AI Security Policy Template for Enterprises (Free Download)

# [COMPANY NAME] ENTERPRISE AI SECURITY & ACCEPTABLE USE POLICY

Document Version: 1.0  
Effective Date: [Date]  
Approved By: Chief Information Security Officer (CISO) & Legal Counsel  
Applies To: All Employees, Contractors, Subcontractors, and Third-Party Vendors  

---

### 1. Purpose & Objectives
The purpose of this **AI governance policy** is to establish clear rules for the procurement, deployment, and operational use of Artificial Intelligence (AI) technologies—including Large Language Models (LLMs), AI coding assistants, image generators, and autonomous AI agents—at [Company Name]. 

The primary objectives are to:
* Safeguard corporate Intellectual Property (IP), customer Personally Identifiable Information (PII), and sensitive financial data.
* Ensure regulatory compliance under SOC 2, ISO 27001, GDPR, HIPAA, and industry standards.
* Prevent unauthorized exposure of proprietary source code and corporate trade secrets.

---

### 2. Scope & Applicability
This policy applies to all hardware devices, cloud environments, network connections, and software applications owned or managed by [Company Name]. It governs:
1. Web-based AI chat interfaces (e.g., ChatGPT, Claude, Google Gemini).
2. AI coding assistants and IDE plugins (e.g., Cursor AI, GitHub Copilot).
3. Enterprise SaaS applications incorporating embedded GenAI features.
4. Custom internal AI applications built using public or private LLM APIs.

---

### 3. Classification of Approved vs. Unapproved AI Tools

To maintain strict risk governance, AI applications are categorized into three tiers:

* **Tier 1: Enterprise Sanctioned Tools (Approved)**: Tools procured under corporate enterprise agreements with Zero Data Retention (ZDR) clauses and Single Sign-On (SSO) integration. Usage is permitted for business tasks.
* **Tier 2: Restricted Evaluation Tools (Under Review)**: Tools undergoing security and vendor risk assessment. Access requires explicit CISO approval.
* **Tier 3: Unapproved / Banned Shadow AI (Strictly Prohibited)**: Consumer-grade AI platforms, personal AI accounts, and unverified browser extensions. Inputting company data into Tier 3 tools is strictly prohibited.

---

### 4. Data Input Restrictions & Data Sensitivity Tiering

Employees must strictly adhere to data input restrictions based on [Company Name]'s Data Classification Standard:

| Data Classification | Description & Examples | AI Input Authorization |
| :--- | :--- | :--- |
| **Public Data** | Published marketing content, public documentation, press releases | **Allowed** across Tier 1 tools |
| **Internal Business Data** | Internal meeting notes, non-sensitive emails, general outlines | **Allowed only** in Tier 1 Enterprise instances |
| **Confidential / PII Data** | Customer PII, employee records, financial reports, health data (PHI) | **STRICTLY PROHIBITED** without automated DLP masking |
| **Restricted Secrets & IP** | Source code, cryptographic keys, credentials, trade secret algorithms | **STRICTLY PROHIBITED** in unmanaged prompt inputs |

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### 5. Account & Access Requirements
* **Corporate Credentials Only**: Employees must access approved AI tools exclusively using their corporate Single Sign-On (SSO) identity. Logins via personal email addresses or social accounts are strictly prohibited.
* **No Telemetry Retraining**: All corporate AI vendors must contractually guarantee that customer prompts, inputs, and outputs are never retained for model retraining.

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### 6. Code Generation & Intellectual Property (IP) Rules
* **Code Review Mandate**: All code generated by AI coding assistants must undergo human peer review and automated SAST/DAST security scanning prior to merging into production branches.
* **Licensing Compliance**: Employees must configure AI coding tools to block suggestions matching public open-source code to avoid copyleft license liabilities (e.g., GPL).

---

### 7. Incident Reporting & Policy Compliance
Any suspected data leak, accidental input of sensitive information into an unapproved AI tool, or security anomaly involving AI systems must be reported immediately to the IT Security Team at [security@company.com]. Non-compliance may result in disciplinary action up to and including termination.

+------------------------------------------------------------------------------------+
|                         Continuous AI Policy Enforcement Lifecycle                 |
+------------------------------------------------------------------------------------+
|  1. Policy Definition (Enterprise AI Security Policy Template)                      |
|  2. Real-Time Workspace Monitoring (TryAIDR Endpoint Agent Inspection)              |
|  3. Dynamic Policy Interception (Blocking Unapproved LLMs & Masking PII/Secrets)   |
|  4. Immutable Logging & Auditing (Centralized AI Audit Logs for SOC 2 & ISO 27001)   |
+------------------------------------------------------------------------------------+

{
  "policy_name": "enterprise-ai-governance-v1",
  "rules": [
    {
      "rule_id": "block-unapproved-ai-domains",
      "action": "redirect_to_approved_portal",
      "target_domains": ["unapproved-ai-tool.com", "random-llm-chat.io"],
      "message": "Access denied by Corporate AI Policy. Please use the approved Enterprise AI portal."
    },
    {
      "rule_id": "redact-secrets-and-pii",
      "action": "mask_before_send",
      "patterns": ["aws_secret_key", "jwt_token", "us_ssn", "credit_card"],
      "notify_user": true
    }
  ]
}