Endpoint & Workload Protection · EP-Q11

Question: Are virtualized and cloud workloads secured with baseline images, segmentation, and isolation controls?

Why This Matters

Workloads deployed in cloud or virtualization platforms expand the attack surface. Segmentation and hardened templates prevent lateral movement and privilege abuse.

Maturity

0 — Unaware
Ad-hoc VM creation; no isolation or image hardening.
1 — Ad Hoc
Manual setup of instances; limited network segregation.
2 — Defined
Standard VM or AMI images documented and reused.
3 — Managed
Segmentation by environment (prod/dev/test); templates hardened.
4 — Integrated
Automated provisioning through IaC with security guardrails.
5 — Optimized
Continuous posture management across hybrid environments.

How to Level Up

From → To Actions
0 → 1 Define naming and tagging standards for VMs and workloads.
1 → 2 Create base hardened image per OS / platform.
2 → 3 Enforce network segmentation and security groups.
3 → 4 Adopt IaC (Terraform, Ansible) with security baselines.
4 → 5 Enable CSPM / CWPP for continuous compliance.

Enablers

Evidence

KPIs

Low-Cost / Open-Source Options (MSME)

Purpose Tool Notes
IaC security Checkov / Tfsec Static analysis of Terraform files.
Baseline images Packer / Ansible Automated image builds.
CSPM light ScoutSuite / CloudQuery Free cloud posture scanner.

Common Pitfalls

Compliance Mapping

Standard Clauses / Notes
ISO/IEC 27001:2022 A.8.20 (Virtualization Security)
CERT-In 2022 Section 14 (Cloud and Virtualization Security)
DPDP Act 2023 Sec 9 (Security Safeguards in Processing)
NIST CSF 2.0 PR.DS-07 / PR.PT-06
NIRMATA Mapping EP-Q11 maps to cloud hardening evidence.