AI Security
Assess and secure machine-learning models, LLM applications and AI agents against adversarial and data-driven attacks.
Clinical AI Governance
Adopt clinical AI with oversight built in
Govern AI used in clinical and operational decisions with validation, bias testing, human oversight and audit trails.
The problem
Why this matters
AI is entering triage, imaging, documentation and revenue-cycle workflows. Where it influences care or coverage, organisations must show it was validated on relevant populations, monitored for drift and bias, kept under clinician oversight and documented well enough to explain any individual decision.
Common challenges
- Models validated on populations unlike the organisation’s patients
- Limited visibility of AI embedded in vendor products
- Unclear accountability when AI informs a clinical decision
- Patient data exposure through generative AI tools
Our approach
How we work
-
Inventory AI use
Catalogue in-house and vendor AI and classify it by risk.
-
Set guardrails
Define approval, oversight and acceptable-use policies.
-
Validate
Test performance, bias and safety on local data before go-live.
-
Monitor
Track drift, overrides and incidents throughout operation.
Capabilities
What our clinical ai governance work covers
- 01
AI inventory & risk tiering
Register of AI systems with intended use and risk level.
- 02
Local validation
Performance and subgroup testing on representative data.
- 03
Bias & fairness testing
Analysis of disparate performance across patient groups.
- 04
Human oversight design
Clinician review points, override capture and escalation.
- 05
Generative AI controls
Guardrails against patient-data leakage and unsafe output.
- 06
Model documentation
Model cards, decision logs and audit trails.
Engagement
Deliverables and benefits
What you receive
- AI inventory and risk classification
- AI governance policy and approval process
- Validation and bias test reports
- Monitoring and incident procedures
What it changes
- Confidence that AI performs on your patients
- Clear accountability for AI-informed decisions
- Evidence for regulators, boards and patients
Standards & technology
FAQ
Frequently asked questions
Do you build clinical diagnostic models?
Our focus is governance, validation and secure integration. Clinical judgement and any regulated medical-device approvals remain with the clinical organisation and manufacturer.
Discuss your clinical ai governance requirements
Let’s discuss it. Tell us what you are working on and an engineer — not a sales script — will respond.