The relevance of the study is conditioned by the growing risks of falsification of digital documents, forgery of electronic signatures, metadata manipulation, and distribution of synthetic content that replaces the content of authentic sources. The purpose of the study was to determine the theoretical foundations for the establishment of a comprehensive system for the protection of electronic documents, combining regulatory, technical, and information and analytical verification mechanisms, in the context of increasing risks of potentially destabilising impacts of artificial intelligence systems. The paper considered the regulatory framework, approaches, and mechanisms for ensuring the authenticity of electronic documents in the context of rapid development of content generated using artificial intelligence systems. The current Ukrainian legislation governing electronic trust services and document management was analysed, including the international standards of eIDAS, ETSI, ISO/IEC, and C2PA, which regulate issues relating to the authentication, integrity, and origin of electronic data. The features of advanced authentication technologies, in particular, qualified electronic signature, electronic seal, blockchain, digital watermarks, cryptographic hashes, and mechanisms for fixing the origin of content, were clarified. The specifics of the influence of generative content on the creation of fake documents, synthetic media, and disinformation campaigns were determined. The paper described the features of information analytics as an effective tool for identifying, evaluating, and minimising risks that are directly related to the use of generative content in electronic documents. It was proved that information and analytical methods allow for multi-level audit of data origin, metadata analysis, identification of signs of automated generation, and forecasting of threats to digital trust systems. It was proposed to consider information analytics as an integrative component of the contemporary electronic document authentication architecture, combining legal, technical, and organisational mechanisms for ensuring information protection in the context of digital changes. The practical significance of the study lies in the possibility of using the results to implement a comprehensive approach to data authentication in electronic document management systems. In addition, the proposed approaches to analysing the origin of content, metadata, and features of generative processing allow creating systems for monitoring and auditing electronic documents to detect falsifications, synthetic materials, and manipulative content

information protection; qualified electronic signature; metadata; artificial intelligence systems; standardisation, information analytics