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Industries

One set of capabilities, four very different floors

Regulation, systems and risk take a different shape in every sector. These are the four we work in most, and what tends to get fixed first.

01

Financial services

Banking · Insurance · Capital markets

Offensive testing · Identity governance · Data classification · Managed operations

What we find

Dense supervisory review and long system chains: one wrong data definition or entitlement becomes a compliance event — and the sector is a first-choice target for ransomware and fraud.

How we work it

Map overlapping regulations onto a single control set, tighten external exposure and identity entitlements first, push classification results into access and masking policy, then let managed operations absorb the 24/7 alert load.

02

Manufacturing

Automotive · Electronics · Equipment

OT assessment · Segmentation · Data integration · Predictive maintenance

What we find

IT and OT run as separate worlds, the line cannot stop, and any control that touches production gets vetoed. Quality and process data sits in silos, analysed by hand.

How we work it

Inventory industrial assets and protocols read-only first, then segment the network and govern policy inside windows that never touch the line. On the data side, start from equipment and MES feeds and build one definition for quality and process analytics.

03

Energy

Power · Petrochemical · Renewables

Privileged access · OT assessment · Incident response · Operational analytics

What we find

Critical-infrastructure obligations, dispersed sites and many remote maintenance paths — one intrusion can reach physical safety.

How we work it

Close the entrances first: remote access and privileged accounts, with dedicated assessment of the industrial environment and rehearsed response plans. On the data side, cross-site metrics and operational analytics give the group a true view of every site.

04

Technology

Platforms · SaaS · Gaming

DevSecOps · Cloud posture · Red teaming · AI security assessment

What we find

Fast releases, cloud-native estates and deep supply-chain dependencies mean security has to move at deployment speed — and data and models are the crown jewels.

How we work it

Shift security into CI/CD: code review, SCA and cloud baseline checks automated in the pipeline, with periodic red-team validation. On the AI side, evaluation sets and guardrails contain prompt injection, over-broad retrieval and content risk.

How we work together

The same capabilities, four ways to buy them. Most clients start with one assessment and decide the long-term shape afterwards.

01

Project delivery

A defined engagement with fixed scope and milestones — assessment, build or remediation — closed out on acceptance of the deliverables.

02

Embedded specialists

Engineers and consultants by the day or on long-term secondment, working inside your schedule and process while your own team ramps up.

03

Annual managed operations

Monitoring, triage and response bundled into an annual service, tiered by the estate under management, with an hours pool and agreed response times.

04

Product subscription or self-hosted

Platforms delivered as a SaaS subscription or a self-hosted licence, with entitlements and usage in one console and data that never has to leave your network.

Organisations we work with
IBMCiscoMicrosoftGoogle
and many more

Start with an assessment, then talk scope

Security, data and AI each start with a review of where you stand. The report and its findings are yours, whether or not the engagement continues.