Executive Summary
Cross-cutting themes, severity counts, top risks, and optional AI-assisted narrative clearly labeled and frozen at report time.
The assessment output is designed to be readable without losing the technical evidence IAM owners need to verify and remediate findings.
Cross-cutting themes, severity counts, top risks, and optional AI-assisted narrative clearly labeled and frozen at report time.
Seat usage, dormant accounts, owned-but-unused capabilities, customer-provided agreement context, and renewal-planning questions when available.
MFA posture, session lifetime, weak factors, admin policy, high-value app policy, and app-specific exceptions.
Admin assignments, custom roles, service apps, API tokens, resource sets, and privileged ownership patterns.
A table of findings with severity, category, framework mappings, affected entities, and recommended next steps.
Passed checks, manual observations, methodology, glossary, and detailed evidence for operator review.
A concise customer report gives leadership and security owners the prioritized view. The detailed operator report adds evidence, screenshot placeholders, raw excerpts, and analyst notes for validation and remediation work.
| Profile | Audience | Contents |
|---|---|---|
| Summary | Customer | Executive summary, posture scorecard, prioritized findings, framework coverage, and license highlights. |
| Detailed | Operator | Everything in Summary plus full finding cards, evidence blocks, screenshots, excerpts, and analyst notes. |
Findings are produced by deterministic checks against captured snapshot evidence and are fully traceable. Optional AI-assisted summaries are labeled, run on Atomation-controlled infrastructure, and never determine findings or send customer identity data to a third-party model.
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