Cybersecurity for robot-assisted surgery and telesurgery platforms.
Surgical robots are large, networked control systems running real-time software in an OR environment. Cyber faults can disrupt a procedure mid-case. We model the OR network, harden console-to-arm control paths, and run authenticated pen tests against vision, control, and service interfaces.
Surgical robots are networked, sensor-rich, and operate in cyber-physical real time. They live on hospital networks alongside imaging, navigation, and EHR systems - and rely on vendor remote-service tunnels that are often the riskiest interface in the product.
FDA reviewers and hospital biomed teams now expect segmentation diagrams, service-tunnel threat models, and forensic-readiness evidence as part of the cybersecurity package.
Typical clinical uses
Key data flows & integrations
Robotic systems often share VLANs with imaging and EHR - lateral movement from a compromised endpoint must be modeled.
Vendor remote-service tunnels need MFA, jump-host isolation, and full session logging.
Control messages between console and arms need integrity protection without breaking deterministic timing.
Surgical robots are networked, sensor-rich, and operate in cyber-physical real time - latency-sensitive and high-consequence under any compromise.
Vendor-managed remote service is often the riskiest path in - it must be modeled, segmented, and logged like a production interface.
Hospitals can't take robots offline easily; secure update mechanisms have to be robust, fast, and roll-back-safe.
Imaging and EHR feeds are commonly trusted by default - your threat model must treat them as untrusted inputs.
Robots typically combine RTOS, embedded Linux, and Windows in one product - SBOM and patching strategy must cover all three.
What FDA scrutinizes
Vendor remote service is usually the highest-risk interface - reviewers want it modeled, segmented, MFA-enforced, and logged.
Motion-command tampering requires explicit safety + cyber analysis, including fail-safe behavior under signal loss.
Most robots combine RTOS, embedded Linux, and Windows in one product - SBOM and patching strategy must cover all three.
Yes - we routinely test against staging units, lab benches, and digital twins, with on-site testing reserved for hardware-specific interfaces.
We model the robot, console, vision tower, and any imaging or EHR integrations as a sub-network with explicit trust boundaries - and document segmentation assumptions reviewers can verify.
These are a frequent FDA review concern. We document MFA, jump-host isolation, session recording, and least-privilege scoping - and pen-test the path end-to-end.
Yes, with constraints: we exercise control messages for integrity and replay handling on staging hardware, never on a clinical system, and coordinate with your safety/risk team.
Each is treated as a SBOM component with its own threat boundary; we review vendor SBOMs, integration code, and the data path between modules.
Typically FDA 2026 premarket guidance, AAMI SW96, IEC 62304, IEC 60601-1 (and applicable -2-x), and IEC 81001-5-1 for the software lifecycle.
Network-segmented test plans, video/control plane assessment, and SBOM management for complex robotic platforms.
"Blue Goat Cyber's depth of expertise was impressive. We had no in-house cybersecurity experience, and their team guided us through every step of the FDA process. The penetration testing and SBOM testing were thorough and gave us complete confidence."
Cybersecurity for robot-assisted surgery and telesurgery platforms.
