Anti-corruption declaration is a minimum universal standard implemented by states taking into account national circumstances. Foreign declaration models differ in the range of obligated persons, the degree of publicity of information, and the types of liability for violations. The declaration procedure, amended in Russia in 2026, shifted from formal annual reporting to risk areas (personnel decisions and property transactions). The automated platform provides real-time monitoring based on objective data from tax, banking, and registry sources, enabling the prompt identification of anomalies, hidden assets, and discrepancies between officials' income and expenses. Algorithmic verification minimizes subjectivity, errors, and deliberate concealment of information typical of traditional declarations. The author has formulated a mathematical justification for the conclusion that the reduction of corruption risks directly depends on the level of automation and the reduction of the subjective component in anti-corruption control. The transition from traditional declarations to a fully automated, risk-oriented control system (using Poseidon as an example) is not just a technological modernization, but a fundamental shift in the philosophy of anti-corruption policy: from subjective, ethically oriented mechanisms to objective data and algorithms.