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A10 Networks Launches AI Gateway for Unified AI Management and Governance
To address these challenges, A10 AI Gateway consolidates AI usage across the organization into a single management platform, providing an environment in which enterprises can operate AI efficiently and securely. A10 Networks announced that A10 AI Gateway, an intelligent control plane for centrally
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A10 Networks Launches A10 AI Gateway, an Intelligent Control Plane for Unified Management of All AI Operations
Centralizes AI model visibility, cost management and governance to support secure AI adoption within customer environments A10 Networks today announced that A10 AI Gateway, an intelligent control plane for centrally managing AI use across organizations, is scheduled to become available in the
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A10 Networks has announced A10 AI Gateway, an intelligent control plane scheduled for Q4 2026 release. The platform addresses enterprise challenges in managing multiple AI models by providing unified routing, cost management, and governance across AI agents, applications, and large language models while maintaining data sovereignty.
A10 Networks has announced the upcoming launch of A10 AI Gateway, an intelligent control plane designed to centralize AI management across organizations. Scheduled to become available in the fourth quarter of 2026, the platform addresses growing enterprise challenges in managing multiple AI providers and models
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. The solution provides unified routing, cost management, and governance across AI agents, applications, and large language models (LLMs) used by organizations.As AI adoption rapidly expands, enterprises face mounting pressure to embed AI agents and generative AI capabilities into business applications while maintaining visibility and control. The proliferation of AI providers has created significant challenges: organizations struggle to track which models are being used, understand associated costs, and ensure appropriate governance and security measures are in place. A10 AI Gateway consolidates AI usage across the organization into a single management platform, enabling enterprises to operate AI efficiently and securely
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.The A10 AI Gateway moves beyond static routing policies by evaluating the complexity and type of each AI request. The platform automatically routes simple tasks to more cost-efficient models while directing tasks requiring advanced reasoning to more capable models
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. This smart routing for AI requests helps organizations optimize performance while managing costs effectively.AI requests vary widely across organizations, from simple processing tasks to workloads demanding advanced reasoning capabilities. The platform selects the appropriate AI model based on the content of each request and applicable usage policies, while centralizing visibility into AI usage and costs. This approach helps optimize performance, manage costs, strengthen security, and implement governance while giving developers and users access to the right AI models for their specific needs
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.As a unified control plane, A10 AI Gateway provides real-time, per-request cost tracking in dollars, enabling organizations to monitor AI expenditures with precision. The platform offers per-model and per-team token budget management with hard limits and soft-limit alerts, along with usage controls measured in tokens per minute (TPM) and requests per minute (RPM) by key or team
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. This centralized cost and traffic management capability provides organizations with comprehensive visibility into AI usage patterns while supporting effective governance.The platform addresses a critical enterprise need: as the use of multiple AI providers and AI models grows, it becomes increasingly difficult to understand cost structures and implement appropriate oversight. Organizations require a management platform that can optimize AI performance, reduce latency, streamline security operations, and control AI-related costs
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.The A10 AI Gateway synchronizes with existing local directory systems to apply access and routing policies by user or group. Organizations can configure different AI models and usage policies for distinct teams—for example, establishing separate configurations for engineering and finance departments
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. This identity-based access control ensures that different organizational units can leverage AI capabilities appropriate to their specific requirements while maintaining centralized oversight.Related Stories
The A10 AI Gateway complements A10 Networks' existing AI security portfolio, including TrojAI, A10 AI Firewall, and ThreatX. The platform supports security across the full AI lifecycle, from pre-deployment testing and runtime protection to controls at the network and API layers
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. This integration provides organizations with comprehensive protection as they scale AI operations.A10 AI Gateway is available as standalone software or with integrated hardware and can run entirely within the customer's own environment, including on-premises, private cloud, and air-gapped environments. This deployment flexibility enables organizations to maintain control over their models, data, and policies while preserving data sovereignty—an advantage that cloud-hosted and edge-bound gateways cannot match
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.Dhrupad Trivedi, president and CEO of A10 Networks, emphasized the platform's value proposition: "Enterprises are being asked to move fast on AI and stay in control at the same time. AI use is spreading faster than teams can discover, govern, or secure it, driving up cost and leaving no single place to set the rules. The A10 AI Gateway gives organizations one intelligent control plane to see how AI is being used, to govern who can access which models, and match every request to the right model at the right cost"
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.The announcement signals A10 Networks' strategic positioning in the enterprise AI management market as organizations seek solutions that balance rapid AI adoption with robust governance and cost control. As enterprises accelerate AI integration across business applications, platforms that provide centralized visibility and control while maintaining data sovereignty will become increasingly critical for successful AI operations at scale.
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