The Challenge

AI usage often expands faster than operating standards.

Regulated teams need a practical way to supervise model activity without slowing approved deployment cycles.

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Fragmented Traffic

AI requests spread across assistants, internal tools and external vendors with zero centralized visibility. This leads to ASI02: Tool Misuse risks where agents gain unmonitored access to sensitive APIs.

Explore ASI02 Risks
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Inconsistent Controls

Different teams apply manual rules for data handling, model access and exception management, creating a fragmented security posture that is impossible to audit at scale.

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Weak Evidence

Review teams struggle to reconstruct decisions when logs, policies and workflows are disconnected, creating significant friction during regulatory inquiries and incident post-mortems.

Capability Design

Key controls follow the operating path of each AI request.

01

Observe activity

Capture requests across applications, assistants and automation workflows through a governed entry point.

02

Classify risk

Assess user context, workload type and data sensitivity before a request is routed to a model.

03

Enforce policy

Allow, hold, redact or block requests based on customer controls and approved model pathways.

04

Record evidence

Return decisions and output telemetry to dashboards, exports and review workflows.

Policy Enforcement ViewPolicy Enforcement View
Evidence And Metrics
Visibility scopeApps / Agents / APIs
Policy outcomesAllow / Hold / Block
Routing postureProvider neutral
OutputsDashboards / Exports
Operational modelShared control
AI Control DashboardAI Control Dashboard View
Platform

Operational controls for AI driven workflows

Monitor AI traffic, enforce policy and create audit ready telemetry across enterprise assistants, automation workflows and model APIs. Aligned to the OWASP Top 10 for Agentic Applications 2026.

Book Technical ReviewView Architecture
Outcome 01 Critical

Unified Visibility

Track sanctioned and unsanctioned AI traffic across applications, autonomous agents and vendor APIs. AIxSafe provides the granular telemetry required to expose "shadow AI" and model drift before they impact operations.

Read AI Telemetry Guide
Outcome 02

Consistent Policy

Apply one operating model for data handling, routing and exception management across all model providers.

Review Proxy Setup
Outcome 03

Faster Review

Give architecture and security teams structured information instead of fragmented logs for faster sign-off.

Review Architecture
Outcome 04

Evidence Trail

Support audits, investigations and governance reporting with decision-level telemetry and history.

Governance Checklist