Technical standards and regulatory frameworks drive risk reduction across industrial, humanoid, general-purpose, and other robotic systems. Functional safety remains foundational, complemented by approaches to AI safety and the safety of intended functionality in increasingly autonomous and perception-driven systems. SRES helps robot developers and the organizations integrating and deploying their products establish safety programs grounded in the system’s intended use, operating environment, and interaction with people.
SecuRESafe (SRES) experts have decades of hands-on experience developing, consulting on, and independently assessing complex, software-dominant safety-critical systems to meet the highest Safety Integrity Levels (SILs) under IEC 61508. Our work spans traditional industrial automation as well as mobile, autonomous delivery, and human-interactive robotic platforms.
As industrial systems evolve beyond fixed, fenced automation, functional safety concepts must be applied to robots operating in shared environments that respond dynamically to human presence. We help teams interpret and apply established functional safety principles in contexts where stability, controlled shutdown, and safe behavior under fault conditions are essential.
Our consulting experience directly informs the professional training we deliver. Our Physical AI training offerings include IEC 61508 Functional Safety Training, ISO/IEC TS 22440 Functional Safety and AI Systems Training, IEC 61508 Software Development Training, EU Cyber Resilience Act Training, and Responsible AI Training covering ISO/IEC 42001 and EN 18286 in the context of EU AI Act requirements.
In addition to public training programs, we offer private and customized training for robot developers, equipment safety teams, production engineers, and site personnel. Instructor-led sessions combine tailored content and discussion focused on the organization’s technologies, operating environments, and specific development or deployment challenges.
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The second article in our EU AI Act series builds on Part 1: Risk Levels and Structure, which introduces the Act’s risk-based approach and provides
Autonomous robots can create dangerous behavior even when their hardware and software operate as designed. Jody Nelson explains how SOTIF principles, STPA, ODD definition, scenario discovery, and FI2TC analysis can help address this gap.
Celebrate 3 years of SRES with co-founder reflections, upcoming functional and AI safety training, and insights on robotics and cybersecurity.
We’re here to provide the guidance and support you need to navigate the complexities of engineering with responsibility and safety at the forefront.
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