See the employee interaction
A clear response at the point of use can help a busy team member choose a safer input instead of guessing.
Workforce AI Security
AI Governance for Healthcare
Workforce AI Security for healthcare teams using third-party AI in administrative work.
For healthcare IT, privacy and security leaders responsible for employee AI use.
Patient communications
PromptUser or AI agent
Draft a follow-up for Maya Patel (0491 570 156) about appointment APPT-2026-0418.
Redacted
Identifiers removed
The illustrated identifiers are masked so the request can be reviewed in a safer form before sending.
Protected prompt
Draft a follow-up for [REDACTED NAME] ([REDACTED PHONE]) about appointment [REDACTED REFERENCE].
Synthetic example
Sensitive content was detected in this illustrated request.
Keep policy decisions reviewable
Security and privacy teams can review recorded outcomes and refine configured rules as the rollout learns.
Start with administrative workflows
Scope practical use cases first; clinical safety, treatment decisions and medical advice remain outside this workforce AI control.
Workflows
Safer AI prompts for healthcare administration.
Start with the everyday AI interactions your people already need to complete.
Synthetic example
Prepare a follow-up without sending identifiers
Draft a follow-up for [REDACTED NAME] ([REDACTED PHONE]) about appointment [REDACTED REFERENCE].
ActivityRedacted
- Group
- Healthcare
- Data
- Maya Patel · 0491 570 156 · APPT-2026-0418
- Response
- Identifiers removed
Sensitive content was detected in this illustrated request.
Aona supports workforce AI interactions, not clinical decision-making. Validate each tool, endpoint, policy and data path with synthetic information before rollout. Choose backend hosting and prompt processing separately; confirm the supported configuration and data flow before rollout.
Shadow AI prompts in 30 days
Before446
After32
Recorded for review
An anonymised Australian healthcare result
One anonymised 30-day healthcare case recorded Shadow AI prompts falling from 446 to 32 after platform blocking and pre-submission guardrails were enabled. It is a single case, not a general performance or clinical-safety promise.
Read the case studyDeployment, on your terms
Your infrastructure. Your processing choice.
Choose where the Aona backend runs, then where Aona processes prompts.
Host the Aona backend
Customer cloud, on-premises or Aona-managed hosting.
Process prompts with Aona
On-device, in your infrastructure or on Aona-managed servers.
Deployment answers
Scope the rollout with the real control boundary.
Confirm the tools, surfaces and data paths that matter before expanding beyond a synthetic test.
View details- 01Discovery
- Endpoint coverage is required for observed workforce AI use. The catalog tracks 10,000+ tools; catalog presence is not an enforcement promise.
- 02Controls
- Configured prompt and file controls apply on supported tool, surface and action combinations. Confirm the exact workflow with a synthetic test.
- 03Deployment
- The browser extension supports Chrome, Edge, Firefox and Safari. The native endpoint app broadens scope, but provider and transport depth differs; IT deploys it on Windows and macOS with its existing tooling.
- 04Review
- Use recorded policy outcomes to support internal review. They are evidence for your process, not an automatic compliance, classification or risk conclusion.
Buyer questions
Answers for the people accountable for workforce AI use.
Illustrated with synthetic data; confirm your workflow before rollout.
Aona tracks more than 10,000 AI tools in its risk catalog, but that discovery breadth does not mean every tool has an available control. The response depends on the tool, surface, action and endpoint. Confirm your required workflows in the evaluation.
On a supported path, the employee receives a clear response before sending. Depending on the configured rule, they may see a block or a prompt to use a redacted version. A hard block does not offer a continue option.
Choose backend hosting separately from Aona prompt processing. Host the backend in your cloud, on your premises or on Aona-managed servers. Process prompts on the user device/on-edge, in your cloud or on-premises, or on Aona-managed servers. Confirm the supported configuration, retention, telemetry and integrations for your rollout; these choices do not change a third-party AI provider’s data handling.
Choose one specific administrative workflow, a group and a simple rule for healthcare teams. Use synthetic data to check the experience on the intended tool and endpoint, then expand only after reviewing the results.
Yes. Start with a defined administrative workflow such as communications, referrals or operations. Aona does not assess clinical safety, treatment decisions or medical advice, so those must stay within the organisation’s established clinical governance.
Recorded policy outcomes can give privacy and IT teams a shared view of configured controls and observed responses. Agree the review process, retention and escalation path before expanding the workforce rollout.
Resources
Continue the evaluation
010203
Read the anonymised healthcare case study
See the anonymised 30-day Shadow AI prompt reduction story from an Australian healthcare organisation.
Check supported coverage
Review the practical tool, endpoint and action questions for your evaluation.
Plan a deployment
Use the deployment guide to prepare a measured rollout.
Focused evaluation
Map one healthcare workflow before you scale.
Bring an administrative AI use case, an example of the information involved and the team that owns the policy. We will focus on the employee experience and supported deployment path.
Book a healthcare demoPatient communications
- Administrative workflow and AI tool
- Synthetic prompt or file test
- Configured response and employee guidance
- Rollout scope, retention and residency questions
Synthetic example