Datawiza

AI agent governance

Datawiza Agent Gateway: Secure and Govern AI Agent Access

Secure AI agent access across APIs, MCP, and A2A with identity-aware controls, data loss prevention (DLP), and PII protection. Govern tool use, inspect requests and responses, protect credentials, and audit each action.

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Datawiza Agent Gateway enforcing identity-aware access between AI agents, enterprise tools, MCP servers, APIs, and other agents
Clarity
Kia
Emirates Flight Catering
Roy Jorgensen
New American Funding
Lifeway
Omnitier
California Association of Orthodontists
Scot Forge
Claremont Graduate University
Ajinomoto Foods North America

Governance Gap

AI agents already have access. Governance has not caught up.

AI agents can search enterprise data, call APIs, invoke MCP tools, update SaaS applications, trigger workflows, and delegate tasks to other agents. In many enterprises, these access paths still rely on direct endpoints, broad tokens, shared credentials, and inconsistent controls.

Identity gap

Agent actions are often logged under shared or service identities, making it difficult to identify both the responsible user and the acting agent.

Policy and data protection gap

Agents need controls over both the actions they take and the PII, credentials, and confidential data those actions can expose.

Audit gap

Logs are fragmented across agents, MCP servers, APIs, SaaS applications, and downstream systems, making investigations and access reviews difficult.

Agent Gateway

What is an Agent Gateway?

An Agent Gateway is the runtime enforcement layer between AI agents and the tools, enterprise systems, or other agents they access through APIs, MCP, or A2A. Datawiza combines identity and action policies with DLP and PII protection to govern both agent access and the data exchanged in agent workflows. Verify the user and agent, authorize the action, inspect sensitive content, broker the approved credential, and record the outcome.

Control access

Decide which users and agents can reach which tools, systems, resources, actions, and other agents based on identity, delegation, and runtime context.

Protect sensitive data

Apply data loss prevention (DLP) to agent requests and tool results. Detect PII, credentials, and confidential data, then block or redact sensitive content according to policy.

Broker downstream credentials

Exchange, retrieve, or inject the approved downstream credential at runtime without exposing backend tokens, API keys, or legacy secrets to the agent.

Audit every action

Record the initiating user, acting agent, target, requested action, policy decision, credential event, approval state, and outcome.

Workflow

How Datawiza Agent Gateway works

Route agent traffic through Datawiza to enforce identity, access, and data-protection policies in one workflow. Inspect outgoing requests and returned content, broker credentials, and record what each agent does.

  1. 1Agents connect through DatawizaAI agents, copilots, assistants, MCP clients, and agent frameworks send API, MCP, or A2A requests through the Datawiza Agent Gateway.
  2. 2Identity and delegation are establishedDatawiza validates the available user, agent, client, application, team, tenant, and environment context, including whether an agent is acting for a user, autonomously, or for another agent.
  3. 3The requested resource and action are identifiedThe gateway identifies the target MCP server, tool, API, endpoint, SaaS operation, enterprise resource, other agent, or A2A skill involved in the request.
  4. 4Access and data policies are evaluatedDatawiza evaluates identity, action, parameters, and risk, then inspects request content against DLP policies. Allow, deny, redact, limit, or require approval as the applicable policy directs.
  5. 5Credentials are brokered and approved requests proceedFor approved requests, the gateway exchanges, retrieves, or injects the appropriate downstream credential and forwards the request to the protected destination.
  6. 6Results are protected and outcomes recordedInspect returned content and block or redact sensitive values according to policy before delivery to the agent. Record the identity chain, access decision, DLP outcome, and credential event for review.

Runtime Controls

Zero-trust controls enforced at runtime

Zero-trust identity and context

Treat every agent action as a new authorization decision. Validate both the real user and the acting agent using identity context from Microsoft Entra ID, Okta, Ping Identity, AWS IAM through OIDC federation, or another standard OIDC or SAML provider.

Fine-grained least privilege

Control access at the MCP server, tool, action, API endpoint, method, SaaS operation, business resource, target agent, or A2A skill level.

Credential brokering

Support federated token exchange, OAuth token management, and vaulted credentials for SaaS, cloud-native, internal, and legacy systems.

Approvals and usage limits

Require approval for bulk exports, destructive changes, and privileged operations. Apply per-user and per-agent limits to contain excessive data access and runaway activity.

DLP and PII protection

Inspect requests and tool responses for PII, credentials, and sensitive data. Block or redact matched content according to your data-protection policies.

Audit-ready observability

Capture user, agent, target, access and DLP decisions, credential events, approval state, and outcome for security and operational review.

Sensitive data protection

Protect sensitive data in agent workflows

Apply data loss prevention (DLP) to the content agents send and receive. Detect PII, credentials, and sensitive business data, then block or redact matched content according to policy before it reaches a tool or returns to an agent.

Detect PII, secrets, and sensitive data

Identify personally identifiable information (PII), API keys, tokens, and other sensitive data in agent requests and tool results.

Block or redact sensitive content

Block disallowed transfers or mask matched values so approved workflows can continue with sensitive content removed.

Enforce and audit DLP policies

Apply data-protection rules to agent traffic and record detections and enforcement decisions with user, agent, and tool context for review.

Coverage

One gateway across agents, tools, systems, and protocols

Apply one identity, policy, credential, and audit model across agent access paths. Whether an agent invokes an MCP tool, calls an enterprise API, updates a SaaS application, or delegates work to another agent through A2A, the request passes through the same runtime governance layer.

MCP servers and tools

Govern internal and SaaS-hosted MCP servers at the server, tool, action, resource, identity, and environment level.

APIs and internal services

Control agent access to REST APIs, internal HTTP services, partner endpoints, automation services, and custom business systems.

SaaS and enterprise applications

Govern agent actions in Microsoft 365, SharePoint, Salesforce, ServiceNow, Jira, GitHub, ERP, CRM, HCM, data platforms, and other enterprise applications.

Other AI agents through A2A

Decide which agents may communicate, which skills or tasks they may invoke, what authority may be delegated, and whether the handoff requires approval.

Built for teams

Built for security, IAM, platform, and IT teams

Security teams

Centralize access and DLP policies, reduce exposure of PII and credentials, and investigate data-protection events with the user and agent context attached.

IAM and platform teams

Extend existing enterprise identity into agent workflows and apply consistent policy without building custom authorization into every MCP server, agent, and API integration.

IT leadership

Move AI agent workflows into production with clear controls, deployment choices, auditability, and accountability.

Deployment

Deployment options

Deploy the gateway close to the agents and protected systems while maintaining a consistent identity, policy, credential, and audit model across cloud, hybrid, and on-premises environments.

On-premises

Keep traffic and control points inside your datacenter, private network, or segmented environment.

Customer-managed cloud

Run in your own AWS, Azure, GCP, or private cloud environment close to the agents, tools, MCP servers, or internal APIs you need to govern.

Datawiza-hosted

Adopt quickly with a managed deployment option from Datawiza.

Identity and procurement

Use your existing identity platform

Datawiza works with Microsoft Entra ID, Okta, Ping Identity, Auth0, AWS IAM through OIDC federation, and standard OIDC or SAML identity providers. Extend the identity foundation you already operate into AI agent access decisions.

Use your existing identity platform

Use your existing enterprise identity provider instead of adopting a gateway tied to one identity stack.

View integrations

Marketplace and channel paths

Purchase and deploy through supported cloud marketplaces and channel partners when required by your procurement process.

View partners

Flexible operations

Apply one policy model across cloud, hybrid, and on-premises agent workflows without forcing a single deployment pattern.

Use cases

Where enterprises use an Agent Gateway

MCP governance

Combine enterprise identity and tool authorization with DLP for MCP arguments and results, credential protection, usage limits, approvals, and audit.

Explore MCP Gateway

ERP and CRM access

Authorize access to approved invoices, orders, and customer records. Redact sensitive fields according to policy and restrict bulk exports, financial actions, and administrative changes.

See ERP agent access

SharePoint and Microsoft 365

Restrict agent access by site, library, folder, resource, tool, and action instead of giving the agent every permission available to the signed-in user.

Internal APIs

Allow approved endpoints and methods, deny dangerous operations, protect backend credentials, and attribute usage to the responsible user and agent.

Explore access control

DevOps and ITSM

Let agents investigate logs and tickets while masking exposed tokens and credentials according to policy. Require approval for production changes, destructive actions, and privileged operations.

Agent-to-agent delegation

Govern which agents may delegate tasks through A2A, which skills the receiving agent may use, how user authority is propagated, and whether additional delegation is allowed.

MCP gateway

Looking specifically for MCP governance?

Use Datawiza Agent Gateway as an identity-aware MCP Gateway for centralized authentication, tool policy, DLP, PII protection, credential brokering, approvals, rate controls, and audit across MCP servers.

Looking specifically for MCP governance?

If your immediate project is MCP-specific, start with the MCP Gateway use case and then return here for the broader Agent Gateway architecture.

Explore MCP Gateway

Broader access control strategy

For a wider policy program across APIs, SaaS applications, MCP servers, and other agents, use the AI Agent Access Control guide.

Explore AI agent access control

Why Datawiza

Why Datawiza

Identity and data protection together

Verify the user and agent, authorize requested actions, and enforce DLP policies on the data exchanged with tools and enterprise systems.

Identity-platform flexibility

Use your existing enterprise identity provider instead of adopting a gateway tied to one identity stack.

MCP, API, and A2A coverage

Apply a consistent runtime governance model to agent-to-tool, agent-to-system, and agent-to-agent access.

Enterprise and legacy-system support

Broker modern tokens, OAuth credentials, API keys, service credentials, and legacy access patterns across cloud, SaaS, internal, and enterprise applications.

Flexible deployment

Run Datawiza on-premises, in your cloud, or as a Datawiza-hosted service according to network, data-residency, and operational requirements.

Low-friction inline enforcement

Route supported agent connections through the gateway without adding a Datawiza SDK or rebuilding every downstream system.

Next step

Govern AI agent access before it reaches critical systems

Bring an agent workflow and the data it needs to access. See how identity-aware policies, DLP, PII protection, credential brokering, and audit work together across your tools and enterprise systems.

Schedule a DemoExplore Agent Gateway Documentation

Setup guides

Step-by-step Agent Gateway MCP tutorials

Protect remote MCP servers with Datawiza Agent Gateway and Microsoft Entra ID before cloud-based assistants or MCP clients can list or call tools.

ChatGPT + Entra IDClaude + Entra ID

FAQ

Frequently Asked Questions

What is an Agent Gateway?

An Agent Gateway is a runtime enforcement layer between AI agents and the tools, systems, APIs, MCP servers, or other agents they access. It validates identity, enforces access and data-protection policies, brokers credentials, and records agent activity. DLP and PII controls inspect the content exchanged in agent workflows.

Is Datawiza Agent Gateway only for MCP?

No. Datawiza Agent Gateway governs agent access across MCP servers, REST and HTTP APIs, SaaS applications, internal services, enterprise systems, and agent-to-agent connections using Agent2Agent (A2A).

How is an Agent Gateway different from an API Gateway?

An API Gateway primarily manages application and service API traffic. An Agent Gateway is designed for agent-mediated access and can evaluate the user behind the agent, the agent identity, delegation context, requested tool or action, downstream credential requirements, approval policy, and audit context. Enterprises may use both layers together.

How is an Agent Gateway different from an AI or LLM Gateway?

An AI or LLM Gateway primarily manages model access and model traffic. An Agent Gateway governs the runtime actions agents take across tools, enterprise systems, APIs, MCP servers, and other agents. Datawiza Agent Gateway is focused on the second problem.

Can Datawiza govern agents we did not build?

Yes, when the third-party agent or client allows its MCP, API, or A2A endpoint to be configured. The agent connects to the Datawiza gateway endpoint, and Datawiza applies policy before forwarding approved requests to the destination.

Do we need to change our agents or MCP servers?

For agents and clients that support a configurable MCP, API, or A2A endpoint, deployment usually requires pointing the connection to the Datawiza gateway URL. No Datawiza SDK or downstream-system code changes are required. Fully managed integrations that do not expose a configurable endpoint may require a supported custom or bring-your-own connection path.

How does Datawiza protect downstream credentials?

Datawiza supports federated token exchange for cloud-native services, securely managed OAuth tokens for SaaS platforms, and vaulted credentials for systems that use API keys, personal access tokens, service credentials, or legacy secrets. In these flows, the agent does not receive the downstream credential.

Which identity providers are supported?

Datawiza supports Microsoft Entra ID, AWS IAM through OIDC federation, Okta, Ping Identity, and standard OIDC or SAML identity providers. Identity claims can be mapped to user, group, agent, application, tenant, resource, and action policy.

How does Datawiza govern agent-to-agent access?

For A2A workflows, policy can control which agents may communicate, which skills or tasks they may invoke, what user or agent authority is delegated, whether further delegation is permitted, which credentials may be used, and which actions require approval.

How do access controls and DLP work together?

Access policies determine which users and agents may reach a resource and what actions they may perform. Data loss prevention (DLP) inspects the content exchanged during those actions and blocks or redacts PII, secrets, or other sensitive data according to policy. Applying both helps reduce unauthorized access and data leaks through otherwise permitted workflows.

Does DLP inspect both requests and responses?

Yes. Request inspection checks content before it reaches a tool or downstream system. Response inspection checks returned content before it reaches the agent. Policies determine whether matched sensitive data is blocked or redacted, and detection and enforcement decisions are recorded with the user, agent, and tool context.

Related Agent Gateway resources

See the gateway use case, MCP policy pages, and agent-security guides that support production Agent Gateway rollouts.

View all resources

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