Internal Policy: Ethical AI Usage & Data Sovereignty

Fictitious Company: Cyber-Peak Analytics (AI-Driven Financial Intelligence)

Effective Date: April 28, 2026

Policy Custodian: Chief Technology Officer (CTO)

1. Full Policy Document

I. Purpose

The purpose of this policy is to establish clear boundaries for the use of Generative AI and Large Language Models (LLMs) within Cyber-Peak Analytics. We aim to harness AI productivity while protecting proprietary trade secrets, client confidentiality, and maintaining the “Human-in-the-Loop” (HITL) standard for financial advice.

II. Scope

This policy applies to all full-time employees, contractors, and third-party vendors (collectively referred to as “Users”) who access Cyber-Peak systems or perform work on behalf of the company.

III. Rules & Expectations

• Data Tiering: Users are strictly prohibited from inputting “Tier 1” data (unmasked client financial records, PII, or unpublished algorithm code) into any public or third-party AI tool not explicitly cleared by the DevOps team.
• The Attribution Rule: Any external-facing report or internal strategic document generated with significant AI assistance must include a “Technical Appendix” disclosing which models were used and for what purpose.
• Mandatory Verification: AI-generated outputs (code, data summaries, or market analysis) must never be treated as a “Single Source of Truth.” A designated Human Reviewer must verify all facts, citations, and logic before execution or delivery.
• Tool Standardization: Users may only use company-provisioned Enterprise accounts (e.g., Cyber-GPT Enterprise) which ensure data is not used for model training. The use of personal “Free-tier” AI accounts for business tasks is a Tier 1 security violation.

2. Summary Version

The “Peak-3” Safety Check:

1. Never put private client data into a public AI.
2. Always use company-approved Enterprise accounts.
3. Every AI output must be checked and signed off by a human before it leaves your desk.

3. Examples of Application

4. Common Misunderstandings

• “Incognito mode makes it safe”: False. Browser privacy settings do not prevent the AI provider from logging and training on the data you type into the prompt box.
• “It’s just a draft”: Even if the final version is edited, the act of putting sensitive data into the tool creates the security breach.
• “The AI said it was true”: AI models can “hallucinate” plausible-sounding but false financial data. The human employee remains 100% liable for the accuracy of their work.

5. Enforcement Notes

• Monitoring: Cyber-Peak reserves the right to audit prompt logs within the Enterprise AI environment to ensure compliance with Data Tiering rules.
• Violations: Failure to comply with the Data Tiering rule (inputting Tier 1 data into public tools) will result in immediate suspension of AI access and may lead to disciplinary action, up to and including termination.
• Self-Reporting: Accidental disclosure of sensitive data to an AI tool must be reported to the IT Security channel within 1 hour of the event.