AI in Transport & Autonomy
Case Study: Validating safety, security, and operational resilience for autonomous driving systems and complex logistics AI.
We specialize in third-party assurance for high-risk autonomous AI, ensuring compliance with global safety standards (e.g., ISO 26262, ISO 21448 SOTIF) and meeting the strict robustness mandates of the EU AI Act.
Focus on Systemic Transport Risk (ISO/IEC 42001 Annex C)
Safety & System Integrity (C.2.9)
Mitigating immediate threats to human life and property caused by AI failures. This includes validating AI decision-making against hardware errors and sensor defects (C.3.5).
Robustness & Complexity (C.2.8, C.3.1)
Rigorous testing of AI performance in complex, dynamic environments to guarantee reliability when data patterns shift (data drift) or during hardware transfer.
Transparency & Accountability (C.2.1)
Establishing clear accountability for automated decisions. Auditing explainability (C.2.11) to understand failure points during complex traffic events (e.g., accident reconstruction).
The Autonomous Safety Layer: Integrated Validation
Our validation framework unifies AI Management (ISO 42001) with mandatory functional safety standards specific to automotive and rail sectors.
Functional Safety (ISO 26262)
Verification of software and hardware safety requirements (ASIL levels) across the AI stack, ensuring fault tolerance and mitigation of systematic failures.
Safety of the Intended Functionality (SOTIF)
Rigorous testing against ISO 21448 to ensure the AI's intended function is safe, even in unforeseen or unknown operational scenarios (e.g., misinterpretation of road markings).
Cybersecurity & UNECE Compliance
Validating resilience against remote manipulation, adhering to UNECE R155 (Cyber Security Management System) and NIS 2 directives for critical transport infrastructure.
Validated Autonomy Outcomes
Safety Integrity Secured
Achieved full compliance with ISO 26262 and SOTIF technical documentation requirements.
Regulatory Approval Readiness
Provided comprehensive evidence package for European type-approval and road deployment authorizations.
Robust Operational Domain
Validated AI performance across the full Operational Design Domain (ODD) under real-world stress conditions.