12 posts
GDPR and AI in practice: PII masking, self-hosting, lawful basis and data residency. How to deploy AI without exposing customer data.
From August 2026, the AI Act is enforceable. What this means in practice: transparency, human oversight, DPIA, and how to design compliance from the first line of code—not after an incident.
How AI in recruitment accelerates data extraction from CVs, reduces bias, and meets RODO and AI Act requirements. A practical guide for Polish HR companies.
Documents, research, and client service make up 80% of a law firm's work—and that's where AI actually saves time. With confidentiality preserved.
How to protect personal data before sending it to AI models. PII masking patterns, pseudonymization, GDPR, and practical architecture for businesses.
What synthetic data is, when it replaces real data in AI training and testing, how to generate it in compliance with GDPR and AI Act, and which risks to control.
A malicious instruction in content can hijack an AI assistant. What prompt injection is and how we build defenses before something goes wrong.
When using AI requires a data processing agreement (DPA), what it must include, and how to avoid legal gaps when implementing an assistant or automation.
How an open data portal powers a developer website with reliable neighborhood information—legally, automatically, and with SEO benefits.
Why self-hosted LLM and RAG on your own knowledge give you control over cost, privacy, and provider.
Scraping isn't illegal by definition—but it has limits. Personal data, terms of service, database rights, and technical best practices.
How to use Ollama Cloud in an organization responsibly: via a router, with PII masking and cost control - instead of direct calls.
Why a self-hosted language model simplifies GDPR compliance and what exactly changes in the flow of personal data.