This document presents the analysis carried out as part of NEXUS deliverable D1.2 ‘Identification of regulations, policies and classification of software and related practices’. The main aim of this deliverable is to identify regulations, guidelines and policies as well as commercial software and relevant practices. More specifically, this aim will be tackled by detecting recent regulations applied in Service Operation Vessels (SOVs), guidelines, standardisation methods and practices provided mainly by reputable regulatory bodies. This deliverable examines extensively cybersecurity issues and antiterror safeguards, identifies examples of certificates, rules and regulation for a typical windfarm SOV in the UK and analyses guidelines as part risk assessment and issue management. The deliverable initiates by clarifying the level of autonomy as presented by the latest report of IMO demonstrating the analysis of regulatory barriers to the use of autonomous ships. These levels stand for Manual navigation with automated processes and decision support (M), Remote-controlled vessel with crew on board (R), Remote-controlled vessel without crew on board (RU) and Autonomous vessel (A). As part of the cybersecurity, common denominators for guidelines as well as weaknesses and threats of increased autonomy have been extensively demonstrated. Latest ISO27000 series for crucial aspects of information management, ISO50001 “Energy management”, ISO14000 “Environment management” and ISO9001 “Quality management” have been examined. The MGN515 (M) and MGN516 (M) have been examined as published by the latest Maritime & Coastguard Agency (MCA) reports. MGN515 (M) provides guidance on the application of the IMO Special Purpose Ships Code to UK ships, and to those that are non-UK ships operating from UK ports and/or in UK waters in the offshore sector, including the use of alternative and equivalent IMO codes and guidelines. On the other hand, MGN516 (M) refers to ship construction and equipment use and application of IMO codes and guidelines for offshore vessels. Additionally, various novel and recently developed O&M software tools have been presented listing NOWIcob by SINTEF, University of Stavanger (UiS) offshore wind simulation model maintenance organisations and strategies and as a decision tool for offshore wind farm developers in the NORCOWE research centre, ECUME model developed by EDF R&D to be used internally to support the group’s activities in the offshore wind industry, Strathclyde University, Strath AM02 O&M modelling tool, ECN O&M Tool and O2M (ex. Garrad Hassan) O&M tool. On the other hand, different decision making tools and methodologies have been assessed such Analytical Hierarchy Process (AHP), MRA and MRA-DSS among others. The present work concludes summarising research findings and future work recommendations as well as experts’ concerns on the field.