Skip to content

Emerging Technology

We help you adopt new technology — AI systems, connected devices, novel platforms — with the security questions answered before rollout, not after.

Get in touch

Why new technology needs an early security read

Adoption that's already happening

Teams start using new tools whether or not there's a policy. We'd rather help you write a sensible one early than go looking for shadow deployments later.

Risks your existing controls don't cover

Model prompt handling, device firmware, and third-party APIs don't map neatly onto controls designed for servers and laptops. We work out which of your controls apply and what genuinely needs building.

Vendors making claims you can't verify

New-category vendors are long on capability and short on security detail. We put the technical questions to them, read the answers properly, and tell you what the contract needs to say.

Data leaving in unfamiliar ways

New platforms create new paths for information to travel, often to a processor you hadn't considered. We trace where data goes before you commit, so the privacy work isn't retrofitted.

Pilots that quietly become production

A proof of concept turns into a dependency without ever passing a review. We define what a pilot must satisfy before it carries real data, and again before it carries customers.

We give you a clear security read on new technology while you're still deciding, not after it's embedded in the business.

Emerging technology arrives faster than the guidance around it. Our role is to be the informed second opinion: we assess what a new platform, model, or device class actually changes about your risk, help you pilot it under sensible constraints, and set the standards it has to meet before wider rollout.

Services provided

Technology evaluation

We assess a specific tool or platform against your environment: what it accesses, what it stores, how it authenticates, and what happens when it fails. The output is a recommendation with reasoning.

AI and automation review

We look at how models are prompted, what data reaches them, where outputs are trusted, and which decisions still need a person. Then we set usage guidance your teams can follow.

Connected device assessment

We examine device provisioning, firmware update paths, network placement, and the backend they report to, because a device fleet's weakest point is usually the part nobody planned to maintain.

Vendor security due diligence

We put structured technical questions to the vendor, review what comes back against their claims, and translate the result into contract terms and conditions of use you can hold them to.

Pilot design and controls

We define the boundaries a trial runs inside: which data it may touch, who has access, how it's monitored, and the criteria that decide whether it graduates or gets switched off.

Standards and internal guidance

We write the internal policy for a technology class once, in language your staff will read, so the next team adopting it starts from a decision rather than from scratch.

Where we add value on new technology

We're neither the vendor's advocate nor reflexively against the new thing. Our opinion comes with its reasoning shown, so you can weigh risk against opportunity and decide with your eyes open. You'll come away with:

  • A technical read on new tools before they carry real data
  • Usage guidance for AI systems that your teams will actually follow
  • Vendor questions asked properly, with the answers checked
  • Pilot boundaries and exit criteria agreed before the trial starts
  • Written standards so the next adopting team isn't starting over
We wanted to put a language model in front of customer records. The review didn't say no; it said what had to be true first, which was far more useful.
Director of Innovation, retail group
IDNotion consultants at work

Ready to get started?

Tell us what you're building or protecting, and we'll tell you where we would start.