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Without the use of IT, our everyday life and our supply of goods and services would no longer be conceivable. However, cybercrime, misuse of values and rights, lack of evidence, etc. reveal equally weighty downsides. On the one hand, companies and organizations are expected to ensure information security and compliance with laws and regulations. On the other hand, implementation in digital processes is highly complex. The organizational structures from the pre-digitization era are not suitable for this. How can information security and compliance be implemented in an economically appropriate, practical and future-proof manner? The prerequisite is to be able to organize and precisely control IT deployment in the respective area of operation in a holistic manner. The following aspects, among others, are highlighted: - Ongoing consistency of technical and organizational processes - Availability, confidentiality, authenticity and integrity of digital content - Up-to-date and evidence-based documentation of processes (procedural documentation) An answer to the specific HOW can be found in the VOI PK-DML, the guide and audit framework for information security and compliance that has been continuously developed and proven in practice for 20 years: - Suitable for all company sizes - Quickly identify vulnerabilities and inconsistencies - Applicable internationally - Basic coverage of all information security requirements The VOI PK-DML are a guide by practitioners for practitioners. You can get started immediately and achieve great benefits with little effort.
When it comes to computer security, the role of auditors today has never been more crucial. Auditors must ensure that all computers, in particular those dealing with e-business, are secure. The only source for information on the combined areas of computer audit, control, and security, the IT Audit, Control, and Security describes the types of internal controls, security, and integrity procedures that management must build into its automated systems. This very timely book provides auditors with the guidance they need to ensure that their systems are secure from both internal and external threats.
This section discusses IT audit cybersecurity and privacy control activities from two focus areas. First is focus on some of the many cybersecurity and privacy concerns that auditors should consider in their reviews of IT-based systems and processes. Second focus area includes IT Audit internal procedures. IT audit functions sometimes fail to implement appropriate security and privacy protection controls over their own IT audit processes, such as audit evidence materials, IT audit workpapers, auditor laptop computer resources, and many others. Although every audit department is different, this section suggests best practices for an IT audit function and concludes with a discussion on the payment card industry data security standard data security standards (PCI-DSS), a guideline that has been developed by major credit card companies to help enterprises that process card payments prevent credit card fraud and to provide some protection from various credit security vulnerabilities and threats. IT auditors should understand the high-level key elements of this standard and incorporate it in their review where appropriate.
This volume constitutes the refereed proceedings of the 23rd EuroSPI conference, held in Graz, Austria, in September 2016.The 15 revised full papers presented together with 14 selected key notes and workshop papers were carefully reviewed and selected from 51 submissions. They are organized in topical sections on SPI and the ISO/IEC 29110 standard; communication and team issues in SPI; SPI and assessment; SPI in secure and safety critical environments; SPI initiatives; GamifySPI; functional safety; supporting innovation and improvement.
This book constitutes the refereed proceedings of the 5th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2016, held in Porto, Portugal, in September 2016, in conjunction with DEXA 2015. The 22 revised full papers presented together with three invited talk were carefully reviewed and selected from 27 submissions. The papers are organized in the following topical sections: e-government cases - legal issues; e-government cases - technical issues; open data and transparency; knowledge representation and modeling in e-government; intelligent systems in e-government; e-government research and intelligent systems; e-government data and knowledge management; identity management in e-government.
The dot-com revolution has brought many advances before unimagined. Of them all, it may be said that none have surpassed e-government in attracting a significant number of researchers and practitioners from around the world. However, the question remains whether everyone is ready to join the e-government movement, or if some are just blindly following the latest trend. Digital Solutions for Contemporary Democracy and Government touches on several key issues and challenges surrounding the recent e-government boom and offers practical solutions from those who have been a part of implementing e-government programs internationally. Due to its breadth of discussion on a variety of topics relating to the intersection of technology with politics, democracy, and government, this authoritative book is a valuable reference source for professionals, researchers, and students in the field of e-government, information management, or knowledge management.
The world of document management is evolving rapidly, and organizations are increasingly turning to Intelligent Document Processing (IDP) to streamline their document management processes. This comprehensive guide serves as a valuable resource for individuals and organizations embarking on their IDP journey. It offers a step-by-step approach, practical tips, and best practices to help readers successfully implement IDP and achieve significant improvements in efficiency, accuracy, and cost savings. In today's digital age, the volume and complexity of documents continue to grow exponentially, posing significant challenges for organizations across industries. Traditional manual document management processes are time-consuming, error-prone, and resource-intensive, leading to inefficiencies and missed opportunities. However, the advent of Intelligent Document Processing (IDP) presents a game-changing solution. Intelligent Document Processing combines the power of artificial intelligence, machine learning, and automation technologies to extract and process data from unstructured documents swiftly and accurately. By automating manual tasks, organizations can enhance productivity, improve data accuracy, and optimize their document management workflows. This guide serves as a roadmap for readers looking to harness the potential of IDP and transform their document management practices. The chapters of this guide take readers on a comprehensive journey through the world of IDP. It begins with an introduction to document management and the concept of Intelligent Document Processing. Readers will gain a clear understanding of the benefits and importance of implementing IDP in their organizations. The guide then delves into the key aspects of implementing IDP. It covers topics such as assessing document management needs, identifying document types and formats, analyzing document volume and complexity, and evaluating existing document management processes. These chapters provide practical insights, tips, and strategies to help readers assess their current state and identify areas for improvement. As the journey progresses, the guide dives into creating an IDP strategy, including setting clear goals and objectives, selecting the right IDP solution, and defining key performance indicators (KPIs). It emphasizes the importance of customization and adaptation to align with specific organizational needs and goals. The guide further explores preparing documents for IDP, including standardizing formats and layouts, optimizing image quality and resolution, and implementing document classification and indexing. It provides detailed guidance on leveraging intelligent capture technologies, extracting data from structured and unstructured documents, and validating and verifying extracted data. The chapters also cover crucial aspects such as integrating IDP with existing systems, monitoring and measuring IDP performance, change management, and user adoption. They address data security and compliance requirements, as well as provide real-world case studies and success stories to inspire and educate readers. Throughout the guide, readers will find tips, recommendations, and best practices from industry leaders who have successfully implemented IDP. These insights serve as valuable lessons learned and provide practical guidance for readers as they embark on their IDP journey. In conclusion, this comprehensive guide equips readers with the knowledge and tools needed to implement Intelligent Document Processing successfully. By following the chapters, tips, recommendations, and strategies outlined in this guide, organizations can streamline their document management processes, achieve significant improvements in efficiency and accuracy, and drive tangible business outcomes. The IDP journey begins here, offering endless possibilities for optimizing document management in the digital era.