SUSI: Efficient safety assessment through machine learning
The SUSI project is researching how security risk assessments that were previously carried out manually can be supported by software in order to make the previously time-consuming and cost-intensive manual risk assessment of industrial components more efficient. By using methods from the field of generative Artificial Intelligence (AI), the project automates security assessment processes and thus increases the efficiency of their implementation. The inclusion of standardised, public knowledge databases also aims to standardise the results. At inIT, the project is assigned to the "Interconnected Automation Systems" working group headed by inIT’s director Prof. Dr. Henning Trsek.
Presentation at "Inside it's OWL"
On 28 August 2024, the consortium presented the SUSI project as part of the "Inside it's OWL" lecture series, which offers insights into the network's current research and technology projects. The goals and innovative approach of SUSI were presented to a wide audience and met with great interest. The presentation is available online: YouTube link to the lecture.
Milestone meeting: Successful kick-off at Weidmüller in Paderborn
The first milestone meeting took place at Weidmüller in Paderborn on 4 September 2024. The project team presented the first promising results to the project sponsor and defined the next steps for implementation. This progress illustrates the enormous potential of SUSI to increase the efficiency and accuracy of safety risk assessments in industry.
An important contribution to industrial safety
Through automation and the use of AI, SUSI increases the efficiency and security of industrial risk assessments and supports companies in meeting growing security requirements. Together with the project partners, inIT is looking forward to the next steps in this pioneering project.