Synthetic Data
Privacy-safe synthetic data and physics-based ICS/OT simulation — without exposing real records.
- Tabular, time-series and synthetic FHIR — deterministic from the same contract
- Process-model-driven ICS/OT telemetry and labelled attack data
- An evidence bundle on every job; re-identification risk measured & reported
Healthcare
Coordinate care work with governed AI workers, human review and audit-ready evidence.
- Referrals, visits, medication and patient comms in one coordinated flow
- Consequential actions pause for human review — no silent automation
- Provenance recorded on every AI action for audit and oversight
Cyber Security
Post-quantum Zero Trust VPN and secure transport with signed policy and private telemetry.
- Hybrid post-quantum keys (X25519 + ML-KEM-768) from the first packet
- Signed, centrally-managed policy enforced at every gateway
- Privacy-preserving telemetry — audit-ready logs, no payload inspection
Trust & Policy
Govern what AI agents do and produce an audit-ready record of every action.
- Admit, review or route every action an AI agent attempts
- Tamper-evident, audit-ready record of each decision
- Integrates with modern agent frameworks
High-assurance software for teams that need proof, control and trust.
ITLOX helps regulated teams generate privacy-safe data, coordinate healthcare work, secure critical communications, and produce evidence for review — with auditability and deployment control built in.
Built for regulated evaluation. No fake compliance claims. No black-box automation claims.
Start with your problem
Pick the area closest to what you're solving. Each one maps to a regulated problem, the ITLOX product that solves it, and a controlled way to evaluate.
Built for the teams that actually carry the risk
The teams where exposure, fragmentation or weak evidence becomes a real liability — and what ITLOX does for each.
FHIR & healthcare data teams
Need valid synthetic FHIR bundles for testing & AI without touching PHI.
EHR & healthtech builders
Need realistic integration/regression data before real patient data is approved.
AI & ML teams
Need realistic development & validation data without exposing production rows.
Software engineers
Need seeded, repeatable test fixtures instead of brittle mock data.
Researchers & universities
Need shareable, reproducible datasets with privacy posture and provenance.
SOC & ICS validation teams
Need labelled attack data and repeatable scenarios for detection validation.
CISOs & regulated networks
Need secure transport and access controls that survive audit and quantum-migration scrutiny.
Critical-infrastructure operators
Need controlled boundaries for OT/IT convergence and sovereign deployment.
VPN providers, MSPs & vendors
Need differentiated secure transport without rebuilding the full stack.
Where ITLOX is used
Healthcare
Care operations, FHIR data & evidenceFinancial services
Secure communications & evidenceCritical infrastructure / OT
OT/IT secure boundaries & ICS validation dataGovernment & public sector
Sovereign deployment & secure transportAI & data teams
Privacy-safe data & agent governanceResearch & universities
Reproducible datasets with provenanceOne evidence-led architecture across regulated problems
Different operational domains, one set of design principles: avoid unnecessary exposure, keep humans in control, enforce policy where it matters, and produce evidence regulated buyers can approve.
Privacy by design
Synthetic data instead of exposed records; privacy-preserving telemetry; governed workflows instead of uncontrolled automation.
Evidence by design
Generation records, workflow trails, policy events and review artifacts designed for audit and buyer scrutiny.
Control by design
Human review gates, signed policy, deterministic regeneration, tenant boundaries and approval workflows.
Regulated deployment
SaaS, dedicated, self-hosted or controlled deployment patterns where supported by the relevant product.
The products behind each solution
Each product is the engine behind one of the four solution areas.
Choose the path that matches your role
Start here
Start with one regulated problem
Bring one dataset, one care workflow, one network boundary, or one AI-evidence requirement. We'll map the acceptance criteria, the right product path, and a controlled evaluation.