cybersecurity

Abstract. The purpose of the article is to analyze the mechanisms of ensuring information security in
Ukraine, including legal, technical, organizational, preventive, control, and sanction components. Special
attention is paid to identifying the strengths and weaknesses of these mechanisms in the context of modern
information challenges.
The article identifies the main elements of information security mechanisms, their functions, and
interconnections. The legal mechanism provides a regulatory framework but contains outdated provisions

This article addresses secure information transmission using LoRa technology in peer-to-peer mode, without relying on LoRaWAN. Such communication is vital in areas lacking centralized network infrastructure, such as rural, remote, emergency, or combat situations, where confidential data must be exchanged over several kilometers. The study explores methods for secure data transmission with LoRa devices, focusing on improving efficiency by optimizing encoding for higher data rates within limited byte sizes.

The article examines the ways artificial intelligence is influencing the penetration testing procedure. As technology advances and cyber threats grow more com- mon, conventional testing methods are insufficient. Artificial intelligence aids in automating processes like vulnerability detection and real-world attack simulation, leading to quicker, more precise results with reduced dependence on human input. Machine learning is a game-changer in identifying hidden security flaws by analyzing past attacks and abnormal patterns.

The article presents possible strategies and approaches to address the growing cybersecurity threat landscape, new trends and innovations, such as artificial intelligence and machine learning for cyber threat detection and automation. The paper presents well-known machine learning classifiers for data classification. The dataset has been taken from a report by the Center for Strategic and International Studies. The presented model accuracy assessment study has been significant variation among algorithms based on different network intrusion detection systems.

The article investigates the integration of information security into Agile software development processes, focusing on the adaptation of DevSecOps methods. The goal was to enhance the implementation of security practices by reducing vulnerability detection time, simplifying the integration of security into the development cycle, and improving team collaboration. The analysis revealed that automation of security testing reduces vulnerability detection time by 40%, while cross-functional teams improve collaboration by 30%.

Nowadays, with the rapid development of modern technologies in software engineering, active digitalization, and the migration of many services online, ensuring the security of these services in terms of integrity, confidentiality, and availability of information has become more important than ever. The level of application security directly depends on investments made in security during software development.

This paper examines the Cyber Essentials requirements for ensuring basic security controls, which need to be implemented to protect against the most common cyber threats. Cyber Essentials is a foundational cybersecurity certification scheme developed by the UK government, which has been in operation since 2014 and under which more than 100,000 organizations have been certified.

The aim of this study is a comprehensive analysis of the fundamental SOAR (Security Orchestration, Automation, and Response) model in the context of cybersecurity for virtual networks. The paper presents a synthesis of the core concepts of orchestration, automation, and response, which are critical elements of modern approaches to risk management and information system protection.

The increasing complexity of cyber threats requires the development of effective methods for detecting and classifying attacks in network traffic. This study analyzes the effectiveness of three popular machine learning algorithms: Random Forest, which is used for anomaly detection, Support Vector Machines (SVM), which performs cyber threat classification, and autoencoders, which are used for data preprocessing and deep traffic analysis.

In the modern world, where information security becomes a key element of any organization's operations, software security testing automation is more important than ever. The success of an application directly depends on its stability, reliability, and security, which makes the proper implementation of control mechanisms critical. The increase in cyber threats and the growing complexity of software systems make this topic even more relevant.