Capabilities
Embedded & Edge Cybersecurity Engineering
Embedded cybersecurity is the set of architectural controls that let a connected device be trusted for its whole service life: threat modelling, secure boot on a hardware root of trust, device identity and key storage, signed updates, encrypted data and models, runtime hardening, monitoring and recovery. RETONAI designs these controls into edge AI retrofits and new devices from the first architecture decision.
Security designed in, not bolted on
A retrofit turns isolated equipment into a connected device, and a connected device is a target. Security controls added after deployment tend to be partial, expensive and fragile. We treat security as an architecture property that shapes interfaces, compute, firmware, models, updates and fleet operations, and we verify it before build sign-off and again after every change.
Threat modelling and attack-surface analysis
A structured threat review of hardware, firmware, data and network paths identifies assets, trust boundaries and realistic attack paths during design. The output is a written threat model that the design is reviewed against and that is revisited whenever the architecture or deployment context changes. Attack-surface analysis then limits exposed ports, protocols and physical interfaces to what the application needs.
Secure boot and hardware root of trust
Where the compute platform provides it, a hardware root of trust anchors verified boot so the device only starts software it can verify. On platforms without one, we state the residual risk rather than claim a control that does not exist. Boot-chain validation is tested on the target hardware and re-run on every bootloader or hardware change.
Device identity and secure key storage
Each device carries a unique identity and protected key material from provisioning onward, so a cloned or impersonated unit cannot join the fleet or receive updates. Key rotation and revocation procedures are defined for the life of the fleet and audited before rollout.
Firmware integrity and signed OTA
Firmware and model packages are cryptographically signed and verified before installation, with rejection tests run using deliberately invalid packages. The update pipeline and signing keys are maintained for the life of the programme. The mechanics are described under embedded firmware and edge platforms.
Communications, data and AI model protection
Sensor data, model weights and local communications are encrypted at rest and in transit, and the data flow is reviewed so that only what genuinely needs to leave the device does. On-device inference is itself a privacy control: raw video or audio can stay on site while only approved events are transmitted.
Runtime hardening
Software runs with the minimum access it needs: least-privilege execution, isolated workloads in firmware and runtime, configuration review and privilege-escalation testing. The hardening baseline is reapplied after every runtime or model update.
Monitoring, recovery and lifecycle security
Runtime monitoring detects abnormal behaviour and preserves evidence; a fallback path restores the last known-good state after a failed update or a compromise. Components and dependencies are tracked against vulnerability disclosures and end-of-life dates on a fixed schedule, so the fleet does not accumulate unpatched risk.
Cyber-physical anomaly detection
In industrial settings, network activity can be correlated with sensor and controller behaviour to surface suspicious commands and emerging equipment risk. This is an active RETONAI research direction, described on the Technology page; it is not a shipped product and is labelled accordingly.
What we do not claim
We do not hold or imply security certifications, and we do not describe a system as secure in the abstract. We describe the controls applied, how each was verified, and what remains as residual risk. Where a programme needs a formal standard, that is scoped explicitly. The full retrofit programme is described under edge AI retrofit.
Related capabilities
Edge AI retrofit · Embedded AI engineering · AI hardware and electronics R&D · Embedded firmware and edge platforms · High-speed PCB and product engineering · All capabilities · How the edge stack works
Frequently asked questions
What is embedded cybersecurity?
The architecture and engineering controls that let a connected device be trusted through its service life: threat modelling, secure boot, device identity and key storage, signed updates, encryption of data and models, runtime hardening, monitoring, recovery and lifecycle tracking.
Does adding AI to existing equipment increase security risk?
It changes the risk. Connecting isolated equipment creates new attack paths, which is why the controls are designed in from the start. Done properly, a retrofit can leave a system more observable and more recoverable than it was.
What is a hardware root of trust?
A component in the processor or a companion chip that stores keys and verifies the first stage of boot so it cannot be altered by software. It anchors secure boot and device identity. Where the platform lacks one, we say so and design for the residual risk.
How is a fielded device recovered after a compromise or a failed update?
Through monitoring that detects the abnormal state and a fallback boot path that restores the last known-good firmware and model, tested with fault injection before rollout.
Bring us the threat model, or let us write it.
Tell us what the device connects to and what it protects. We will tell you which controls apply and what remains as risk.
Review a device threat model →Your next breakthrough may already be installed.
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