Why IoT security is different

Most IoT compromise is identity, not exploit.

In enterprise IT, security debates focus on exploits. In IoT, the more common failure mode is identity: devices that authenticate weakly, share credentials across a fleet, ship with material that should never have left manufacturing, or talk to back-ends that cannot tell two devices apart. AmbiSecure builds for the case where identity is the security surface — and where physical access for remediation is impractical.

  • Per-device identity grounded in hardware, not in firmware constants
  • Authentication that survives operator and cloud transitions
  • Provisioning workflows that minimize "trusted handoff" surface
  • Behavior under degraded or absent connectivity
FAILURE MODES WE DESIGN AGAINST
Shared credentials across a fleet
Identity stored in firmware constants
Cloud back-end can't tell two devices apart
Provisioning surface trusted by default
Manufacturing → field credential leakage
Capability areas

What we work on

ID

Device identity

Per-device, hardware-backed identity issued under controlled conditions and verifiable across the device's full lifecycle.

PR

Secure provisioning

Workflows that minimize the trusted set during initial provisioning and re-provisioning, with attention to the manufacturing-to-field handoff.

AU

Authentication

Mutual authentication patterns between device, operator network, and back-end services, with key custody anchored in the Secure Element.

LC

Lifecycle

Identity continuity across firmware updates, ownership transfer, decommissioning, and field replacement events.

OF

Offline tolerance

Trust patterns for low-connectivity or intermittently connected devices — assertions that work without phoning home for every check.

SC

Scale

Architecture that holds up across fleets of millions, where per-device manual handling is not an option.

Trust model

A canonical IoT trust chain

Simplified, but representative of how we structure trust for connected devices. Each link is verifiable, and no link silently delegates upward.

Silicon RoT

Immutable hardware base.

Secure Element / eUICC

Identity, key custody, attestation.

Firmware

Secure boot, signed updates.

Operator network

Sandbox / production-ready.

Enterprise / cloud

Identity-aware services.

Use cases

Where this fits in practice

Industrial

Sensors, gateways, controllers — long-lifetime hardware where remediation is expensive.

Metering

Energy and water metering with tamper-evident identity over decades.

Mobility

Vehicles and telematics needing secure identity across operator footprints.

Healthcare IoT

Devices where identity binds to regulatory traceability requirements.

Have a fleet identity problem worth a structured conversation?

We work best with teams that already understand the cost of getting identity wrong at scale.

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Frequently asked questions

What is IoT security in the identity sense?

In IoT, the dominant security surface is identity, not exploit — whether each device can prove which device it is, and whether a back-end can tell two devices apart. AmbiSecure treats IoT security as the problem of giving every device in a fleet a hardware-anchored identity that holds across its full lifecycle.

How is per-device identity kept unique across a large fleet?

Each identity is grounded in hardware — a key generated inside, and non-exportable from, the Secure Element or eUICC — rather than in firmware constants that can be copied across a fleet. Provisioning issues one identity per unit under controlled conditions.

What happens to authentication when a device loses connectivity?

Trust degrades by design, not by accident. Short-lived credentials, cached attestation, and monotonic counters let a device make verifiable assertions without contacting a server for every check.

Where is the greatest risk during device provisioning?

The trusted handoff. AmbiSecure structures manufacturing-time injection and re-provisioning to minimise the set of parties trusted during onboarding, with particular attention to the manufacturing-to-field boundary.

Does hardware-backed identity make sense for low-cost IoT?

Where a device authenticates to anything of value it is proportionate: the cost is a small secure element, and the alternative — shared or firmware-stored credentials — tends to fail across the whole fleet at once.