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
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MCP in enterprise projects: architecture, governance and risks of the Model Context Protocol
MCP in enterprise projects: how to connect AI with internal systems securely, real risks and a practical guide for PMs and CISOs.
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AI agents in regulated environments and sectors: compliance and governance
How to deploy AI agents in regulated sectors without breaking the EU AI Act, NIS2 or DORA. Governance, providers and architecture, step…
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Claude Mythos cybersecurity: when AI surpasses hackers
Claude Mythos cybersecurity: analysis of Anthropic’s experiment, its offensive and defensive implications and AI governance.
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DORA regulation: digital operational resilience for the financial sector
DORA in banking and fintech: five pillars, real deadlines and how they fit with NIS2 and the EU AI Act. What I…
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AIOps for IT projects: intelligent automation of operations
AIOps for IT projects: what it is, use cases, phased implementation, the NIS2, DORA and EU AI Act regulatory framework, and common…
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Compliance project management for NIS2: from delivery to compliance
NIS2 compliance from the first project phase, not the final audit. A method for Project Managers who can no longer look the…
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Digital transformation with AI: how to reinvent your company
Digital transformation with AI: key dimensions, use cases, EU AI Act, NIS2 and DORA governance and mistakes to avoid.
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Autonomous AI agents for the PMO: the new standard
Autonomous AI agents for the PMO: dynamic planning, risk prediction, automated reporting, governance and how to implement them.
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PMO agent architecture: how to design an AI agent for a PMO
PMO agent architecture: the four functional blocks (perception, memory, reasoning, action), decision flow, security, governance and EU AI Act compliance.
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Cybersecurity risk management: a strategic guide
Cybersecurity risk management: the full cycle, ISO 27005 and NIST frameworks, business alignment, NIS2/DORA and 2026 trends.
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Banking security in 2026: strategy, regulation and threats
Banking security in 2026: DORA and NIS2 regulation, deepfake and ransomware threats, Zero Trust architecture and defensive AI.
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AI cybercrime in 2026: deepfakes, phishing and defence
AI cybercrime 2026: deepfakes, intelligent phishing, ransomware and supply chain attacks, plus concrete defence strategies.
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.
