AI Gateway

Govern & Scale Agentic AI with Confidence

Secure data sovereignty, govern agent access, and control token costs with the independent backbone enterprises trust. Designed to securely orchestrate AI traffic across a "multi-everything" architecture (multi-LLM, multi-MCP, and multi-gateway). Scale safely and avoid single-vendor lock-in, all without disrupting your existing multi-vendor API ecosystem.

Vídeo

Minimize Shadow AI and Agentic Disruption

Use Sensedia as your independent backbone to control how autonomous agents interact with enterprise data. Enforce Zero-Trust policies and data sovereignty to prevent unauthorized actions and prompt-injection breaches caused by ungoverned "Shadow AI".

Orchestrate AI Traffic with a "Multi-Everything" Architecture

Dynamically route requests and switch providers with zero downtime across a "multi-everything" ecosystem—multi-LLM, multi-MCP, and multi-gateway—preventing painful "rip-and-replace" lock-in.

Gain First-Party Observability to Control AI Spend

Stop misbehaving agents before they cause unpredictable token-cost blowouts. Track deterministic and agentic traffic natively in a single pane of glass using first-party observability.

Safety harness

Prevent Agentic AI from Failing Before It Scales

Transform fragmented AI adoption (Shadow AI) into centralized agent control. Ultimate governance to centralize, secure, and control agent behavior and model integration without increasing architectural complexity.

Governance as a platform capability

Embrace a "Multi-Everything" Architecture

Enable architectural agility with dynamic routing and permanent decoupling Betting on a single AI vendor's governance is a trap. Flex your AI stack by permanently decoupling your control plane from the execution runtime.

Cost visibility

Gain First-Party Observability to Control AI Spend

Stop token-cost blowouts with a single pane of glass. Maximize your ROI and eliminate cost silos with an independent, unified command center to audit, optimize, and govern LLM consumption across your entire enterprise.

Harness the Power of Agentic AI with an Independent Backbone

Because agentic AI will fail in production before it scales if it isn't governed from day one, enterprises must implement clear guardrails early. Innovate faster, ensure strict data sovereignty, and control agent access by governing token costs through an independent backbone. This single, transparent control plane permanently decouples from your runtime to securely orchestrate a "multi-everything" architecture (multi-LLM, multi-MCP, multi-gateway).

Additional Products

Discover our entire suite of products

product logo

API Management Platform

Easily manage the full lifecycle of your APIs.

product logo

Integrations

Create and manage integration flows with ease.

product logo

SMART API Governance

Ensure the security and flexibility of your architecture with confidence.

product logo

Events Hub

Enable event distribution that react to business moments in real-time.

product logo

Open Banking

Ignite Open Banking initiatives with our turnkey FDX API solution.

Frequently asked questions

Find here the answers to the most common questions about Sensedia’s AI Gateway

What is an AI Gateway?

Gartner defines an AI gateway as a technology or platform that acts as an intermediary between applications and various artificial intelligence (AI) services or models. Its purpose is to simplify and manage access to AI capabilities, providing a central point to enable security, governance and observability of AI workloads.

How does Sensedia’s AI Gateway work?

Sensedia AI Gateway is a middleware connectivity hub between your APIs, agents and external AI solutions that governs and secures the communications, adding centralized routing, policy enforcement, visibility, and helping optimize reliability and costs.

Is Sensedia’s AI Gateway appropriate for my business?

Our gateway is ideal for enterprises experimenting with, adopting, and scaling AI agents and generative AI across complex ecosystems, who need enhanced governance to centralize, to manage AI costs, to secure, to control agent access within defined guardrails without increasing architectural complexity or relying on a siloed single vendor-centric product.

To which components of my technology stack can Sensedia’s API Gateway integrate?

With Sensedia’s AI Gateway you can natively integrate with the main components of your stack such as AI gateways, agent portals, API gateways, LLM providers, policy enforcement, Analytics and iPaaS with automatic synchronization, continuous management and greater agility in governance.

What are the risks of not having an AI Gateway?

Without this independent backbone, agentic AI will fail in production before it scales. Lacking this centralized control exposes the company to critical threats:  reputational damage from toxic content, data leakage (PII) violating GDPR/LGPD, and uncontrolled costs from unmonitored LLM usage. Furthermore, firms risk intellectual property theft, development bottlenecks due to poor governance, and systemic downtime if a provider fails without a fallback—risks that can be mitigated through centralized gateway control.

Why is the Sensedia AI Gateway the best choice?

The Sensedia AI Gateway acts as the independent backbone that enterprises trust to connect and govern every agent, API, and integration across any application infrastructure. It unites API governance with agentic AI into one agnostic control plane, seamlessly bridging deterministic systems and non-deterministic LLMs. By permanently decoupling the control plane from the execution runtime, it ensures a true "multi-everything" architecture (multi-LLM, multi-MCP, multi-gateway) that gives customers full observability and FinOps control across any AI framework, eliminating the painful "rip-and-replace" cycles caused by vendor lock-in.

Which are the main AI risks that the Sensedia AI Gateway resolves?

Sensedia recognizes that agentic AI will fail in production before it scales if left ungoverned. The Sensedia AI Gateway acts as a centralized control plane to neutralize five primary threat vectors:

  • Reputational Risk (Prompt Injection): Content guardrails filter inputs and outputs to block toxic behavior and jailbreaking attempts.
  • Sensitive Data Leakage: Real-time PII redaction masks sensitive data before it reaches public models to protect data sovereignty.
  • Cost Explosion (Denial of Wallet): Rate limiting and caching restrict user requests and store repeated answers to reduce token costs.
  • Intellectual Property Theft: Output scanning prevents the AI from leaking internal business logic and system prompts.
  • Downtime: A "multi-everything" architecture automatically switches to backup models if a primary vendor goes offline, ensuring continuous availability.

Elevate your AI strategy with governance and control

Adopt a modular, multi-model connectivity hub that enables dynamic routing and seamless model switching with architectural agility across multiple gateways, AI models and emerging protocols.