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Simple risk quantification framework with scoring model and executive summary examples.

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1. Scoring Model

  • Likelihood (1–5): 1 = Rare, 5 = Almost Certain
  • Impact (1–5): 1 = Negligible, 5 = Severe / Business-crippling
  • Risk Score = Likelihood x Impact
Score Level Action
1–5 Low Accept / monitor
6–10 Medium Mitigate with planned controls
11–15 High Immediate treatment, exec visibility
16–25 Critical Escalate to Board; urgent mitigation

2. Example: Executive Summary

Top Risks – Q3 2025

  • Unauthorized access to production (Score: 20 – Critical)
    Controls: MFA, SSO, IAM reviews. Residual: 8 (Medium).
  • Vendor data breach (Score: 15 – High)
    Controls: TPRM, DPAs, SOC 2 reviews. Residual: 9 (Medium).
  • Unpatched critical vulnerabilities (Score: 16 – Critical)
    Controls: Weekly scanning, SLA remediation. Residual: 6 (Medium).

📊 Trend: Critical risks reduced from 4 → 2 since Q2 due to IAM improvements.


📂 Repo: security-policies

File: iam-access-review-checklist.md
Commit message: Add IAM access review checklist with quarterly review steps

# IAM Access Review Checklist

## Frequency
- Quarterly for critical apps and infrastructure
- Semi-annual for lower-risk systems

## Steps
1. **Pull access list** from IAM tool, SSO, or system exports  
2. **Validate role alignment** – each user has least-privilege role  
3. **Check joiner/mover/leaver events** – confirm timely provisioning/deprovisioning  
4. **Flag orphaned accounts** – disable or remediate immediately  
5. **Service accounts** – validate justification, vaulting, and rotation  
6. **Document findings** – approvals, revocations, risk acceptance  
7. **Report metrics** – % of accounts reviewed, # of removals, exceptions  

✅ Use evidence (tickets, signed review logs, system screenshots) for audits.

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Simple risk quantification framework with scoring model and executive summary examples.

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