We will integrate multiple open datasets related to software and hardware vulnerabilities, weaknesses, and cyber-attacks. We will use these datasets to develop machine learning models unifying different conditions and actors that jeopardize the security of ICS/OT systems. These models can be used to recommend possible mitigation approaches for any weaknesses, thus enabling various stakeholders (e.g., designers, manufacturers, vendors) to maintain secure ICS/OT systems.