Skip to content
Configuration Monitor · Continuous Configuration Governance

Detect Unauthorized Changes. Prevent Control Drift. Protect System Integrity.

Govern system configurations with the same rigor as identity and access

Configuration Monitor delivers continuous visibility into configuration changes across ERP, SaaS, cloud, and custom applications. Detect unauthorized modifications, prevent control drift, and enforce policy alignment in real time — as part of your federated governance strategy.

Configuration settings move away from their approved baseline over time — through emergency fixes, project work and routine administration — and each individual change looks reasonable while the accumulated drift is what breaks a control. · A timeline of configuration settings drifting away from an approved baseline

Illustrative — example configuration drift, not customer data

Why configuration governance matters

Control breakdowns often start with small changes.

A disabled approval workflow. A modified posting rule. An altered segregation-of-duties control. A changed security parameter.

Even minor configuration changes can introduce significant operational, financial, or compliance risk.

Periodic reviews can’t keep pace with continuous system updates.

Configuration Monitor provides

Real-time detection of configuration changes Policy-based validation of system settings AI-assisted anomaly detection for unusual change patterns Continuous assurance of control integrity

Key outcomes

✓Detect unauthorized or high-risk configuration changes instantly
✓Prevent control drift across systems
✓Reduce audit findings related to configuration integrity
✓Strengthen compliance and operational resilience
✓Maintain continuous governance oversight
Core capabilities

Five capabilities, one configuration layer.

Real-Time Configuration Change Detection

Track configuration changes across ERP, SaaS, cloud infrastructure, and custom applications as they occur.

Policy-Based Validation

Automatically compare configuration settings against approved governance policies and control baselines.

AI-Driven Anomaly Detection

Identify unusual change patterns, high-risk modifications, or suspicious timing that may indicate control bypass or fraud.

Cross-System Configuration Visibility

Aggregate configuration data from multiple systems into a centralized federated governance dashboard.

Automated Alerts & Workflows

Trigger policy-based alerts and remediation workflows when unauthorized or risky changes are detected.

How it works

Governance at the configuration layer.

Four stages that keep every setting measured against an approved baseline — continuously, not quarterly.

01Continuous Configuration MonitoringCapture and analyze configuration updates in real time across connected systems.
02Baseline Comparison & Drift DetectionCompare system configurations against approved baselines to identify deviations immediately.
03Risk Correlation with Identity & TransactionsCorrelate configuration changes with identity activity, privileged access sessions, and high-risk transactions to detect coordinated risk patterns.
04Audit-Ready EvidenceMaintain a complete, time-stamped record of configuration changes, approvals, and remediation actions for defensible audit reporting.
Configuration comparison

Approved baseline on the left. Live configuration on the right.

Settings compared value by value, so every deviation is visible with its old value, its new value, and when it changed.

Two environments, or the same environment at two points in time, are compared setting by setting, so a change is shown as what it was before, what it is now, who made it and whether it was authorised. · A setting-by-setting comparison of two configurations, showing before, after and who changed it

Illustrative — example configuration comparison, not customer data

Customer success

Trusted by enterprises to protect control integrity.

“Configuration Monitor helped us detect unauthorized system changes before they impacted our controls. We now have continuous visibility into configuration risk.”
Frequently asked questions

What control owners ask first.

ERP, SaaS, cloud infrastructure, and custom applications. Configuration data is aggregated from all of them into a centralized federated governance dashboard rather than reviewed system by system.

The gradual divergence of live system settings from the approved baseline — a disabled approval workflow, a widened tolerance, an altered SoD control. Each change looks minor on its own; together they erode the control environment. Baseline comparison identifies deviations immediately.

Rules catch known-bad settings. Anomaly detection catches unusual change patterns, high-risk modifications, and suspicious timing that may indicate control bypass or fraud — including sequences no single rule would flag.

Each system is compared against its own approved baseline of governance policies and control settings. Comparison is value by value, so a deviation is reported with the approved value, the live value, and when it changed — not just a flag that something moved.

A complete, time-stamped record of configuration changes, approvals, and remediation actions — captured as it happens, so audit reporting is defensible without a manual evidence exercise.

Are you ready to prevent configuration drift across your enterprise?

Detect changes. Enforce baselines. Protect system integrity in real time.

Strengthen federated governance with continuous configuration monitoring.