Advancing Cybersecurity Research and Education in Europe

Advancing Cybersecurity Research and Education in Europe: Major Drivers of Growth in the Digital Landscape explores the important role of cybersecurity research and education in enhancing cybersecurity. The paper provides an overview of cybersecurity challenges, explores its multifaceted and multidisciplinary nature, and covers some emergent trends generating new privacy and security concerns. The paper discusses approaches to addressing those challenges through strategic investments in cybersecurity research and development, strengthening the education and workforce pipelines, and improving the integration of ethics and professional responsibility throughout the cybersecurity landscape. The paper identifies twelve guiding principles for public policies to advance cybersecurity research, education, and workforce development.

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At Leidos, we take responsibility for improving the quality of life of our employees, their families and the communities in which we live and work. Our commitment extends beyond the contributions we make to solve difficult problems through science and technology.

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AI Act: Risk Classification of AI Systems from a Practical Perspective

whitePaper | March 22, 2023

Artificial intelligence is increasingly becoming a part of our everyday lives, whether at home, in industry or in the public sector. The technology poses risks, but also opens up new opportunities. This presents the institutions in Brussels with the challenge of finding a balance between innovation and regulation for AI in the EU.

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The use of Artificial Intelligence to Combat Public Sector Fraud

whitePaper | February 21, 2020

The information contained in the International Public Sector Fraud Forum documentation and training is subject to Crown Copyright 2020. The information should not be published or distributed in any way that could undermine the values and aims of the International Public Sector Fraud Forum. This content consists of material which has been developed and approved by the International Public Sector Fraud Forum.

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API Design Best Practices

whitePaper | August 25, 2022

The document focuses on the best practices to consider for API design by breaking it into its basic building blocks. Along with each recommendation the document also describes the reason and impact of a certain design decision through scenarios. The document provides recommendations on object representations, usage of headers and URL/URI templates to consider.

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A PERSPECTIVE ON IT COST MANAGEMENT

whitePaper | August 10, 2020

2020 has posed significant, unexpected challenges to the world – and to IT departments in most organizations. Work practices have shifted rapidly and, given the volatile economic climate, many organizations are looking to protect against uncertainty and ensure business continuity by implementing cost savings initiatives. As an IT leader, you and your team are uniquely positioned to deliver added value to the organization by leveraging Technology Intelligence data to find these additional cost savings opportunities.

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MongoDB and IBM zSystems

whitePaper | May 25, 2022

Modernization of data and applications on the mainframe is a necessary priority for modern organizations. Building a MongoDB Operational Data Layer (ODL) is a pattern widely used to make critical mainframe data available for modern mobile and web applications.

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An Overview of AI Music Generation and its Potential

whitePaper | July 15, 2022

Today, the use cases for AI (artificial intelligence) and machine learning are developing at a remarkable pace. We are beginning to see cases where AI is contributing to society through its implementation in systems and services that are in production and consumer-facing. These include the automation of nuanced decisions that until now could only be made by humans, thereby increasing the profitability of corporations, and increasing customer satisfaction through the personalization of services making them tailored for each user. In addition, important discussions have begun on the adverse effects such AI systems have on humans and the resulting ethical issues they can create.

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Leidos

At Leidos, we take responsibility for improving the quality of life of our employees, their families and the communities in which we live and work. Our commitment extends beyond the contributions we make to solve difficult problems through science and technology.

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