Blog · AI, cybersecurity and IT projects
An AI Project Manager’s blog: technology, regulation and IT projects
This AI Project Manager’s blog brings together reflections and practical cases on IT project management, cybersecurity, artificial intelligence and systems architecture, from the intersection of technology, regulation and business.
You’ll find analysis of regulations such as NIS2, DORA and the EU AI Act, real use cases applied to banking and regulated sectors, and reflections on how artificial intelligence is transforming project management and systems administration.
AI Project Manager blog categories
Latest posts from the AI Project Manager blog
-
Mandatory AI literacy (Article 4 of the EU AI Act): a plan for your workforce
Article 4 of the EU AI Act makes AI literacy an obligation. What it requires, who it affects and how to set…
-
EU register of AI systems (Article 71): beyond the inventory
What the EU register of AI systems under Article 71 of the EU AI Act is, who is required, what information it…
-
EU Data Act: what it means for your data and AI projects
What the EU Data Act is, what obligations it introduces on data access, portability and use, and how it impacts your AI…
-
AI in the SDLC: integrating artificial intelligence into secure development
A guide to integrating AI into the SDLC phase by phase, maintaining secure development, traceability and regulatory compliance in regulated environments.
-
AI and cybersecurity consultancy in Almería for businesses
How I approach AI and cybersecurity consultancy in Almería for companies in regulated sectors, focusing on compliance, risk and deliverable IT projects.
-
EU AI Act compliance timeline: key dates after the Digital Omnibus
Updated EU AI Act timeline after the Digital Omnibus: which obligations apply and when, what is postponed to 2027-2028, and a downloadable…
-
Regulatory overlap of DORA, NIS2, ENS and the AI Act: comply without duplicating
How to manage the regulatory overlap between DORA, NIS2, GDPR, the EU AI Act and the ENS to comply once and demonstrate…
-
The ENS (National Security Framework): a practical guide for IT projects
What the National Security Framework (ENS) is, who it obliges, its categories and how to face the audit without paralysing the project,…
-
Emotionally intelligent AI in the enterprise: uses, risks and governance for Project Managers (2026)
Does AI feel? How emotionally intelligent AI works in the enterprise, its real uses, its risks and its governance under the EU…
-
Enterprise AI model evaluation: benchmarks, red teaming and metrics 2026
Enterprise AI model evaluation: six critical dimensions, public benchmarks vs your own golden set, red teaming and the metrics you should report…
-
NIS2 penalties 2026: real cases and how to avoid them in IT projects
NIS2 penalties 2026: amounts, real cases, the most punished mistakes and a 90-day plan to reduce your organisation’s exposure to the national…
-
AI Project Manager portfolio: how to prove impact to recruiters in 2026
AI Project Manager portfolio 2026: a winning structure, how to quantify impact, mistakes that rule you out and SEO so recruiters find…
Where to start reading this blog
If you’re here for the first time, these are the starting points to understand how I work as an AI Project Manager and how I see the intersection of technology and regulation.
- About me — who I am, my background and how I work.
- AI Forge — artificial intelligence applied to real work.
- Cybersecurity — NIS2, DORA, ENS and a strategic approach.
- IT project management — programme management in regulated environments.
- Systems management — infrastructure, cloud and technical architecture.
Sources and regulatory references
To go deeper into the regulations mentioned in this blog, consult the official sources: DORA Regulation (EU) 2022/2554, NIS2 Directive and the EU AI Act.
If you’d like to discuss any of these topics, head to the contact page.
