Policy context
Inspect the recorded application, policy version, validator context, findings, and relevant authority references. Missing historical evidence remains unknown.
How LSAS works
LSAS Platform connects approved governance requirements to supported AI workflows, evaluates actions at runtime, and preserves evidence of the decisions and controls applied.
01 · Where LSAS Platform fits
Your application calls a supported LSAS Platform endpoint. The gateway evaluates the request, admits only supported execution, and evaluates the result before release.
Illustrative architecture · Supported provider-mediated request
Coverage comes from the integration boundary. LSAS Platform does not universally intercept every network request, employee AI session, or autonomous agent.
02 · The runtime pipeline
The same control sequence connects authority, evaluation, execution, and evidence. The selected route determines which provider, transformation, or review capabilities are available.
Identify the authenticated application, tenant, environment, assigned policy version, and permitted route. Resolve any recorded active alignment and the admitted provider destination.
The caller's identity and server configuration establish the boundary. A prompt or client-supplied role cannot widen it.
Application identity · Exact policy version · Authority checksValidate supported text or JSON shapes and run configured checks before outbound work. Reject unsupported inputs; apply and recheck a supported transformation when the policy requires it.
An unsafe or unsupported request can be stopped before it reaches an external service.
Ingress findings · Required intervention · Actual input transformationFor an admitted provider call, bind the registered skill to its destination, policy context, deadline, and budget. Recheck authority around execution.
Permission applies to a specific supported operation. Unsupported tools and destinations cannot expand the grant.
Execution grant · Effect intent · Adapter resultEvaluate the actual returned artifact with the selected policy and supported validators. Apply supported transformations on the server and revalidate the result.
A rule that requests redaction is different from a redaction that was completed successfully.
Egress findings · Transformations applied · RevalidationRelease eligible output, release a validated transformation, block it, or hold it. The supported nonclinical review profile requires approval of the exact artifact before release.
A hold or escalation is not permission to release. Changed content, expired authority, or a different audience invalidates approval.
Final disposition · Release or hold receipt · Exact artifact bindingRetain the policy context, rule findings, derived evidence, and execution receipts associated with the decision. Keep intermediate findings separate from the final release outcome.
Reviewers can inspect which controls ran and what was released or withheld, within the recorded evidence scope.
Correlated decision record · Policy provenance · Audit history03 · A governance decision in detail
This synthetic JSON example follows the supported Developer Data Guard payload boundary. It illustrates tested behavior, not a customer event or a live decision record. No model or external service is called.
Policy: developer-data-guard@1.0.0
{
"message": "Contact engineer@example.invalid about the sample project.",
"nested": [{ "phone": 5551234567 }]
}{
"message": "Contact [REDACTED_EMAIL] about the sample project.",
"nested": [{ "phone": "[REDACTED_PHONE]" }]
}REDACTED.TRANSFORMED: the validated transformed payload is returned. The original contact values are not released by this boundary.ALLOW or ALLOW_WITH_WARNINGS may release eligible content. A warning can remain part of the evidence.05 · Integration and deployment
Explicitly enrolled nonclinical applications can hold an encrypted output artifact for exact-output review. Approval binds the artifact, original application audience, and relevant authority; expiry or changed content prevents release.
A generic escalation does not automatically enter this workflow. Current-regulatory-evidence verification, generated-code execution, and unrestricted agent execution remain unsupported and held. Clinical production use requires separate deployment and domain qualification.
VPC and private-deployment diagrams describe architectural options. Networking, identity, retention, tenant isolation, recovery, load, incident response, and domain suitability need evidence from the actual customer environment.
06 · From decision to evidence
Decision records distinguish what policy required, what the runtime actually did, and whether content was released. Correlated audit and reporting views preserve that distinction.
Inspect the recorded application, policy version, validator context, findings, and relevant authority references. Missing historical evidence remains unknown.
See applied transformations and their stage, final release or hold status, and artifact fingerprints where recorded. An intermediate grant is not a final release receipt.
Use scoped console and report views to examine retained decisions. Time windows, excerpts, historical gaps, and conflicting records constrain what a report can establish.
A recorded policy evaluation is evidence of the recorded controls. It does not automatically establish regulatory compliance, factual or clinical correctness, downstream delivery, or verified business outcomes.
Explore LSAS Platform
Explore guided scenarios and inspect findings, controls, and outcomes in a public demonstration environment. Use synthetic or non-sensitive data only.
Explore SandboxExercise supported API boundaries and inspect retained evidence in your private evaluation workspace. Use synthetic or non-sensitive test data; no production use.
Start Developer EvaluationDiscuss a workflow, its accountable owners, and the integration and evidence needed to evaluate it in your environment.
Request a DemoSandbox and Developer Evaluation are independent entry paths. Neither is a prerequisite for the other.