Impulsionando capacidades críticas para cargas de trabalho GenAI gerenciadas por TI
Aplique roteamento, limites de taxa e controles de fallback para que a IA nunca viole os SLOs/SLIs existentes ou impacte serviços upstream
Direcione todo o acesso à IA através do AI Gateway com RBAC, restrições de saída e registro de auditoria, eliminando o uso não autorizado de modelos
Alimente latência, taxas de erro e uso de tokens para Datadog / New Relic para que as Operações de TI possam monitorar e governar o tráfego de GenAI
Plataforma unificada para governar GenAI em todos os sistemas de produção
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AI Gateway Unificado para governança centralizada da produção
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- Encaminhe todo o tráfego de LLM através do AI Gateway / LLM Gateway com RBAC, mapeamento de identidade (Okta/Azure AD) e controles de saída
- Execute modelos dentro de VPCs ou data centers usando o AI Gateway on-premise ou a Plataforma AI on-premise para evitar movimentação descontrolada de dados
- Control how agents access tools, MCP servers, and enterprise systems through a governed interface rather than exposing credentials or backend systems directly
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Salvaguardas para proteger a estabilidade da produção
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- Aplique cotas, limites de taxa e portões de aprovação por aplicativo ou microsserviço
- Mantenha a fixação de versão e os fluxos de reversão para que as alterações de GenAI nunca contornem o gerenciamento de mudanças
- Identify where AI is creating value, where costs are concentrated, and where operational inefficiencies are emerging before they become structural

MCP Gateway para automação segura dentro de sistemas de TI
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- Forneça ações de agente com escopo bem definido em ServiceNow, Jira Service Management e ferramentas de alerta através do MCP Gateway / Agent Gateway
- Restrinja as permissões do agente através de um registro MCP gerenciado com autorização em nível de comando
- Log every request, policy decision, and tool interaction at the gateway so the organization can support audit, compliance, and incident review requirements

Support enterprise AI strategy without vendor lock-in
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- Operate multi-model, multi-cloud, and hybrid environments through one abstraction layer that preserves flexibility as business requirements change
- Evaluate new vendors, new model families, or new agent frameworks without rebuilding governance, observability, or access controls for each addition
- Preserve architectural optionality while maintaining consistent controls across the platform

Create the operating foundation for enterprise AI scale
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- Self-host in your VPC and apply enterprise security boundaries, audit requirements, and deployment controls without fragmenting the AI stack
- Standardize how AI is introduced across teams so experimentation, rollout, monitoring, and governance happen through the same operational model
- Reduce the overhead of managing disconnected point solutions while increasing consistency across the enterprise AI portfolio
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Enterprise AI workflows you can standardize and scale on TrueFoundry
Deploy RAG copilots connected
to internal systems
Coordinate workflows across systems like Salesforce, Jira, Slack, and internal APIs.
Provide governed access to approved models, prompts, tools, and workflows across departments.
Trigger actions across enterprise
systems with approvals and policy
enforcement.
Deploy AI systems handling sensitive data with centralized logging, redaction, and auditability.
Coordinate specialized agents across retrieval, reasoning, and execution workflows with execution tracing.
With TrueFoundry’s AI Gateway, we finally have one consistent interface for all model providers, policies, and telemetry. It eliminated the overhead of managing keys, routing logic, and scattered observability. Introducing new models is now just configuration. The Gateway has improved developer velocity, reduced DevOps burden, and helped us operate multimodel systems with real-time insights and governance.

Infraestrutura de GenAI - simples, mais rápida, mais barata
Confiado pelas Principais Equipes de ITOps para Escalar GenAI
















