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October 21, 202612 min readBySiegePal LLC

Cloud Security Assessment Steps: A Practical 10-Step Guide

Discover 10 practical cloud security assessment steps to identify vulnerabilities, evaluate cloud configurations, analyze identity and access risks, validate logging and detection, and prioritize remediation. This guide helps CISOs, security teams, and cloud engineers build a stronger security posture across AWS, Azure, and Google Cloud.

Executive Summary

A cloud security assessment tests whether your environment is configured, monitored, and governed the way your team believes. It covers identity, exposure, encryption, logging, and delivery pipelines.

This guide sets out the cloud security assessment steps in order. It is written for CISOs, platform engineers, and security leads who must scope, run, or judge one. Each of the ten steps names the evidence it should produce.

Current threat data supports this depth. Google's H1 2026 Threat Horizons report covers the second half of 2025. It shows exploited third-party software overtaking weak credentials as the top entry vector, at 44.5% versus 27.2%. Google notes the data is a subset of observed activity. Separately, Mandiant tied identity issues to initial access in 83% of incidents in major cloud and SaaS-hosted environments. In our analysis, a checklist of settings captures neither pattern well.

What a Cloud Security Assessment Covers

NIST SP 800-115, published in 2008, offers a useful structure for assessment work. It divides the work into planning, execution, and post-execution. It also separates review, target identification, and validation techniques. In our analysis, cloud changes the targets but not that logic.

NIST SP 800-53A defines three assessment methods: examine, interview, and test. A credible cloud assessment uses all three. Interviews explain intent. Examining configuration shows state. Testing shows how controls behave under defined conditions.

Neighboring activities differ, in our view. A posture scan produces findings without judgment. A penetration test proves selected paths but samples narrowly. A compliance audit measures against a framework rather than your threat model.

The Ten Cloud Security Assessment Steps in Order

We map the steps to NIST's three phases. Steps one and two are planning. Steps three through eight are execution. Steps nine and ten are post-execution.

  1. 1Define scope, shared responsibility, and rules of engagement.
  2. 2Build an inventory from the control plane.
  3. 3Analyze identities and effective permissions.
  4. 4Map network exposure and data paths.
  5. 5Verify encryption and key control.
  6. 6Test logging and detection.
  7. 7Review pipelines and infrastructure as code.
  8. 8Benchmark configuration and validate attack paths.
  9. 9Prioritize findings and plan remediation.
  10. 10Report, retest, and set a cadence.

Step 1: Define Scope, Shared Responsibility, and Rules of Engagement

NIST SP 800-115 covers assessment planning, including policy, technique selection, and logistics. Apply that to the cloud by listing every account, subscription, project, and region in scope. Include SaaS tenants that hold business-critical or regulated data.

Next, draw the shared responsibility line for each service. NSA's top ten list begins with upholding the shared responsibility model. Gaps appear when a customer assumes the provider handles a task that is theirs. Responsibilities vary by service model and by provider.

Then write rules of engagement. Specify read-only roles, test windows, permitted validation, and who approves exceptions.

Step 2: Build an Inventory From the Control Plane

Start from provider APIs, not from a spreadsheet. AWS Config records resource configuration, relationships, and history, and it can aggregate across accounts and Regions. Azure Resource Graph queries resources across subscriptions with Kusto Query Language. Google Cloud Asset Inventory exports asset metadata and IAM policies.

Each service has limits. AWS Config records the resource types you select, so gaps are possible. Cloud Asset Inventory keeps change history for up to 35 days. Azure Resource Graph and Cloud Asset Inventory are also eventually consistent, so very recent changes can lag. Check those limits against your evidence needs.

Then compare discovered assets with the team's own inventory. We treat every difference as a finding. Each one points to an ownership or process gap.

Step 3: Analyze Identities and Effective Permissions

Identity deserves the largest share of assessment time. Two angles matter: who holds credentials, and what those credentials can do in practice.

Human and Workload Identities

Mandiant's H2 2025 engagements tied identity issues to initial access in 83% of incidents in major cloud and SaaS environments. Datadog's 2025 report, based on its customers' data, shows how long-lived credentials persist. Among AWS IAM users with active access keys, 59% held a key older than one year. Among Google Cloud service accounts with keys, 55% did. Datadog also reports that 39% of organizations still use IAM users in some capacity.

List every human federation path, every long-lived key, and every workload identity. NSA recommends phishing-resistant MFA, temporary credentials, and least privilege. Flag any key without a documented owner and rotation date.

Effective Permissions and Trust Relationships

Policy text alone does not show who can do what. Effective access also depends on resource policies, trust relationships, and organization-level guardrails. AWS IAM Access Analyzer reports external, internal, and unused access. It judges findings against a zone of trust, set at the account or organization level. Its external-access analysis runs per Region, so enable it wherever resources exist.

The real output, in our view, is a map of escalation paths. Chain the findings together. A role that can edit its own policy outranks several isolated, narrow permissions.

Step 4: Map Network Exposure and Data Paths

Exposure is what an outside party can reach. Review security groups, routes, firewall rules, load balancers, and private endpoints together. Rule text can look strict while a route or load balancer still exposes the service.

Datadog's 2025 data shows the scale. About 1% of S3 buckets were effectively public. Managed Kubernetes API servers were internet-reachable on 39% of EKS, 34% of AKS, and 54% of GKE clusters. Only 49% of EC2 instances enforced IMDSv2.

Those figures describe Datadog's customers, not every environment. Use them to prompt questions, not as targets. Then trace sensitive data through storage, replication, backup, and egress.

Step 5: Verify Encryption and Key Control

Enabled encryption is a configuration fact. Key control is the security outcome. For each in-scope data store, confirm encryption at rest. Then identify who can administer the key and who can use it.

NSA's guidance highlights the different risks and roles of provider-managed and customer-managed keys. Record which model each store uses and why. Check transport encryption on internal paths, not only at the public edge.

Where a contract requires customer-controlled keys, verify that control in the live key policy. A contract clause does not enforce itself.

Step 6: Test Logging and Detection

Logging defaults differ across providers, so teams must configure them deliberately. This step has two parts: confirm what is recorded, then prove that someone would notice.

What Each Provider Logs by Default

AWS CloudTrail Event history holds 90 days of management events per Region. It excludes data events and does not aggregate across an organization. Longer, organization-wide records need a trail or event data store. The Azure Activity log keeps 90 days of control-plane events. Data-plane resource logs need diagnostic settings. In Google Cloud, Admin Activity and System Event logs are always written. Data Access audit logs are off by default, except for BigQuery.

Prove Detection With a Controlled Test

Visibility is not detection. A log that triggers nothing leaves an attacker unobserved in practice. Run a pre-approved action, such as creating and deleting a tagged test role. Trace the event to your SIEM, confirm an alert fires, and record the elapsed time. Repeat for each provider and each critical log source.

Step 7: Review Pipelines and Infrastructure as Code

NSA lists CI/CD defense and infrastructure as code among its top ten cloud mitigations. Pipelines hold deployment credentials, so they sit on the path to production.

Review who can change pipeline definitions and which identities the runners assume. Google's H1 2026 report describes a 2025 breach that began with a stolen developer token. An overly permissive OIDC-linked role then gave attackers a path to AWS administrator access in under 72 hours. Check how secrets are stored and whether pipeline logs are retained.

Then compare infrastructure as code templates with live resources. Drift between the two shows where changes bypass review. Finally, confirm that scanning runs as a gate rather than an advisory. In our view, an ignored scan result is not a control.

Step 8: Benchmark Configuration and Validate Attack Paths

Benchmarks give repeatable configuration checks. Validation shows which findings matter together.

Benchmark Against Pinned Versions

CIS publishes configuration benchmarks for cloud platforms and Kubernetes services. Versions change. CIS's June 2026 update released the Google Cloud Platform Foundations Benchmark v5.0.0. It also released v2.0.0 benchmarks for EKS and AKS. Record the exact version in your scope so results stay comparable. Microsoft's cloud security benchmark v2 is still in preview. It maps controls to CIS Controls v8.1 and NIST SP 800-53 Rev. 5.

Validate What Scanners Cannot Rank

NIST SP 800-115 notes that vulnerability scanners mainly find surface vulnerabilities. Validation techniques confirm that a weakness is real. Scanners also rate findings one at a time. In our view, a moderate role finding plus an exposed workload can form a severe path. Validate such chains within your rules of engagement.

Step 9: Prioritize Findings and Plan Remediation

Rate each finding on exposure, exploitability, data sensitivity, and blast radius. Scanner severity ratings do not know your environment, so apply your own context.

Assign every finding an owner and a due date. Where infrastructure is managed as code, fix it in code. A console change can revert at the next deployment.

Require evidence of closure. For IAM Access Analyzer findings, AWS provides a rescan option and a StartResourceScan API call. Other findings need an equivalent retest.

Step 10: Report, Retest, and Set a Cadence

NIST's post-execution phase covers root-cause analysis, mitigation recommendations, and a final report. Report root causes, not only findings. Several findings can share one missing guardrail.

Retest after remediation. Then set a cadence. Repeat the full assessment after major architecture changes, new accounts, new providers, or significant incidents. The sources reviewed here set no universal interval.

Between assessments, continuous cloud posture management can watch for drift against the baseline you established.

Preparing Your Team Before the Assessment Starts

Preparation shortens discovery. Grant read-only roles at the organization level, limited to the in-scope accounts. Prefer short-lived credentials, and log every session.

Supply architecture diagrams, a list of known accounts, and an owner for each. Name an engineering contact who can answer questions within a day. Pre-approve the test actions for the logging step, and tell your SOC when they will run.

Scope also drives effort. SiegePal's guide to what drives cybersecurity risk assessment cost explains how.

Where Compliance Frameworks Fit

A cloud security assessment is not a compliance audit, and it certifies nothing. Frameworks still shape the work. NIST SP 800-53A provides assessment procedures aligned to SP 800-53 Rev. 5 controls.

Microsoft's benchmark maps controls to several frameworks, including NIST SP 800-53 Rev. 5 and PCI DSS v4. Microsoft says these mappings do not necessarily translate to full compliance. In our view, a mapped finding is input for an auditor, who decides whether a requirement is met. This article does not claim that any framework mandates these ten steps.

Key Takeaways

  • A cloud security assessment is an engineering evaluation, not a scanner export or a compliance audit.
  • Build the inventory from control-plane APIs, and treat every mismatch with your records as a finding.
  • Start with identity. Mandiant tied identity issues to initial access in 83% of incidents in major cloud and SaaS-hosted environments.
  • Verify detection with a controlled test. Default logging differs across AWS, Azure, and Google Cloud.
  • Pin benchmark versions, and validate chained findings that scanners rate in isolation.
  • Fix in code where possible, retest, and repeat after major changes.

How SiegePal Helps

SiegePal's cloud security engineering services cover several of these steps across AWS, Azure, and Google Cloud. The work pulls IAM policies directly to find privilege escalation paths. It reviews network rules against your traffic requirements and verifies encryption at rest and key rotation. It also assesses CI/CD stages and identifies where scanning gates belong.

SiegePal's service page says an architecture assessment and design engagement typically runs 6 to 12 weeks, depending on scope. Remediation can include policy changes and Terraform or CloudFormation modifications. Teams that want adversarial validation can review SiegePal's penetration testing services. An assessment is not a certification audit.

This analysis reflects public information as of October 19, 2026.

Frequently Asked Questions

What is a cloud security assessment, and how do you conduct one?

It is an evaluation of how a cloud environment is configured, monitored, and governed. You conduct one by agreeing scope and read-only access first. Then build a control-plane inventory, test identity, exposure, encryption, and logging, and validate and retest findings.

What are the cloud security assessment steps?

Define scope and rules of engagement. Build a control-plane inventory, then analyze identities and map exposure. Verify key control and test logging and detection. Review pipelines, benchmark configuration, and validate attack paths. Prioritize remediation, then report and retest.

How is a cloud security assessment different from a posture scan?

A scan reports weaknesses one at a time. NIST SP 800-115 notes that scanners mainly find surface vulnerabilities. An assessment adds inventory checks, effective-permission analysis, detection tests, and validation of chained findings.

What access does an assessor need?

Read-only roles across the in-scope accounts, subscriptions, or projects are the usual starting point. Short-lived credentials and logged sessions limit risk. Write access should be limited to agreed remediation work.

How often should a cloud security assessment be repeated?

The sources reviewed for this article set no universal interval. Repeat after major architecture changes, new accounts or providers, and significant incidents. Monitor continuously between assessments.

Sources Used

Sources are ordered by category. Provider documentation pages show no publication date unless one is listed. Pages were opened on October 17 to 19, 2026.

Government, regulators, and standards

Official cloud and technology sources

Established security vendors

Other reputable technical and industry sources

Company sources (service scope only)

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