TL;DR: This on-demand webinar explains how critical configuration changes can provide early warning of ransomware and other malware, and how Netwrix Change Tracker helps teams establish baselines, monitor infrastructure, and reduce drift while accounting for approved change activity. The security issue is not just visibility, but whether auditing and configuration control can still surface malicious change before damage spreads.
NHIMG editorial — here’s why we think this discussion matters
By the numbers:
- Systems with least-privileged AI access had a 17% incident rate vs 76% for over-privileged systems.
Questions worth separating out
Q: How should security teams detect malicious configuration drift without drowning in alerts?
A: They should anchor detection to hardened baselines and correlate every observed change with approved maintenance, patching, or deployment records.
Q: Why does configuration drift increase ransomware risk?
A: Configuration drift can hide the exact modifications attackers use to disable defences, create persistence, or prepare lateral movement.
Practitioner guidance
- Define hardened baselines for critical assets Create explicit secure-state profiles for servers, desktops, and network infrastructure, then align them to the systems that would have the greatest impact if altered.
- Separate approved change from suspicious drift Feed maintenance windows, patch records, and change manifests into monitoring so analysts can suppress expected noise while preserving high-confidence alerts.
- Limit rights to modify security tooling Review which identities can change logging, endpoint controls, configuration management, and monitoring settings, then remove broad modification rights where they are not essential.
What to expect at the briefing
Netwrix's full webinar covers the operational detail this post intentionally leaves for the source:
- Practical demonstrations of how Change Tracker spots suspicious infrastructure and configuration changes in real environments.
- Guidance on establishing hardened baselines using industry standards such as CIS and DISA STIG.
- Examples of custom baseline tuning so teams can account for approved patching and change manifests.
- Noise reduction techniques for monitoring critical networking infrastructure, servers, and desktops without losing signal.
👉 Watch Netwrix's on-demand webinar on spotting critical configuration changes →
Configuration drift and malware detection: are your controls keeping up?
Explore further
Configuration drift is an identity and governance problem, not just an infrastructure problem. The article frames suspicious change as a visibility issue, but the deeper issue is control over who and what can alter critical systems without immediate challenge. In practice, privileged access, service accounts, and administrative workflows all determine whether drift is detected in time or absorbed into the environment. Practitioners should treat change visibility as a governance control, not an afterthought.
A few things that frame the scale:
- Systems with least-privileged AI access had a 17% incident rate vs 76% for over-privileged systems, according to The 2026 Infrastructure Identity Survey.
- Only 44% of organisations have implemented any policies to manage their AI agents, despite 92% agreeing that governing AI agents is critical to enterprise security.
A question worth separating out:
Q: Who should be accountable for suspicious infrastructure changes?
A: Accountability should sit with the team that owns the asset and the identities that can modify it, including infrastructure, security operations, and identity governance. If a service account or privileged admin can change critical controls, that entitlement must be reviewable and traceable. Ownership should be explicit before a failure forces the question.
👉 Read our full editorial: Spotting critical configuration drift to reduce malware risk