Protect patient-related data in everyday AI use

Clinical and corporate teams use ChatGPT, Copilot, Claude and Gemini for research, documentation and operations. Airentect enforces health privacy policy at the prompt layer before data reaches external models.

Clinical workflows

Research, notes and decision support

Clinicians and researchers use AI for summarisation, documentation and literature review. Without prompt-layer controls, patient identifiers, clinical details and trial data can leave the organisation through everyday browser sessions.

Operations and administration

HR, finance and corporate teams

Non-clinical staff use the same AI tools for rostering, contracts, grants and internal comms. Health service identifiers, staff records and operational data need the same enforcement as clinical prompts.

Data categories at risk in public AI tools

Healthcare organisations face privacy obligations across clinical and corporate use of AI. Common prompt-leak categories in early deployments include:

Patient identifiers and contact details
Clinical notes and care summaries
Research and trial data
Staff HR and rostering information
Internal policy and strategy documents
Credentials and integration secrets

Controls

Policy at the prompt layer

Airentect inspects prompts before they reach external AI systems, applies Allow, Redact or Block actions from your policy library, and gives privacy and security teams audit-friendly reporting. Roll out via browser extension without replacing your existing DLP or identity stack.

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Govern AI across clinical and corporate teams

When you are ready to discuss prompt-layer controls for a health or aged care organisation, leave your details and we will follow up.

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