Autonomous Machines
Trusted Autonomous Systems
Safety, provenance, and runtime attestation for robotics, drones, and self-driving systems.
Safety‑critical autonomy needs trust
Autonomous machines operate in complex, dynamic environments where sensor fidelity, decision integrity, and execution traceability are essential for safety. From self‑driving vehicles to industrial robotics and drones, every step of the autonomy stack must be verifiable.
Perception integrity for cameras, LiDAR, radar, and IMU
Runtime attestation and tamper detection across the autonomy stack
Audit trails for planning, control actions, and incident investigation
Operational Safety
Verified perception, planning, and control
for autonomous operation
Technical Approach
Hardware & Edge Attestation
Trusted Platform Modules
Edge devices attest boot chain and firmware state; sensor outputs are signed at capture to prevent spoofing.
Real‑time Verification
Runtime attestations and rolling signatures provide continuous provenance of perception and control outputs.
Telemetry & Decision Records
Sensor Provenance
Hash chains of raw and fused sensor frames enable rollback and incident analysis.
Decision Logs
Signed records of planning and control actions with timestamps and environment context.
Regulatory & Standards Compliance
Aligned with key automotive, robotics, and cybersecurity standards for safe deployment at scale.
ISO 26262
Functional safety for road vehicles
ISO/SAE 21434
Road vehicle cybersecurity engineering
UNECE R155
Cybersecurity management systems (CSMS)
UNECE R156
Software update management systems (SUMS)
Join the Autonomous Systems Working Group
Help develop the future of trusted autonomy by joining our specialized working group. We're seeking input from robotics companies, automotive OEMs, Tier‑1 suppliers, and regulators.