AI Gateway

Centralize and Control Enterprise AI Access

Route all AI traffic through a governed access layer that connects users and agents to approved AI services with visibility, security, usage control, and cost optimization.

The Challenge

  • AI agents can call tools, access data, and trigger workflows faster than humans can review them.
  • Agent ownership, identities, permissions and connected tools are often fragmented across platforms.
  • Prompt injection, privilege misuse and destructive actions can occur during runtime.
  • The Solution

    Guardian Agent provides an independent oversight layer that maps agent activity, evaluates risk and enforces policy before agents perform unsafe actions.

    Core Capabilities & Mechanics

    AI Traffic Routing & Control:

    Route all AI API calls through a single gateway to enforce governance and standardize access to external AI providers.

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    Usage & cost Visibility:

    Track AI consumption across users, teams, projects, models, and providers to gain a clear breakdown of spend and usage patterns across the organization.

    Multi-Provider AI Management:

    Support and manage usage across OpenAI, Amazon Web Services, Google Cloud, and local AI services, ensuring consistent governance regardless of provider.

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    Policy Enforcement:

    Apply real-time policies to control which AI services can be accessed, who can use them, how data is shared, and what use cases are permitted.

    Data & Prompt Monitoring:

    Control which tools, MCP servers, and systems agents can access.

    Benefits

    Eliminate blind spots in AI API usage and consumption.

    Reduce uncontrolled AI spend with usage visibility and policy limits.

    Protect API credentials and standardize provider access.

    Give developers governed access without rebuilding every application.

    FAQ Quick Access

    Frequently Asked Questions

    What is the AI Gateway?
    The AI Gateway is a governed access layer that routes AI API traffic through a central point, giving organizations visibility and control over how users, teams, applications, and providers access AI services.
    Which AI providers can be managed?
    The AI Gateway can support external and internal AI services, including OpenAI, Amazon Bedrock, Google Vertex AI, Google Cloud AI services, local AI models, private cloud models, and custom AI services.
    What can the AI Gateway monitor and control?
    It can monitor prompts, usage patterns, models, providers, users, teams, projects, cost, and consumption. It can also enforce policies around service access, data sharing, approved use cases, and responsible AI usage.

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