Identity gap
No reliable way to tie an agent action back to a real user
AI agent governance
Secure AI agent access to LLM providers, MCP servers, SaaS apps, internal APIs, and enterprise tools with identity-aware policies, rate limits, budget controls, credential brokering, and audit logs.











Governance gap
Agents can already search data, call APIs, update tickets, trigger workflows, and act across SaaS and internal systems. In many enterprises, those connections are still held together with direct endpoints, broad tokens, and inconsistent controls.
No reliable way to tie an agent action back to a real user
No central control over which tools or actions an agent can use
No audit-ready record when something goes wrong
Agent Gateway
Agent Gateway is the inline enforcement layer for AI agents. It gives enterprises one place to control access, broker credentials, and audit agent activity across MCP servers, APIs, SaaS apps, and internal tools.
Decide which agents can reach which tools, APIs, and resources based on the real user, the agent, the action, and the environment.
Exchange or inject the right downstream credential at runtime so agents never hold API keys, OAuth tokens, or service credentials directly.
Record who initiated the action, which policy applied, what the agent attempted, and whether it was allowed, denied, or routed for approval.
Built for teams
Centralize policy for agent access across tools and systems. Reduce overprivileged integrations, hidden credentials, and ungoverned actions.
Extend enterprise identity into agent workflows. Enforce least privilege, manage downstream credentials safely, and avoid custom security work in every connector.
Roll out AI-enabled workflows without losing control. Standardize governance, reduce operational risk, and speed adoption.
Delivery
Route agent-to-tool traffic through one enforcement layer instead of relying on each MCP server, API, or SaaS connector to implement security differently.
Evaluate access using both agent identity and real user identity from Entra ID, Okta, AWS, or any OIDC/SAML provider.
Handle federated token exchange, OAuth token management, and vaulted credentials for legacy systems. Agents never hold secrets.
Control what each agent can do at the tool, action, endpoint, or resource level. Allow what is needed and deny the rest by default.
Require stronger controls for sensitive actions such as bulk exports, destructive updates, or high-risk workflows.
Capture who initiated an interaction, what was attempted, what policy applied, and what happened next.
Deployment
Keep traffic and control points inside your datacenter or private network.
Run in your own AWS, Azure, or GCP environment close to the agents, tools, MCP servers, or internal APIs you need to govern.
Adopt quickly with a managed deployment option from Datawiza.
Coverage
The same identity, policy, and audit model applies everywhere - regardless of protocol. Agents connecting to a Salesforce MCP server and agents calling a ServiceNow REST API go through the same governance layer.
Internal and SaaS-hosted MCP servers.
Enterprise REST and HTTP APIs.
Microsoft 365, Salesforce, ServiceNow, Jira, and other SaaS applications.
Internal tools, services, and custom integrations.
Workflow
In common proxy-based deployments, the main change is routing agent traffic through the Datawiza Agent Gateway instead of directly to the target tool or system.
Use cases
Put Agent Gateway in front of internal or external MCP servers that do not have enterprise-grade access control.
Expose internal services to agents without issuing broad credentials.
Govern how agents interact with Microsoft 365, ServiceNow, Jira, Salesforce, and similar platforms.
Require human review before destructive operations, sensitive data exports, or business-critical workflow changes are executed.
Build an audit trail for agent behavior across tools and systems, with exports to your SIEM and compliance workflows.
Why Datawiza
Secure agent access by routing traffic through the gateway instead of modifying every agent or downstream system.
Carry real user identity and agent identity into every policy decision.
Handle token exchange, OAuth lifecycle management, and vaulted secrets without exposing credentials to agents.
Next step
Datawiza MCP Gateway is a focused solution built on Agent Gateway for organizations that want dedicated control over MCP traffic, tool-level policy, token brokering, and audit visibility.
FAQ
No. MCP is an important and rapidly growing access pattern, but Agent Gateway is designed to govern agent access across MCP servers, REST APIs, SaaS tools, internal services, and agent-to-agent protocols like Google A2A.
API gateways were built for application and service traffic. Agent Gateway is built for agent-mediated access, where the gateway needs to understand the real user behind the agent, apply tool- and action-level policy, broker downstream credentials, support approvals, and create an audit record for each action.
Yes. Agent Gateway is designed to sit inline between agents and the systems they access, so it can govern third-party agents, internal copilots, MCP clients, and custom agent frameworks without requiring code changes to the downstream systems.
No. Agent Gateway deploys inline as a proxy. The only change is pointing the agent's endpoint URL from the direct system to the gateway URL. No SDK, no code changes to the agent, no code changes to the downstream system. This is the same no-code deployment model Datawiza uses for identity modernization.
The gateway supports three patterns: federated token exchange for cloud-native services (Entra ID OBO, AWS STS AssumeRole, Google impersonation, RFC 8693), OAuth linking with a secure vault for SaaS platforms where users authenticate once and the gateway manages the token lifecycle, and a credential vault for legacy systems that only accept API keys or PATs. Agents never see or hold any downstream credentials.
Datawiza supports Microsoft Entra ID, AWS IAM via OIDC federation, Okta, Ping Identity, and any standard OIDC or SAML identity provider. The gateway maps enterprise identities to agent sessions regardless of which IdP you use.
Security teams, IAM teams, platform engineering teams, and IT leaders responsible for governing AI agent deployments in production environments.
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