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Practical guidance on infrastructure, cybersecurity and enterprise AI, with engineering rationale, constraints and clear selection criteria.

Cybersecurity8 min read

Private AI and corporate data: where the security boundary really is

On-premises deployment reduces external dependencies, but access control, logging, prompt injection and data quality still require design.

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Enterprise AI8 min read

What to validate before taking RAG into production

RAG is more than a vector database: document quality, chunking, permissions, evaluation and index updates determine the outcome.

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Cybersecurity9 min read

What a practical cybersecurity baseline consists of

Antivirus alone is not a program: the baseline covers assets, identity, patching, segmentation, recovery, monitoring and response.

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