A person is about to share.
Apply data policies to supported prompts and files, with a response in the employee's AI experience.
Guardrails for employeesWorkforce AI SecurityAI guardrails.
AI guardrails.
At the moment
it matters.
Protect covered employee AI use and place policy checks where an integration can act on the result.
Your policy. Supported prompts and files.
How a guardrail works
A rule becomes
a response.
Put the check where the next step can still change.
Start at a defined input path.
Name the person, tool, file or call in scope. The guardrail can only evaluate the material that reaches it.
A detector, a policy and an enforcement point each have a job. The actual response depends on your configured policy and supported path.
People and agents
Different moments. Clear boundaries.
Choose the part of AI use you need to protect.
An integration is about to continue.
Call Aona at a checkpoint you own. Use the verdict or returned redaction before your application proceeds.
Guardrails for AI agentsCompliance and standards
Connect controls to compliance.
See how a practical control contributes to a specific review.
A guardrail supports a control. Compliance also depends on the organisation, its processes, agreements and the full system in scope.
Patient information
HIPAA and employee AI use
Connect supported data protection and recorded policy events to your PHI review. Verify agreements, permitted use and the remaining information.
Configured policySupported responseReview evidence
Explore the control mappingWork through a BAA decisionQuestions
Your questions, answered.
What are AI guardrails?
AI guardrails are checks and controls that help keep AI use within defined boundaries. They can evaluate input, constrain access or actions, inspect outputs, or require human review. An effective guardrail combines a clear policy, a check at the relevant point, a response to the result and evidence that the response happened.
What does Aona provide?
Aona provides visibility into employee AI use on covered endpoints, configured policy responses for supported prompts and files, and supporting usage and policy evidence. Evaluation APIs let developers submit text or supported files at a checkpoint they control. The integration applies the API result; stateless evaluation calls do not automatically create an analytics event.
How do guardrails relate to data loss prevention?
Data loss prevention is one guardrail category. It focuses on detecting and controlling sensitive information shared with AI. Guardrails also include application controls such as tool permissions, output validation and human approval. Aona's employee data protection is part of its Workforce AI Security platform; describing a guardrail category does not imply Aona implements every control in it.
Can guardrails guarantee safe or compliant AI use?
No. Their effectiveness depends on the policy, detection quality, deployment coverage and the response applied. They contribute to security and compliance alongside approved tools, contracts, organisational processes and human judgment. Test representative allowed and prohibited inputs, including error paths, before expanding a rollout.
Where can Aona process prompts?
Backend hosting and prompt processing are separate choices. Aona supports customer cloud, on-premises and Aona-managed hosting options, with supported prompt processing on the user device, in the customer's environment or on Aona-managed servers. Confirm the feature and integration configuration for your deployment. The destination AI provider has its own data handling.
Aona AI guardrails
Bring a real AI use case.
Map the data, policy and supported coverage with our team.