Workforce AI Security
Workforce AI Security
Your workforce is using AI. Is it secure? Aona helps you discover Shadow AI on covered endpoints, enforce data guardrails on supported interactions and coach employees to use AI safely.
Synthetic coverage summary for a policy review.
Synthetic example. Validate the client and policy path in scope.
The Aona 3-Pillar Approach
- 01
Discover
Discover approved and unapproved AI use on covered endpoints. Review tool, team and data-risk information for the supported browser and native-app input paths in your deployment.
Visibility starts on covered endpoints - 02
Secure
Apply configured DLP controls to supported AI interactions. Block or redact sensitive data and enforce acceptable use policies by role, team and tool.
Real-time controls for supported AI interactions - 03
Coach
Explain policy restrictions to employees at the point of use.
Policy guidance at the point of risk
Works for Everyone
Clear Guidance in the Moment
When Aona detects a policy risk, it doesn't just block the action silently. It tells the employee what happened, why the prompt was blocked, and suggests a safe way to accomplish their task, building AI literacy over time.
- Policy explanations at the point of use
- Guidance on safer AI use
- Support for approved tools
AI visibility and control
Security teams can review AI usage on covered endpoints, policy events and coaching interactions in one dashboard, with evidence to support governance reviews.
- Observed AI tool inventory
- Recorded policy actions
- Security activity reporting
How Workforce AI Security Works
- 01
Deploy the Endpoint
Discover observed AI use on covered endpoints, including tools not approved by IT. Review adoption by team and tool once the browser plugin or native app is deployed.
- 02
Review Observed AI Use
Apply data policies to supported AI tools and input paths. Configure blocking or redaction for customer PII, source code and confidential documents, with rules for different teams and data classifications.
- 03
Apply Policy and Coaching
Apply tool and data policies, with explanations when supported interactions are restricted.
In practice · Australian healthcare
Less Shadow AI.
Measured in practice.
92.8%
fewer Shadow AI prompts in 30 days
Result from one Australian healthcare organisation over 30 days.
“We support the use of new technology, but we needed guardrails to make sure it was happening safely.”
Senior systems and security administrator
Australian healthcare organisation
FAQ
Frequently Asked Questions
What is workforce AI security?
How does Shadow AI create security risk for employees?
Does Aona block employees from using AI tools?
How does Aona help employees use AI safely?
How does workforce AI security support compliance?
Workforce AI security starts with visibility. Explore Aona shadow AI discovery to build an inventory of observed AI use on covered endpoints.
Secure Employee AI Use
See how employees use AI on covered endpoints, apply supported data guardrails and build safer AI habits from one platform.