COMPLIANCE · EU AI ACT · REG 2024/1689

Secure coding training built for
the EU AI Act.

AI Act Articles 9–15 don't accept "we read the regulation." They expect demonstrable competence in risk management, data governance, logs, human oversight, accuracy, robustness and cybersecurity — per developer who ships AI features.

Aug 2026Full enforcement
Art. 15Cybersecurity
85+AI topics covered

The EU AI Act is now your AI development checklist.

The EU Artificial Intelligence Act (Regulation 2024/1689) is the first horizontal AI regulation in the world. High-risk AI systems — recruitment, credit scoring, biometric ID, critical infrastructure, education, law enforcement — face binding requirements across the lifecycle, including secure development.

Articles 9 through 15 set the technical bar: a risk management system across the AI lifecycle, data and data governance, technical documentation, logs, human oversight, and an acceptable level of accuracy, robustness and cybersecurity. "We trained the team on AI ethics" is not evidence of any of those.

Articles 9–15 — and how the training covers each.

Each high-risk-system article is mapped to hands-on challenges, guided scenarios and per-developer evidence drawn from the OWASP LLM Top 10, OWASP Agentic AI Top 10 and Secure AI-Assisted Development tracks.

Article
Requirement
Training coverage
Art.9
Risk Management System
Establish, implement and document a continuous risk management process across the AI system lifecycle (Art. 9).
Agentic AI memory poisoning + reward manipulation; LLM data and model poisoning training tracks.
Art.10
Data and Data Governance
Training, validation and testing data sets meet quality, representativeness and integrity criteria (Art. 10).
LLM training-data extraction + poisoning; PII disclosure in responses; embedding inversion attacks.
Art.11
Technical Documentation
Draw up technical documentation demonstrating compliance before placing the high-risk system on the market (Art. 11).
AI Dev Tools compliance-evidence gaps training; mandatory per-developer completion record.
Art.12
Record-Keeping (Logs)
AI systems must allow automatic recording of events (logs) over their lifetime (Art. 12).
Agentic AI missing-audit-trail + action-attribution training; secure logging patterns per language.
Art.14
Human Oversight
Design high-risk AI systems so they can be effectively overseen by natural persons (Art. 14).
Agentic AI HitL fatigue + default-accept attack training; safe approval pattern design.
Art.15
Accuracy, Robustness, Cybersecurity
Achieve appropriate accuracy, robustness and cybersecurity throughout the AI system's lifecycle (Art. 15).
LLM prompt injection + improper output handling + unbounded consumption; full OWASP LLM Top 10 stack.

Per-developer evidence your notified body will accept.

The platform records every completed challenge and scenario per developer, tagged to the AI Act article and the underlying CWE. Exportable as PDF or SARIF — ready for the technical documentation file under Article 11.

  • Per-developer completion log tagged to Articles 9–15.
  • Underlying CWE per topic — supports cybersecurity reporting under Art. 15.
  • Time-stamped, signed PDF export — drops straight into the technical documentation file.
  • Coverage dashboard rolled up to risk-management, data-governance and oversight subsections.

Common questions from AI Act compliance teams.

When does the AI Act become enforceable?

Most operative provisions, including the high-risk system requirements in Articles 9–15, become enforceable on 2 August 2026. Some prohibited-practice articles applied earlier (February 2025). Article 12 (logs) is already operational language for any deployment going live before August.

Does the AI Act apply to my company if we're outside the EU?

Yes — the Act is extraterritorial. If your AI system's output is used in the EU, or you place the system on the EU market, you're in scope regardless of where your engineering team sits.

Is developer training actually mentioned in the AI Act?

Article 4 of the AI Act explicitly requires providers and deployers to ensure AI literacy of personnel involved in operating and using AI systems. For Article 15 (cybersecurity) the literacy bar is technical, not abstract — exactly what SecureCodingHub provides evidence for.

How is this different from our existing security training?

Existing platforms cover OWASP Web/API/Mobile/Client. SecureCodingHub adds OWASP LLM Top 10, OWASP Agentic AI Top 10 and Secure AI-Assisted Development — the categories that map to AI Act Articles 9, 10, 14 and 15 specifically. Nothing else on the market does.

Can we export evidence for our notified body?

Yes. Per-developer PDF export, framework-mapped roll-up dashboard, and a public certificate-verification page each notified body can validate independently. SARIF export for engineering teams that want machine-readable evidence.

What about ISO 42001 and NIST AI RMF?

Both are mapped to the same underlying training catalog. ISO 42001 evidence and NIST AI RMF GOVERN/MAP/MEASURE/MANAGE evidence build at the same time as your AI Act evidence — one training, three frameworks satisfied.

AI Act enforcement is in months, not years.

30 minutes with our team. We'll walk through the AI Act mapping, show you the per-developer evidence export, and how SSO and SCIM light up for your IdP.