> ## Content Index
> Fetch the complete content index at: https://www.aigl.blog/llms.txt
> Use this file to discover other available public pages before exploring further.

# Prysmian Group AI Policy: Corporate AI Governance Framework
- URL: https://www.aigl.blog/review-prysmian-ai-governance-ai-policy/
- Published: 2026-08-31T12:46:46.000Z
- Updated: 2026-09-12T20:07:18.000Z
- Description: This Policy outlines Prysmian’s commitment to responsible AI use to ensure ethical considerations are upheld, AI risks are managed, and compliance to applicable regulations is achieved. The document provides a framework to guide all AI-related activities, establishing acceptable behaviors.
- Author: Jakub Szarmach
- Tags: AI Governance, Corporate Policy, EU AI Act, Compliance, Risk Management, Policy, #aigl-library

[Download the reviewed documentOriginal source PDF used for this reviewPrysmian Group AI Policy - Corporate AI Governance Framework.pdf1 MBdownload-circle](https://www.aigl.blog/content/files/2026/08/Prysmian-Group-AI-Policy---Corporate-AI-Governance-Framework.pdf "Download")

## ⚡ Quick Summary

Approved by the Prysmian S.p.A. Board of Directors in October 2025, the *AI Governance - AI Policy* establishes mandatory operating principles, risk management practices, and behavioral rules for deploying artificial intelligence across all Prysmian Group entities. Grounded in the European Union AI Act, Italian Law No. 132/2025, GDPR, ISO/IEC 42001, ISO/IEC 23894, and NIST AI RMF 1.0, the document addresses traditional, generative, and agentic AI systems. It explicitly bans prohibited AI use cases, strictly regulates enterprise data and intellectual property sharing, restricts the execution of unverified AI-generated code, mandates human oversight on impactful decisions, and defines cross-functional governance responsibilities spanning executive IT, cybersecurity, compliance, DPO, legal, HR, and procurement units.

## 🧩 What's Covered

The policy lays out an end-to-end organizational and operational blueprint for enterprise AI adoption:

- **Taxonomy & Technology Scope:** Defines clear operational boundaries across Machine Learning, Deep Learning, Generative AI (including chatbots and internal document retrieval), and Agentic AI architectures powered by Large Action Models (LAMs).
- **Ethical & Operational Principles:** Incorporates core tenets derived from ALTAI and corporate ethics, focusing on lawfulness, accuracy, transparency, fairness, non-discrimination, robustness, safety, human supervision, and institutional accountability.
- **Prohibited AI Practices:** Explicitly forbids systems utilizing manipulative techniques, social scoring, vulnerability exploitation, untargeted facial recognition scraping, remote biometric identification for law enforcement, and emotion recognition in workplaces unless deployed for specific security reasons.
- **Enterprise Usage Guardrails:** Prohibits using corporate credentials on public consumer AI tools (e.g., ChatGPT), running unapproved AI plugins or APIs, and executing GenAI-generated code on company systems without authorization.
- **Data Governance & IP Protection:** Aligns data uploads with corporate classification levels (Confidential Restricted, Confidential, Internal, Public). Forbids exporting proprietary data or trade secrets to unvetted third-party AI models and mandates copyright compliance for training and output use.
- **Organizational Model:** Assigns explicit cross-functional duties to the Compliance & DPO Office, Information & Cybersecurity, HR, Purchasing, the Office of Corporate CIOs & Governance IT, and the multidisciplinary AI Governance Committee for risk classification, auditing, system inventory maintenance, and incident escalation.

## 💡 Why it matters?

This policy serves as a practical, real-world blueprint of an industrial multinational operationalizing strict European regulatory frameworks (the EU AI Act and national legislation like Italian Law No. 132/2025). Rather than treating AI in isolation, Prysmian bridges cybersecurity, intellectual property, data classification, and enterprise risk management into concrete employee and procurement mandates, offering governance practitioners a clear corporate benchmark.

## ❓ What's Missing

While the policy defines operational expectations and structural roles, it functions as a high-level policy rather than an implementation playbook. Detailed technical thresholds for system audits, standardized evaluation rubrics for generative model quality/drift, exact procurement contract clauses, and specific criteria for qualifying automated decision workflows without human-in-the-loop oversight are left to subordinate operational procedures and guidelines.

## 👥 Best For

Chief Information Security Officers (CISOs), Chief Compliance Officers, Data Protection Officers (DPOs), enterprise AI governance leads, legal counsel, and risk managers designing board-approved AI governance and acceptable use policies aligned with EU regulations.

## 📄 Source Details

**Title:** AI Governance - AI Policy  
**Author / Approver:** Approved by Prysmian S.p.A. Board of Directors  
**Publication Date:** October 29, 2025  
**Document Reference:** Approved Corporate Policy (Prysmian Group)

## 📝 Thanks to

Prysmian S.p.A. Board of Directors and corporate governance functions for developing and approving this structured organizational policy framework.