Inline Runtime Control Boundary
Policy control before AI execution. Evidence after every decision.
BeaconGuard is an inline deterministic authorization and evidence boundary for high-risk enterprise AI workflows across healthcare, financial services, and regulated internal automation.
BeaconGuard deploys alongside existing enterprise applications as an inline policy proxy. It evaluates signed request metadata, workflow context, user role, source-system trust, approved-pathway status, freshness controls, and governed policy before model execution. It returns allow, deny, or needs-review decisions and preserves audit-ready evidence.
Existing Systems Remain in Place
BeaconGuard does not replace existing enterprise applications. It interposes an inline policy enforcement boundary at the AI request layer so existing workflows can be made fail-closed, policy-controlled, and auditable before model execution.
- Existing applications continue to own workflow logic and systems of record.
- BeaconGuard enforces policy before AI or model execution.
- Decision evidence is preserved for security, privacy, compliance, risk, and audit review.
Review Paths
Healthcare Operations
For PHI-sensitive operational workflows, approved AI pathways, privacy review routing, role-based request controls, and audit-ready decision evidence.
Financial Workflows
For AML, KYC, fraud, dispute review, customer-impacting recommendations, and analyst-assist workflows requiring deterministic request control before model execution.
Regulated Internal Automation
For internal AI agents or automations that need policy enforcement before acting against production systems or sensitive operational data.
What BeaconGuard Controls
BeaconGuard evaluates deterministic context tags, approved-pathway status, source-system metadata, signed request attributes, and governed policy before model execution.
- Which AI requests are allowed to proceed
- Which requests are denied before model execution
- Which requests require human review
- Which model pathways are approved for the workflow
- Which user roles may invoke the workflow
- Which signed context tags and source-system attributes are required
- Which evidence is preserved for later review
Control boundary overview
Inline Policy Proxy at the AI Request Boundary
Existing Enterprise Application
Owns workflow logic, records, user experience, and operational process.
BeaconGuard Policy Enforcement Point
Evaluates signed request metadata, source-system trust, context tags, freshness windows, and governed policy.
Approved Model Endpoint
Receives only allowed requests after execution-boundary authorization.
Evidence & review stream
Audit-Ready Evidence
Allow, deny, and needs-review decisions preserve policy inputs and decision context.
BeaconGuard is the fail-closed checkpoint before model execution, not a replacement for the systems that already run the business workflow.