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Securing the future of remote work: Novel cyber threat mitigation strategies

The business environment has been greatly changed by the COVID-19 pandemic, accelerating the shift to remote work and increasing organizations' susceptibility to cyber threats. Conventional security approaches that concentrate on perimeter defense have been ineffective in addressing the challenges of remote work environments. This thesis examines new risk mitigation strategies for addressing cyber threats, focusing on implementation and effectiveness of zero-trust security frameworks. This study uses a mix of qualitative and quantitative research methods, including whitepapers analysis and expert questionnaires, to identify significant cybersecurity threats linked to remote work. It assesses the effectiveness of zero-trust principles and explores cybersecurity professionals' perception and understanding. The results show that adopting a zero-trust framework greatly improves an organization's security posture by implementing stringent access controls and continuous monitoring, reducing risks like breaches, phishing attacks, and other cyber threats. Furthermore, the research emphasizes the difficulties of zero-trust architectures implementation, such as the required cultural shifts within organizations and technical requirements.

Author: Jana Kudinova

Supervisor: Mihails Savrasovs

Degree: Master

Year: 2024

Work Language: English

The automated business processes integration and their impact on SMEs in Latvia

This thesis investigates the integration of automated business processes within SMEs (small and medium-sized enterprises) in Latvia's fintech sector, focusing on identifying specific challenges and opportunities. It emphasizes the role of automation in enhancing operational efficiency and enabling SMEs to allocate more resources to strategic and innovative tasks. The research has developed a conceptual framework and provides practical recommendations to assist SMEs in effectively integrating automated processes. The first chapter reviews digital transformation (DT) and business process automation (BPA), including robotic process automation (RPA). The next chapters focus on the survey and interview analysis using the Analytic Hierarchy Process (AHP) and Domain Mapping Matrix (DMM) methods. The fourth chapter presents a business case for integrating BPA in SMEs with examples and discussions on implications. Chapter five introduces a framework for future BPA initiatives and offers practical recommendations for companies integrating BPA.Key findings indicate that while automation offers substantial efficiency and cost-reduction benefits, its practical implementation requires carefully crafted strategies tailored to SMEs' needs.

Author: Jevgeņija Fatunova

Supervisor: Soltani Mohammad

Degree: Master

Year: 2024

Work Language: English

INFORMATION SYSTEM FRAMEWORK FOR EU SUSTAINABILITY REPORTING

ABSTRACTMaster's thesis „Information system framework for sustainability reporting”. Author of the paper: Sanita Bringmane. Scientific supervisor: Professor. Dr. Habil.sc.ing. Igors Kabaskins.The purpose of the Master thesis is to provide a framework for a sustainability reporting system that helps entities manage the ESG reporting system development process and help organizations navigate the complexity of ESG reporting. The Master thesis consists of four parts, the first part includes a summary of the requirements of the ESG standards and detailed information on the report and the main three pillars of sustainability: Environment, Social, and Governance reporting information and structure. A brief overview of the reporting information systems follows and reporting system use case, sustainability ecosystem, framework, and reporting system architecture. There are road map for the implementation of a sustainability reporting system included and at the end of the work a brief case study review of sustainability reporting for a company, and a conclusion as a final part of the work.

Author: Sanita Bringmane

Supervisor: Igors Kabaškins

Degree: Master

Year: 2024

Work Language: English

Personal Information Management using Adaptive Information Systems

Nowadays people struggle to handle their personal information in an organized and efficient manner. In average individual consumes around 74Gb per day (Heim, 2017), which contributes to to information overload and limits the amount of information that the human mind can handle.Due to human uniqueness, all people have different information preferences. Adaptive Information Systems (AIS) is a relatively new direction of research on the crossroads of Information Science, Human-Computer Interaction and Artificial Intelligence. It is an alternative to the traditional "one-size-fits-all" approach in the development of Information Systems. Considering that Information overload is a user-personal problem, AIS allow involve an adaption process inside the information system activate reinforcement learning for building knowledge about the user’s behavior in information processing. As a next step collected knowledge AIS is used for performing self-adaptive changes inside the system with the final goal of reducing information overload.This study proposed a new way of handling and control information overload by using AIS, which is supposed to consider and adapt to user's personal experience in personal information processing.

Author: Sergejs Paškovskis

Supervisor: Boriss Mišņevs

Degree: Master

Year: 2024

Work Language: English

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