George, AbrahamAbrahamGeorgeNewell, AnthonyAnthonyNewellPapakostas, NikolaosNikolaosPapakostas2022-01-192022-01-192019-09978-1-64368-008-8http://hdl.handle.net/10197/1274417th International Conference on Manufacturing Research (ICMR 2019), Belfast, United Kingdom, 10-12 September 2019Product data management along a product lifecycle is complicated due to a wide range of resources, stakeholders and technologies being involved. During the product development phase, complex information is exchanged among several engineering teams and legal entities. Product lifecycle management (PLM) systems streamline and control the product data shared with other engineering and manufacturing parties. In additive manufacturing (AM), however, as opposed to the conventional manufacturing (CM) data supply chain, the ease with which intellectual property (IP) can be compromised by theft or malicious attacks, creates a significant challenge. These attacks can lead to loss of revenue due to illegal counterfeiting, or even failure of mission-critical parts where design could be modified to a functionally impaired configuration. This paper outlines and reviews the current strategies and new approaches possible to secure IP in AM systems, comparing the advantages and disadvantages of these technologies.en© 2019. The definitive, peer reviewed and edited version of this Article is published in: Jin,Y., Price, M. (eds.) Volume 9: Advances in Manufacturing Technology XXXIII. ISBN: 978-1-64368-008-8. These details can be found on https://ebooks.iospress.nl.Manufacturing workflowBlockchain technologiesDesign for additive manufacturingAgent-based systemsBook Chapter10.3233/ATDE19004216/RC/3872https://creativecommons.org/licenses/by-nc-nd/3.0/ie/