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Drift Detection

Drift detection is the identification of systems, workloads, or configurations that have diverged from an approved or expected state. It matters because unauthorized or accidental change quietly erodes trust in both infrastructure and security controls.

What is Drift Detection?

Drift may appear in manifests, runtime behavior, packages, permissions, or configuration values. Detecting it helps teams spot manual changes, compromise, and policy violations before they become normalized or forgotten.

What Drift Detection Commonly Supports

Common uses include configuration assurance, incident detection, immutable infrastructure practice, and compliance monitoring.

Drift Detection vs. Assumed Configuration Consistency

Drift detection measures whether real state still matches intended state. Assumed consistency trusts that nothing changed without verifying it.

Frequently Asked Questions

Why is drift detection important?

Because environments change constantly, and unobserved drift often hides both risk and operational confusion.

Can drift be benign?

Yes, but even benign drift deserves review because it still weakens confidence in what the system should be.

Related Cybersecurity Terms

George Mutune

I am a cyber security professional with a passion for delivering proactive strategies for day to day operational challenges. I am excited to be working with leading cyber security teams and professionals on projects that involve machine learning & AI solutions to solve the cyberspace menace and cut through inefficiency that plague today's business environments.