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AI Training March 28, 2026 ยท 9 min read

Secure AI vs Conventional AI: Why Generic Training Is Not Enough

The market is flooded with courses that teach ChatGPT. The EU AI Act requires something different: your team must understand risks, limitations, and how to use AI without compromising data or breaking regulations. These are not the same thing, and the difference can cost up to 35 million euros.

CS

Carlos Salgado

CEO & Co-founder ยท Delbion

Secure AI vs conventional AI enterprise training

When someone mentions "AI training" for a company, the image that usually comes to mind is a prompts course, a ChatGPT demo, and maybe some Zapier automation. That is not secure AI training. It is basic digital literacy.

The EU AI Act has a completely different vision. And from August 2026, that difference can translate into fines of up to 35 million euros.

The problem with generic AI training

The AI training market has exploded. In the past two years, hundreds of courses, academies, and platforms have emerged promising to turn any employee into an "AI expert" in a few hours. Most share the same approach: tools, prompts, and productivity.

That approach is not wrong. The problem is what it omits:

  • It does not explain which data can be sent to an AI model and which cannot.
  • It does not teach how to identify when an AI response is a hallucination.
  • It does not prepare teams to use AI in regulated processes (healthcare, finance, HR, legal).
  • It generates no documented evidence that the company has trained its staff.

And that last point is the one that matters most from a regulatory compliance perspective.

The EU AI Act does not require your team to be productive with AI. It requires them to be AI literate: understanding capabilities, limitations, and risks. A prompts course does not cover that.

What the EU AI Act actually requires

Article 4 of the EU AI Act establishes that operators of AI systems must take measures to ensure, to the best of their ability, a sufficient level of AI literacy among their personnel.

That means training must cover at least:

1
Understanding what AI is and how it works

No need to code. But you do need to understand that a language model predicts text โ€” it does not "think" โ€” and that it can be wrong in a convincing way.

2
Risk identification by use context

Using AI to draft an internal email carries different risks than using it to support a medical diagnosis or review a legal contract. The team must know the difference.

3
Knowledge of applicable legal obligations

GDPR and the EU AI Act impose specific restrictions on what data can be processed by third-party AI systems. Your team needs to know them.

4
Human oversight capability

The EU AI Act insists that humans must maintain control over AI-assisted decisions, especially in high-impact sectors.

Conventional vs secure AI: key differences

Aspect Generic AI training Secure AI training
Main focus Productivity and tools Responsible use and compliance
Data management Not covered or mentioned briefly Core of the programme: what data goes in, what does not
Risks and limitations Rarely addressed in depth Dedicated module per risk type
Legal framework Absent or superficial EU AI Act, GDPR, NIS2 integrated
Documented evidence Basic participation certificate Documentation valid for inspections
Covers Art. 4 EU AI Act Generally no Yes, if well designed

Real risks of using AI without proper training

These are not theoretical risks. They are already happening:

Real case (2024): A New York law firm was fined for submitting a legal brief with invented case law citations generated by ChatGPT. The attorney did not verify any of them because they trusted the tool blindly.

The most common risks in companies using AI without training:

  • Data leakage: An employee enters client data (names, IDs, medical records) into ChatGPT or similar. If the system uses that data for training, there is a GDPR breach.
  • Hallucination-based decisions: The AI invents data, figures, or references. Without a verification protocol, those decisions get executed.
  • Algorithmic discrimination: Using AI in hiring or employee evaluation without proper controls can violate equality regulations.
  • Regulatory non-compliance: In healthcare, using AI for diagnosis or triage without EU AI Act controls exposes the institution to serious sanctions.
35M EUR
Maximum fine for EU AI Act non-compliance (or 7% of global turnover)

What secure AI training must include

Training that genuinely covers Article 4 of the EU AI Act must include at minimum:

  • Fundamentals of how AI models work (no jargon, but no oversimplification)
  • Applicable legal framework: EU AI Act, GDPR, sector directives
  • Data classification: what can and cannot be processed with AI
  • Hallucination identification and verification protocols
  • Use cases by department: marketing, legal, HR, finance, operations
  • Company AI usage policy: drafting or reviewing the existing one
  • Documented evidence: certificates valid for demonstrating compliance to inspectors

FUNDAE: mandatory training at zero cost

Here is the good news. Training in secure AI application in the workplace is 100% subsidisable through FUNDAE for most Spanish companies.

Delbion's "Secure AI Application in Business" course (10 hours) is specifically designed to cover Article 4 of the EU AI Act and is subsidisable through FUNDAE. Cost without subsidy: 75 EUR per person. Cost with FUNDAE credit: 0 EUR.

Less than 5 months remain until August 2026. Companies that train their teams now will have the documentation needed to demonstrate compliance. Those that do not, will not.

Frequently asked questions

What is the difference between generic AI training and secure AI training?

Generic AI training teaches tools: how to use ChatGPT, how to write prompts, how to automate tasks. Secure AI training goes further: it teaches which data can be entered into an AI system and which cannot, how to detect hallucinations, what using AI in regulated environments (healthcare, finance, legal) implies, and how to comply with the EU AI Act. The first is useful; the second is mandatory from a regulatory perspective.

Does the EU AI Act require training for all employees?

Yes. Article 4 of the EU AI Act establishes that operators of AI systems must ensure their personnel have a sufficient level of AI literacy. This applies to all workers who use AI tools in their work, not just technical teams. The obligation has been in force since February 2025, with enforcement and penalties starting in August 2026.

What are the risks of using AI without proper training?

The main risks are: inadvertent leakage of confidential or personal data to third-party AI systems, decision-making based on AI hallucinations without human verification, use of AI in regulated processes without required controls, non-compliance with the EU AI Act with fines up to 35 million euros or 7% of global turnover, and civil liability for decisions made with non-audited AI support.

How long does it take to train a company in secure AI?

A secure AI training program for companies can be completed in 10 hours, distributed across 2-3 hour sessions. It is typically completed in 2 to 4 weeks combining live sessions and asynchronous material. This is sufficient to cover the EU AI Act AI literacy requirements and obtain documented evidence of training received.

Train your team before August 2026

Our "Secure AI Application in Business" course covers Article 4 of the EU AI Act, is subsidisable through FUNDAE, and generates the documentation you need to demonstrate compliance.

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