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FOR SECURITY TEAMS

AI security where work actually happens.

See workforce AI use. Protect sensitive inputs. Bring policy evidence into the tools your security team already uses.

Protection depends on the deployed client, AI application and input path.

AI workspace

Employee prompt

Draft the renewal for Maya Patel.
Account 481-209.

REDACTED

Sensitive details stay protected.

The configured rule replaces these identifiers before the supported prompt is sent.

PROTECTED PROMPT

Draft the renewal for [NAME]. Account [ACCOUNT].

Customer identifiers

Synthetic example · no prompt is sent.

START WITH THE REAL EXPOSURE

A tool list is a starting point. Context makes it useful.

Review observed AI activity by application and employee group. Give each review an owner and a supported path to investigate.

Explore shadow AI discovery
10,000+AI tools in the risk catalogue

Catalogue breadth is not universal visibility or enforcement.

  1. 01

    Discover

    Observe activity through the installed browser or native client.

  2. 02

    Prioritise

    Review application, group and data context within the collected scope.

  3. 03

    Validate

    Test the exact application, input and policy action before expanding.

BEFORE THE SUBMISSION

Protect the work, not just the browser tab.

Apply data, application and employee-group rules to supported prompts and uploads. Redact sensitive fields or block the submission when policy requires it.

The document keeps its structure.

Aona supports layout-preserving redaction for DOCX, XLSX and PDF files. Validate the upload route and policy against a representative file.

Explore AI data loss prevention

CONNECT THE SECURITY WORKFLOW

A policy outcome should lead somewhere useful.

Bring captured AI security events into your investigation workflow through Aona’s event API, signed webhooks and Microsoft Sentinel integration.

Review Sentinel integration
  1. Policy evaluation
  2. Aona event
  3. SOC review

ILLUSTRATIVE EVENT CONTEXT

Application
Supported AI tool
Policy
Customer identifiers
Outcome
Redacted
Review
Security operations

Review the captured scope and delivery configuration. A feed is not proof that every interaction was collected.

TWO DISTINCT DEPLOYMENT CHOICES

Choose where Aona runs, and where prompts are processed.

Aona backend

  • Customer cloud
  • On-premises
  • Aona-managed servers

Prompt processing

  • User device · edge
  • Customer cloud / on-premises
  • Aona-managed servers

Validate each combination for your environment. These choices do not set the residency of a separate AI provider or guarantee feature parity.

Review deployment options

TECHNICAL QUESTIONS

Know the scope before the rollout.

How does Aona detect shadow AI?

Aona observes workforce AI activity through an installed and configured browser plugin or native application. It is not an agentless network scanner or an identity-log discovery service. The 10,000+ tool catalogue describes risk-catalogue breadth; observed coverage depends on the deployed client and collection settings.

Can Aona redact or block sensitive AI inputs?

Yes, on supported application and input paths. Policies can use data, application and employee-group context to redact sensitive content or block a submission. Prompt and file handling differ by client and application, so validate the exact rule and path. A hard-block response does not offer an acknowledge-and-continue option.

Which browsers, desktop apps and AI agents are covered?

Chrome, Edge, Firefox and Safari are production browser paths. Native Windows and macOS coverage varies by application, operating system and input path. Native AI-agent inspection is in limited rollout; it is not universal agent coverage or a remote agent kill switch. Use the coverage reference to define the path you want to validate.

Can we send AI security events to Microsoft Sentinel?

Aona provides a live Microsoft Sentinel integration, an event API and signed outbound webhooks with OCSF-aligned event data. Confirm event scope, collection, delivery timing and ingestion configuration for your environment. Other SIEMs can consume the feed through a customer-managed integration; a packaged connector is not implied.

Can we host Aona in our own environment?

The Aona backend can run in your cloud, on-premises or on Aona-managed servers. Prompt processing is a separate choice: on the user device at the edge, in your cloud or on-premises, or on Aona-managed servers. Confirm the supported combination and responsibilities during deployment planning.

What should we bring to a technical demo?

Bring an AI application, the browser or native client and operating system, a synthetic prompt or file, and the policy response you want to test. Include your preferred hosting and processing locations and any SIEM requirement. The session can then focus on the supported path and evidence needed for your evaluation.

MAKE THE DEMO YOUR VALIDATION SESSION

Bring one workflow. Leave with a clearer scope.

Use a synthetic prompt or file to discuss the control, the employee response and the evidence your team needs.

Book a technical demo