Type: Web Article Original link: https://www.cybersecurity360.it/legal/ai-act-ce-il-codice-di-condotta-per-un-approccio-responsabile-e-facilitato-per-le-pmi/ Publication date: 2025-09-06
Summary #
WHAT - The Cyber Security 360 article discusses the Code of Conduct on AI, a non-binding document that provides best practices for the early adoption of the regulations of Regulation (EU) 2024/1689 (AI Act). This code guides providers of general-purpose AI models (GPAI) towards a responsible approach and compliance with future regulations.
WHY - It is relevant for AI business because it helps companies prepare in advance for European regulations, reducing legal risks and improving the transparency and security of AI models. This can increase user trust and facilitate the adoption of AI technologies.
WHO - Key players include the European Commission, the AI Office, thirteen independent experts, over a thousand entities including industrial organizations, research bodies, civil society representatives, and AI technology developers.
WHERE - It is positioned in the European market, providing a framework for the responsible adoption of AI pending the full regulations of Regulation (EU) 2024/1689.
WHEN - The code was published in July 2024 and applies pending early compliance starting from August 2024. It is a transitional document towards full regulation.
BUSINESS IMPACT:
- Opportunities: Preparing in advance for European regulations can reduce legal risks and improve corporate reputation.
- Risks: Non-compliance with future regulations can lead to penalties and loss of user trust.
- Integration: The code can be integrated into existing business practices to ensure compliance and transparency.
TECHNICAL SUMMARY:
- Core technology stack: Not specified, but refers to general-purpose AI models (GPAI).
- Scalability and architectural limits: The code does not impose technical limits but promotes standardized practices for documentation and security.
- Key technical differentiators: Transparency, copyright protection, and management of systemic risks.
Use Cases #
- Private AI Stack: Integration into proprietary pipelines
- Client Solutions: Implementation for client projects
- Strategic Intelligence: Input for technological roadmap
- Competitive Analysis: Monitoring AI ecosystem
Resources #
Original Links #
- AI Act, there is the code of conduct for a responsible and facilitated approach for SMEs - Cyber Security 360 - Original link
Article suggested and selected by the Human Technology eXcellence team, processed through artificial intelligence (in this case with LLM HTX-EU-Mistral3.1Small) on 2025-09-06 10:21 Original source: https://www.cybersecurity360.it/legal/ai-act-ce-il-codice-di-condotta-per-un-approccio-responsabile-e-facilitato-per-le-pmi/
The HTX Take #
This topic is at the heart of what we build at HTX. The technology discussed here — whether it’s about AI agents, language models, or document processing — represents exactly the kind of capability that European businesses need, but deployed on their own terms.
The challenge isn’t whether this technology works. It does. The challenge is deploying it without sending your company data to US servers, without violating GDPR, and without creating vendor dependencies you can’t escape.
That’s why we built ORCA — a private enterprise chatbot that brings these capabilities to your infrastructure. Same power as ChatGPT, but your data never leaves your perimeter. No per-user pricing, no data leakage, no compliance headaches.
Want to see how ready your company is for AI? Take our free AI Readiness Assessment — 5 minutes, personalized report, actionable roadmap.
Related Articles #
- AI Act Single Information Platform | AI Act Service Desk - AI
- Why your business needs private AI (not ChatGPT) - AI, Privacy, GDPR
- AI Act 2026: a practical guide for European SMEs - AI Act, GDPR, Compliance
FAQ
How can AI improve software development productivity in my company?
AI coding assistants can dramatically accelerate development — from code generation to testing to documentation. However, using cloud-based tools like GitHub Copilot means your proprietary code is processed externally. Private AI coding tools on your infrastructure keep your codebase secure while boosting developer productivity.
What are the security risks of AI-assisted coding?
Studies show AI-generated code has 1.7x more major issues and 2.74x higher security vulnerabilities. The solution isn't avoiding AI — it's pairing AI assistance with proper code review, security scanning, and private deployment to prevent IP leakage.