Microsoft FoundryAI Observability
See how your AI behaves in production — quality, safety, cost, and drift.
Microsoft Foundry AI Observability provides continuous visibility into AI applications and agents in production — tracing requests, monitoring quality and safety, tracking cost and latency, and detecting drift and anomalies. Faltrox operates it as part of managed AI operations, feeding AI security signals into the SOC.
Overview
What AI Observability is
AI in production is not static — output quality drifts, safety can degrade, cost can spiral, and agents can behave unexpectedly. Without observability, none of that is visible until something goes wrong. Microsoft Foundry AI Observability provides the continuous visibility to run AI reliably and safely in production.
It traces AI requests end to end, monitors output quality and safety, tracks cost and latency, and detects drift and anomalies in behaviour — so AI applications and agents are observable like any production system. Faltrox operates this as part of managed AI operations: watching quality and safety, catching drift, and feeding AI security signals (anomalous agent behaviour, safety failures, misuse) into the SOC alongside the rest of your telemetry.
Coverage
What it protects
The platforms, threats, and surfaces this product is built to defend.
Request Tracing
Traces AI requests end to end through applications and agents.
Quality & Safety
Monitors output quality and safety continuously in production.
Cost & Latency
Tracks cost and latency of AI workloads.
Drift & Anomalies
Detects drift and anomalies in AI behaviour.
Production Visibility
Makes AI observable like any production system.
SOC Signals
Faltrox feeds AI security signals into the SOC.
How it works
The mechanism
How the product moves from signal to protected state, step by step.
- 01
Trace
AI requests are traced end to end through applications and agents.
- 02
Monitor
Output quality, safety, cost, and latency are monitored continuously.
- 03
Detect
Drift and anomalies in AI behaviour are detected as they emerge.
- 04
Feed the SOC
Faltrox feeds AI security signals into the SOC alongside other telemetry.
- 05
Operate
Faltrox operates it as part of managed AI operations.
Capabilities
Key capabilities
Request Tracing
Traces AI requests end to end through applications and agents.
Quality Monitoring
Monitors output quality continuously in production.
Safety Monitoring
Monitors safety and catches safety degradation over time.
Cost & Latency Tracking
Tracks cost and latency of AI workloads to keep spend visible.
Drift Detection
Detects drift and anomalies in AI behaviour.
Production Visibility
Makes AI observable like any production system.
SOC Integration
Faltrox feeds AI security signals into the SOC.
Managed AI Operations
Faltrox operates it as part of managed AI operations.
Works with
Part of the platform
Microsoft products this pairs with, and the Faltrox services that operate it.
Delivery
You buy the outcome, not the console
Managed by Faltrox
Faltrox licenses, deploys, and tunes Microsoft AI Observability for your environment, then runs it as part of a managed service, so you get the protection without staffing another security console.
FAQ
Common questions
01What is AI Observability?
Continuous visibility into AI applications and agents in production — tracing requests end to end, monitoring output quality and safety, tracking cost and latency, and detecting drift and anomalies — so AI is observable and reliable like any production system.
02Why does AI need observability?
AI in production drifts — output quality can degrade, safety can slip, cost can spiral, and agents can behave unexpectedly. Without observability none of that is visible until something goes wrong. Observability catches it early, and Faltrox acts on it.
03How does it connect to security?
Anomalous agent behaviour, safety failures, and misuse are security signals. Faltrox feeds AI observability signals into the SOC alongside your other telemetry, so AI-specific threats are monitored and responded to like any other — not left in a silo.
04What does it track?
End-to-end request traces, output quality and safety, cost and latency, and drift and anomalies in behaviour — the operational and safety dimensions of running AI in production. Faltrox uses that to keep AI reliable, safe, and cost-visible.
05How does Faltrox operate it?
We operate AI Observability as part of managed AI operations — watching quality and safety, catching drift, keeping cost visible, and feeding AI security signals into the SOC — so your AI estate is monitored and defended continuously.
Start an engagement
Secure what’s next.
Speak with the engineering team to define scope, walk through the methodology, and decide whether Faltrox is the right team to test and run your environment.
Contact us