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EN — 2026

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Wir sprechen über technische Probleme in menschlicher Sprache.

Hinweise zu benutzerdefinierter Software, KI, Cybersicherheit, aktuellen Softwareankündigungen und Transparenz, die dir wirklich dabei helfen, Entscheidungen zu treffen.

Zuerst die neuesten Beiträge anzeigen ·4 / 6

PRIVACY

Privacy by design: a decision from the start, not a document afterwards

Protecting personal data is not only about writing a notice; it is about designing the product so it never needs unnecessary data.

28 September 20268 min read
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CURRENT / GOVERNANCE

What does NIST’s AI-assisted cyber security approach say?

Using AI in security requires increasing analysis and reporting capacity without removing human decision responsibility.

28 September 20267 min read
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DATA & OPERATIONS

How do you plan a zero-downtime data migration?

Moving users to a new structure without making them wait needs a controlled transition plan, not a one-off copy.

28 September 20269 min read
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COOKIES

Cookie consent is not just a pop-up

Instead of bundling mandatory technical records with ad tracking in one button, what is required must be separated clearly.

27 September 20266 min read
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CURRENT / CLOUD

Why is following the Kubernetes CVE feed not enough?

Whether a vulnerability affects your cluster depends on configuration and components, not only on the CVE title.

27 September 20268 min read
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SEO & CONTENT

Content decay: when should old articles be updated?

SEO is not only producing new articles; it is regularly improving content that is no longer correct, complete, or meeting search intent.

27 September 20267 min read
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LOCAL ARTIFICIAL INTELLIGENCE

When is local AI the right choice?

An in-house model or local inference makes sense not for every problem, but when data control, latency and operations needs are clear.

26 September 20269 min read
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CURRENT / WINDOWS

How do you manage Microsoft’s monthly security update rhythm?

Instead of waiting for Patch Tuesday, turn devices, apps, backups and rollback plans into a monthly operation.

26 September 20267 min read
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ARTIFICIAL INTELLIGENCE

How do we measure an AI model? From demo to production quality

A model giving an impressive example does not mean it is reliable in production. Measurement must be built on real tasks and error cost.

26 September 20269 min read
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AI SECURITY

Finding the right document in RAG is not enough

RAG brings the model together with company data; search, permissions, source citation and data lifecycle must be built together.

25 September 20268 min read
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