Patch Management Policy

Software Patch Management and Vulnerability Remediation Policy

Last Updated: May 19, 2026

Policy Owner: AI Bizlutions, LLC

1. Purpose

This policy establishes procedures for the timely identification, evaluation, testing, and deployment of security patches across all software dependencies and runtime environments operated by AI Bizlutions. The goal is to minimize the window of exposure to known vulnerabilities and maintain a secure platform for all customers.

This policy is aligned with NIST SP 800-40 Rev. 4 (Guide to Enterprise Patch Management Planning) and CIS Controls v8 Control 7 (Continuous Vulnerability Management).

2. Scope

This policy applies to the following components:

3. Severity Classification

Severity CVSS Score Range Examples
Critical 9.0 or above Remote code execution, authentication bypass
High 7.0 – 8.9 Privilege escalation, data exposure
Medium 4.0 – 6.9 Cross-site scripting (XSS), information disclosure
Low 0.1 – 3.9 Minor information leak, denial-of-service requiring local access

Note: Severity classification is aligned with CVSS v3.1 as published by the National Vulnerability Database (NVD).

4. Remediation SLA

Severity Maximum Time to Remediate SLA Clock Starts
Critical 24 hours Detection timestamp
High 72 hours Detection timestamp
Medium 7 calendar days Detection timestamp
Low 30 calendar days Detection timestamp
SLA is measured from the moment a vulnerability is detected by automated tooling or manually reported, whichever is earlier.

5. Responsibility Matrix

Severity Responsible Party Process
Critical Developer on-call Immediate hotfix branch + expedited deploy
High Sprint team Current sprint priority
Medium Sprint team Next sprint planning
Low Backlog Prioritized in grooming session

6. Automated Scanning

  1. GitHub Dependabot — automatically creates pull requests for vulnerable dependencies.
  2. npm audit in CI/CD — npm audit --audit-level=high runs before every deployment; Critical and High findings block the deploy.
  3. Dependabot security alerts — reviewed weekly; all Critical/High alerts triaged within SLA.
  4. GitHub code scanning — static analysis for common vulnerability patterns.

7. Patch Deployment Process

  1. Detect vulnerability via automated scan, advisory subscription, or manual report.
  2. Classify severity per Section 3 using CVSS base score.
  3. Create tracking issue with severity label and SLA deadline.
  4. Develop fix (dependency version bump, code patch, or compensating control).
  5. Test in development environment.
  6. Deploy via push to main branch (standard deployment pipeline).
  7. Verify remediation with post-deploy npm audit.

8. Exception Process

When an SLA cannot be met, the following is required:

9. AWS Managed Services

AWS manages patching for the Lambda runtime environment, DynamoDB, API Gateway, CloudFront, S3, and SES under the shared responsibility model. AI Bizlutions is not responsible for OS-level or hypervisor-level patches on these services.

Platform responsibility includes:

10. Reporting

A monthly vulnerability posture summary is produced including:

The report is delivered to the engineering lead on the first business day of each month.

11. Compliance References

12. Review and Updates

This policy is reviewed annually or upon significant infrastructure change.

Version 1.0 — Effective May 19, 2026.

Next scheduled review: May 2027.