Use cases

Endpoint and server compliance

Endpoint and server compliance is Zennite AI’s initial product wedge.

Why start here

Endpoints and servers have concrete baselines, clear audit requirements and direct security relevance. They also change frequently through patches, troubleshooting, user exceptions, administrative actions and configuration updates.

Current pain

Security and infrastructure teams often need to verify thousands of assets against detailed hardening standards. Even where endpoint management tools exist, the policy-to-evidence chain can remain manual.

Zennite AI workflow

  1. Ingest the applicable baseline.
  2. Identify the control intent behind each requirement.
  3. Map each requirement to Windows or Linux implementation controls.
  4. Validate the actual state of the asset population.
  5. Identify drift, exceptions and unknowns.
  6. Generate audit-ready evidence packs.
  7. Route remediation through approval-gated workflows.
Concept visualisation of the Zennite AI control plane.

Evidence example

An illustrative evidence view for a Windows Server baseline check:

Illustrative endpoint baseline evidence
ControlRequirementLive stateStatus
Password policyMinimum length 14 charactersEnforced on all sampled hosts Compliant
Legacy protocolsSMBv1 disabledDisabled on all sampled hosts Compliant
Local admin accountsRenamed and monitoredApproved exception for 2 hosts, expires in 14 days Exception
Screen lock15-minute idle lock enforcedNot enforced on 1 host group Failed

Pilot scope

A practical pilot can begin with:

  • One operating system family.
  • One bounded asset population.
  • One baseline or control family.
  • One evidence format agreed with security, infrastructure and audit stakeholders.

Expected value

  • Reduced manual compliance effort.
  • Faster baseline operationalisation.
  • Better evidence quality.
  • More timely drift detection.
  • Clearer remediation accountability.