Research & innovation

Applied research designed to survive technical scrutiny.

CyberAI structures research around explicit assumptions, reproducible implementation, measurable evidence and a realistic path from prototype to pilot.

Threat modellingExperimental designPrototype engineeringPilot evidence
CyberAI research evidence system
Research principles

The paper, prototype and pilot must tell the same technical story.

A result is useful only when its boundary, implementation path and evidence can be examined by researchers, partners and deployment teams.

01

Explicit boundaries

Claims are limited to the data, system assumptions, threat model and validation conditions actually examined.

02

Reproducible mechanisms

Implementation settings, baselines, evaluation logic and artefact lineage are documented clearly.

03

Deployment-aware evidence

The research question is connected to operational constraints, integration points and pilot decisions.

Research workflow

From question to auditable outcome.

The workflow is intentionally conservative: evidence quality is prioritised over inflated technical readiness.

01

Question & threat model

Define the mechanism, attacker capability, protected asset and success criterion.

Scope recorded
02

Data & implementation

Establish data lineage, preprocessing, model configuration and reproducibility controls.

Artefacts linked
03

Evaluation

Compare against meaningful baselines, report uncertainty and document failure cases.

Evidence checked
04

Translation

Map the validated result to a prototype, work package or pilot decision—without overstating readiness.

Readiness stated
Evidence matrix

Research themes with a clear validation target.

The table is a structural model for CyberAI’s R&D portfolio; it does not imply that every theme is already funded or productised.

Research themePrimary evidenceOutputStatus logic
Secure AI lifecycleRobustness, provenance, leakageValidated moduleResearch track
Cloud–edge threat fabricWorkload + gateway telemetryTechnical prototypeConsortium ready
SME cyber resilienceUsability + incident evidencePilot toolkitConcept development
Connected asset integrityBehaviour + operational stateDetection componentResearch track
Research collaboration

Need a defensible research and validation work package?

CyberAI can help structure the question, prototype, evidence chain and pilot boundary for collaborative R&D.

Discuss an R&D track