Our goal is to demonstrate design assurance of complex safety critical systems in compliance with regulations, in particular when using new technologies. ROSAS supports the development of aviation systems by assessing and mitigating safety critical risks in applying measures and procedures to verify safety and associated reliability and security requirements.
The current shifts in commercial aviation, towards a CO2-neutral footprint with a concurrent significant increase in global mobility, require increasingly complex technologies. The identification and limitation of the associated risks require enormous efforts in order to achieve a social and technical level of acceptance, and Functional Safety Engineering methods are key to accomplish it:
In compliance with:
The drone market will grow exponentially over the next few years, especially the number of commercial UAV (drones). This will be associated with a corresponding increase in the risk of accidents caused by their operation, i.e. in addition to the functional safety of drones, it is key to minimize risks associated with their operation.
As of January 2021, the EU has standardized regulations for UAV, beyond the already existing SORA requirements, and ROSAS is prepared to support with its acknowledged competencies.
Upcoming Cybersecurity Standards and Regulations require the consideration of cyber security aspects of complex, connected systems to ensure their secure operation. ROSAS supports its clients in consulting its clients to increase the awareness and skills to cope with industrial networks (Operational Technology) and information networks (Industrial Technology) associated threats:
OT Security: ISA/IEC62443, NIST800-82
IT Security: ISO27K series, NIST-CSF
Automotive Security: ISO/SAE21434, SAE J3061
Reliability and model-based engineering
Because systems are becoming increasingly complex, it is becoming increasingly important to prove their reliability. Previous practices are no longer sufficient in this respect. Model-based development, simulation-based verification, the creation of digital twins and the support of algorithms make it possible to optimize the life cycle of systems and the feedback into the system design.
The Model-Based Engineering MBE method, developed at ROSAS, is the ideal solution to realize this approach.