AI agent governance

Control What AI Agents Can Do - Before Risky Actions Execute

Datawiza AI Agent Security enforces identity-aware, policy-based controls inline across agent tool actions. Block risky behavior, constrain high-risk parameters, and capture audit-ready evidence.

Overview

Enterprise-ready, simple to adopt

Works across APIs, MCP tools, SaaS platforms, and internal services.

Inline controls: enforce policies at the point of tool execution with an inline gateway.
Agent identity: bring your own identity, such as Entra Agent ID or Okta agent identities, for controlled rollouts.
Least privilege: define what agents can do at the tool and action level, then apply it consistently.
Human oversight when needed: add approval workflows for sensitive actions.
Visibility and evidence: capture audit trails for agent tool usage to support reviews and investigations.
Flexible deployment: cloud, on-prem, and hybrid deployment patterns.

Control plane and data plane

What AI Agent Security provides

Agent identity and trust

Make agents first-class identities. Bring your own agent identity, authenticate agents, associate them with owners and environments, and prefer short-lived scoped access.

Policy and governance

Define guardrails that scale beyond one agent or tool, including which agents can use which actions, optional approvals, and change visibility.

Inline enforcement

Apply allow/deny decisions, request constraints, response controls, rate limits, and consistent auditing at runtime before actions reach production systems.

Audit and evidence

Integrate with your SIEM, centralize logs with identity, decision, and outcome, and export evidence for incident response and compliance.

Deployment

Deployment options

Inline Gateway

A single enforcement point between agents and tools or systems for consistent policy application, approvals, and auditing.

Cloud or self-hosted

Deploy managed or in your environment to meet data residency, network, and compliance needs.

High availability

Deploy Datawiza in a highly available configuration to meet uptime and resilience requirements.

Controls

Key capabilities

Identity integration

Align agent authentication with your identity system, including Microsoft Entra Agent ID where applicable.

Granular tool access guardrails

Use tool allowlists by agent, team, or environment and action-level controls across different integration patterns.

Approvals for sensitive actions

Add human-in-the-loop workflows for high-risk operations with configurable routing and time limits.

Data protection guardrails

Reduce exposure of secrets or PII through tool actions and results where appropriate.

Audit readiness

Produce action logs with identity, context, decision, and export options for security reviews and compliance workflows.

Workflow

How it works

1Authenticate the agentAgents authenticate using your identity approach and can optionally run on behalf of a user or session context.
2Route tool execution through DatawizaDeploy Datawiza as an inline gateway between agents and tools or systems to intercept tool actions.
3Evaluate policy in real timeEach action is evaluated against policy and context. Datawiza can allow, deny, constrain, or route for approval based on your rules.
4Return safe results and record evidenceResults can be controlled based on policy, and every decision is logged for audit and investigation.