Publication date: October 23, 2025
The Polish Ministry of Digital Affairs is establishing a new sectoral cybersecurity incident response team – CSIRT Cyfra. The formal establishment of CSIRT Cyfra is planned for April 2026, with full operational readiness for June 2026. The unit will be responsible for protecting digital infrastructure, and its tasks will include monitoring threats, rapidly responding to attacks, and providing technical support to institutions using digital services.
More
Publication date: October 23, 2025
Adversarial attacks and why are they possible
The capabilities of AI systems are increasingly impressive, largely based on machine learning. This technique allows for the “training” of algorithms by providing vast amounts of data, which in turn leads to the automation of the algorithm and a radical increase in its “cognitive” capabilities, particularly through generalization, drawing conclusions from the obtained data, and predictive language models that allow for highly probable prediction of the next word that fits a given statement or sentence, taking into account its context. Most AI systems are based, to be precise, on a specific variety or technique of machine learning, referred to as an artificial neural network, or deep neural network, a metaphor that approximates the logic of AI systems to the functions of the human brain.
More
Publication date: October 21, 2025
Currently, useful data includes not only specific information organized into rows, columns, or databases, but also data that is not organized in any specifically defined way. This constitutes the majority of data we encounter, including images and text documents such as tweets and blog posts. Thousands of individuals and organizations generate it daily, with little regard for how it can be used. It is precisely thanks to unstructured data that such rapid AI development is possible through machine learning, which involves training algorithms to find patterns and correlations in large data sets.
More
Publication date: October 21, 2025
Under EU Law, namely Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) (hereinafter “GDPR”) and the pending entry into application of Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directive 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Act) (hereinafter “AIA”), the use of sensitive data (including medical data) for AI training would only be possible after obtaining consent, in cases specified by law, or when using anonymized data. AIA is not a lex specialis vis-à-vis the GDPR, so when using personally identifiable data, using data for AI model training requires meeting the requirements of both acts.
More
Publication date: October 10, 2025
The development of artificial intelligence
Artificial intelligence is an interdisciplinary field of knowledge combining elements of computer science, mathematics, statistics, neuroscience, and cognitive science. Its goal is to create systems capable of performing tasks that previously required human intelligence. This includes the ability to learn from data, reason, make decisions, recognize patterns, and process and generate natural language. Unlike traditional programming, in which a computer executes strictly defined instructions, artificial intelligence aims to grant machines a degree of autonomy, allowing them to independently adapt their strategies to changing conditions. Today, AI is no longer an abstract theoretical concept, but a practical tool.
More
