Datawiza

AI agent governance

AI Agent Security for Enterprise Tool Access

Datawiza Agent Gateway enforces identity-aware, least-privilege controls across agent access to MCP servers, APIs, SaaS apps, and internal tools before risky actions execute.

AI Agent Security
Clarity
Kia
Emirates Flight Catering
Roy Jorgensen
New American Funding
Lifeway
Omnitier
California Association of Orthodontists
Scot Forge
Claremont Graduate University

Security gap

AI agents need security controls before they reach tools

AI agents can query data, update tickets, call APIs, run MCP tools, change repositories, and trigger business workflows. That creates a new access layer that needs identity, least privilege, credential protection, approvals, and audit before actions reach sensitive systems.

Over-permissioned access

Agents often inherit broad access through API keys, OAuth tokens, service accounts, or user sessions that were not designed for autonomous tool use.

Fragmented enforcement

One agent workflow can cross SaaS apps, MCP servers, internal APIs, and databases, but each system may enforce policy differently.

Weak audit trail

Security teams need to know which user or agent called which tool, what policy matched, and whether the action was allowed, denied, or approved.

Agent Gateway

What Datawiza AI Agent Security provides

Datawiza Agent Gateway sits between AI agents and the tools they access. It validates identity, evaluates policy, protects credentials, and records each decision before agent actions reach APIs, MCP servers, SaaS apps, or internal systems.

Identity-aware agent access

Tie agent activity to real users, groups, owners, sessions, environments, and enterprise identity context.

Least-privilege tool policy

Control which agents can use which tools and actions across MCP servers, APIs, SaaS apps, and internal systems.

Inline enforcement

Allow, deny, constrain, or route agent actions for approval before they touch production data or workflows.

Credential protection

Keep downstream tokens, API keys, and secrets out of agent runtimes with gateway-based credential protection.

Approvals for risky actions

Require review for bulk exports, destructive updates, privileged changes, or other high-risk actions.

Audit and evidence

Send searchable records with identity, tool, action, policy decision, and outcome to your security and compliance workflows.

Coverage

Secure agent access across MCP, APIs, SaaS, and internal tools

Use one gateway pattern to secure agent access across the systems enterprises actually care about: MCP servers, APIs, SaaS apps, data platforms, and internal tools.

MCP servers

Put policy, credential protection, and audit in front of internal and SaaS MCP servers used by AI agents.

APIs and internal tools

Apply identity-aware policies to REST APIs, internal services, automation endpoints, and custom business systems.

SaaS and data platforms

Govern agent actions in Salesforce, ServiceNow, Jira, GitHub, Microsoft 365, Databricks, Snowflake, and similar platforms.

Flexible deployment

Deploy in your cloud, on-premises, hybrid environments, or with a Datawiza-hosted service.

Controls

Key controls for AI agent security

The goal is not to block every agent. The goal is to make agent access explicit, least-privilege, observable, and reviewable when the action is sensitive.

Enterprise IdP integration

Validate enterprise identity claims from Microsoft Entra ID, Okta, Ping, AWS IAM, or another OAuth/OIDC provider.

Group-based tool access

Allow tools by group, agent, environment, workflow, or risk level instead of relying on broad static credentials.

Approvals for sensitive actions

Require human review for production changes, destructive writes, privileged actions, or sensitive exports.

Data protection guardrails

Reduce exposure of tokens, secrets, and sensitive data in agent runtimes and tool responses where appropriate.

Audit readiness

Create decision logs with user, agent, tool, action, policy, and outcome for security reviews and investigations.

Workflow

How it works

  1. 1Route agent actions through DatawizaPoint agent traffic, tool calls, API access, or MCP requests through Datawiza instead of connecting directly to downstream systems.
  2. 2Validate identity and contextValidate enterprise identity context and evaluate the user, group, agent, tool, action, environment, and risk level.
  3. 3Enforce policy before executionAllow, deny, constrain, broker credentials, or route for approval before agent actions reach sensitive tools.
  4. 4Log decisions and outcomesRecord each request, policy decision, credential event, approval state, and outcome for audit and investigation.
Datawiza AI Agent Security - how it works

Use cases

Where enterprises need AI agent security

MCP tool access

Control which agents and users can call MCP tools that expose enterprise data, APIs, and workflows.

ITSM automation

Allow safe ServiceNow and Jira updates while adding approvals for sensitive changes and better traceability.

DevOps automation

Add guardrails for GitHub, CI/CD, repo changes, and production-impacting actions.

SaaS and data workflows

Apply least-privilege guardrails and auditing to agent-initiated Salesforce, Microsoft 365, SAP, Oracle, or data-platform workflows.

Internal APIs and custom systems

Enforce consistent policy and auditing across internal APIs, proprietary tools, and custom automation endpoints.

Comparison

Direct agent access vs. Datawiza Agent Gateway

Area
Direct MCP connectivity
With Datawiza MCP Gateway
Access path
Agents connect directly to tools and APIs
Agent traffic passes through one enforcement layer
Authorization
Broad tokens, shared credentials, or tool-specific permissions
Least-privilege policy by user, group, agent, tool, action, and environment
Credentials
Secrets and downstream tokens can spread across agent runtimes
Credentials are brokered or protected by the gateway
Oversight
Risky writes, exports, and admin actions may run automatically
Sensitive actions can be denied, constrained, or routed for approval
Audit
Logs are fragmented across agents, apps, APIs, and MCP servers
Every decision records identity, policy, action, and outcome

Why Datawiza

Why Datawiza

Inline enforcement

Enforce controls where tool execution happens, before risky actions reach production systems.

Identity-aware governance

Tie agent activity back to real identities, owners, sessions, policies, and environments.

Audit-ready evidence

Capture decision records that security, compliance, and incident response teams can actually use.

FAQ

Frequently Asked Questions

What is AI agent security?

AI agent security is the set of controls that governs what agents can access and do across tools, APIs, MCP servers, SaaS apps, and internal systems. It includes identity, authorization, credential protection, approvals, rate limits, and audit logs.

How is AI agent security different from API security?

Traditional app and API security often assumes a human or service is making predictable requests. AI agents can chain tool calls, act across systems, and trigger workflows, so security needs to evaluate the user, group, agent, tool, action, environment, and risk before execution.

Can Datawiza work with Entra ID or Okta?

Yes. Datawiza can validate identity context from Microsoft Entra ID, Okta, Ping, AWS IAM, or another OAuth/OIDC provider, then apply policy before agent actions reach sensitive tools.

Can this secure MCP servers and APIs?

Yes. Datawiza Agent Gateway can enforce controls for MCP servers, REST APIs, SaaS applications, internal services, and custom enterprise tools.

Do we need to rewrite our agents or tools?

In common deployments, you route agent traffic or tool calls through Datawiza as an inline gateway. That lets you add policy, credential protection, and audit without rebuilding every downstream tool.

What can the gateway enforce?

Policies can allow, deny, constrain, rate-limit, broker credentials, or route actions for approval based on identity, group, agent, environment, tool, action, and risk level.

You might also like

From industry events to new product releases, read it here first.

View all resources

Datawiza is Easy to Get Started

Sign up to secure your AI agents and critical enterprise apps

Try Datawiza