intelligent model routing, cost management, security, observability, and governance. A10 Networks announced the general availability of the platform at Black Hat USA 2026 in Las Vegas, positioning it as a control plane for AI agents, applications, and large language models (LLMs).As organizations expand their use of AI, teams are working with a growing number of models and applications. Without centralized oversight, businesses can struggle to determine which models are being used, how much AI workloads cost, and whether users have appropriate access. The A10 AI Gateway is designed to bring these activities into a unified environment.
Centralizing Enterprise AI Management
The A10 AI Gateway provides organizations with a centralized control layer for AI interactions. It brings routing, governance, observability, security, and cost management together so businesses can manage AI usage more consistently.The platform is designed to help organizations understand how AI is being used across teams while giving administrators greater control over access to models and applications. This can be particularly valuable for enterprises managing multiple AI services and increasingly sophisticated workloads.
By providing a single control point, the gateway can also help organizations improve operational efficiency and establish clearer policies around enterprise AI adoption.
Intelligent AI Model Routing
One of the platform's key capabilities is complexity-aware smart routing. Instead of relying only on static routing rules, the A10 AI Gateway evaluates the nature and complexity of an AI request before determining which model should process it.Simpler requests can be directed toward smaller and more cost-efficient models, while complex or reasoning-intensive tasks can be routed to more capable models. This approach gives organizations an opportunity to balance performance, model capabilities, and spending.
The routing process is designed to happen automatically, reducing the need for users to manually select an appropriate model for every request.
Identity-Based AI Access Controls
The platform also introduces identity-based controls for enterprise AI access. Organizations can establish access and routing policies based on individual users or groups, such as engineering, finance, or other business teams.These policies can work with existing directory systems, allowing businesses to apply different AI permissions according to organizational roles and responsibilities.
This approach can help enterprises establish more consistent governance while ensuring users receive access to the models and AI capabilities appropriate for their work.
Real-Time AI Cost Management
AI costs can become difficult to manage as organizations increase their use of multiple models and AI applications. The A10 AI Gateway addresses this challenge with real-time cost tracking at the individual-request level.The platform provides cost visibility in dollars and supports token budgets at both model and team levels. Administrators can establish hard spending limits as well as soft-limit alerts to monitor AI consumption.
These capabilities can help finance and IT teams understand where AI spending is occurring and identify workloads that may benefit from more efficient model selection.
Token Budgets and Rate Limiting
In addition to cost tracking, organizations can establish token budgets to control AI consumption. Budgets can be applied to individual models and teams, helping enterprises prevent unexpected increases in AI usage.The platform also supports business-layer rate limiting through requests per minute (RPM) and tokens per minute (TPM). These controls can be applied by key or team to help protect shared AI resources and maintain predictable usage.
Together, these features provide organizations with greater control over how AI resources are consumed across the business.
Improving AI Observability
Visibility is another central component of the A10 AI Gateway. The platform gives organizations a consolidated view of AI usage, allowing teams to understand how different users and departments interact with models.Centralized observability can help businesses identify usage patterns, evaluate model selection, monitor costs, and strengthen governance. It can also give IT teams more information when investigating unusual activity or optimizing AI infrastructure.
As AI becomes embedded in more enterprise applications, this type of visibility can become increasingly important for maintaining operational control.
Supporting Secure AI Operations
A10 Networks is positioning the AI Gateway as part of its broader AI security strategy. The platform complements A10's TrojAI and ThreatX solutions, creating a broader approach to securing AI environments across different stages of the technology lifecycle.The company's approach extends from testing AI systems before deployment to protecting workloads at runtime and enforcing controls at the network and API layers.
This broader strategy recognizes that AI security requires more than protecting individual models. Organizations also need controls around users, applications, APIs, data, traffic, and AI agents.
Deployment for Sensitive AI Environments
The A10 AI Gateway can support deployment within customer-controlled environments, including on-premises and private cloud infrastructure. It can also operate in air-gapped environments, which can be important for organizations with strict security, compliance, or data sovereignty requirements.Keeping AI infrastructure within controlled environments can provide organizations with greater authority over data, models, and security policies. This is particularly relevant for industries and institutions that cannot easily move sensitive workloads into externally hosted environments.
Helping Enterprises Scale AI With Greater Control
The launch comes at a time when organizations are moving beyond AI experimentation and incorporating AI agents, LLMs, and intelligent applications into everyday operations. This expansion creates opportunities for greater productivity but also introduces challenges around governance, security, and cost.A10 Networks' new gateway is designed to address these challenges through a combination of intelligent routing, identity-based access, spending controls, observability, and security capabilities.
By directing each request toward an appropriate model and monitoring across teams, enterprises can pursue AI usage adoption while maintaining stronger operational oversight.
A Unified Approach to Enterprise AI
The A10 AI Gateway represents a shift from basic AI traffic management toward a more comprehensive control model. Instead of simply managing API requests, the platform combines model selection, access policies, cost controls, rate limits, and visibility in a single environment.As enterprises adopt more AI models and autonomous agents, centralized control will become increasingly important. Organizations need to ensure that AI systems remain efficient, secure, and aligned with business policies while allowing teams to take advantage of rapidly advancing technologies.
With the launch of the A10 AI Gateway, A10 Networks is expanding its AI portfolio with a platform designed to help businesses manage AI operations at scale. By combining intelligent routing with cost management, governance, and security, the company aims to give enterprises greater confidence and control as they expand their use of artificial intelligence.
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