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, explained by an AI Project Manager.
Cybersecurity
IT Security and Digital Privacy
Cybersecurity is no longer optional. In a world where identity dissolves among algorithms, it is a fundamental necessity. That is why here you will find practical guides on cybersecurity, data protection and digital privacy.
Understanding IT security goes beyond antivirus. It is about regaining sovereignty over your information. It also means making informed decisions in a constantly changing technological environment.
From risk management to data protection, we explore this discipline as a way of life —not just as a technical subject.
If your organisation is affected by the NIS2 directive or you need an executable strategic cybersecurity plan, that is your starting point.
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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 authority.
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Secure enterprise RAG: architecture, data leaks and the EU AI Act
Secure enterprise RAG: reference architecture, data-leak risks and EU AI Act compliance. A practical guide to taking Retrieval Augmented Generation to production without surprises.
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AI asset inventory: the discipline the AI Act postponement doesn’t change
The AI Omnibus postpones high risk to December 2027, but it does not postpone the AI asset inventory. How to build the living register and life cycle your compliance must close before August 2026.
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Can AI fill the cyber-expert deficit in banking?
AI cybersecurity banking DORA: why AI does not fill the cyber-expert deficit, it shifts it. An analysis of the real limit under DORA.
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DORA and the cyber experts missing from banking
Cybersecurity talent shortage in banking: 15,000 vacancies DORA requires filling since 2025. The solution with a senior AI/Cyber Project Manager.
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Shadow AI in the company: how to govern AI use without slowing productivity
Shadow AI in the company: how to detect, measure and govern employees’ AI use without slowing productivity or breaking compliance.
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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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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.
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Cybersecurity and IT security: key differences
Cybersecurity and IT security: differences, scope and why they are not the same. A clear guide for IT companies.
