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Articles, videos, webinars, and checklists on GDPR, AI compliance, and NIS-2 – drawn from daily consulting practice, and implementable with reasonable effort.
1-10 of 20 posts
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What must companies consider when documents are lost in the mail?
If a shipment containing personal data is lost, the risk to the individuals involved is significant. What companies need to consider now.
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Data protection when working from home
Home office shifts data processing into the private sphere. What technical and organizational measures companies need to take for this. -
Handling access requests from rejected applicants
Rejected applicants often ask about the reasons. When companies must provide information – and when they are not required to do so. -
When is consent under the GDPR valid?
Consent is not a standard solution. When it becomes the legal basis after GDPR it has taken effect. -
Who actually bears responsibility when the AI responds?
Generative AI generates its own answers, rather than simply referencing sources. Who is responsible for this?
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AI changes images – but does it need to be labeled?
AI image processing raises data protection issues – and the question of whether edited images need to be labeled. -
Artificial Intelligence and Cyber Risks
AI fundamentally changes the threat landscape in cybersecurity – for example through automated phishing campaigns. -
AI deployment in the company – Who keeps track?
More and more companies are using AI. This requires clear responsibilities and transparent processes. -
Why standard passwords can give attackers direct access to your systems
A single weak password can be enough. Why factory-preset access data are particularly critical.
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Why TLS 1.0 and TLS 1.1 are a security risk today
TLS protects data transmission between the browser and the web server. Why 1.0 and 1.1 are risky.
