Layered Safety and Accuracy System

Governed AI outputs for regulated systems.

LSAS is a safety-orchestration gateway that risk-scores, validates, and enforces policy on GenAI outputs—before they become decisions in healthcare, fintech, and other governed environments.

The Problem

Prototypes ship fast, but outputs aren't auditable, compliant, or safe enough for production-critical flows.

LSAS in Front

Drop LSAS in front of your LLMs to get consistent decisions, policy enforcement, and telemetry by default.

Architecture Preview

LSAS sits between your products and upstream LLM providers. Every call becomes a decision with risk scores, findings, remediations, and audit metadata.

product → LSAS Gateway → LLM

response: { data, lsas }

lsas.decision: ALLOW_WITH_WARNINGS

lsas.risk.tier: MEDIUM

lsas.findings[0].domain: HIPAA_PHI

Read the runtime architecture →

How LSAS works

LSAS implements a layered pipeline built for regulated workloads. Deterministic components keep behavior predictable and auditable.

  1. Step 1

    Classify

    Deterministically classify intent and risk domains before any model call.

  2. Step 2

    Ground

    Attach tenant policy packs and environment context to the request.

  3. Step 3

    Validate

    Run deterministic validators for PII/PHI, PCI, security, and accessibility.

  4. Step 4

    Escalate

    Route high-risk events for human review or block at the edge.

  5. Step 5

    Learn

    Feed decisions and incidents into rollups for insights and tuning.

Decisioning

Every call receives a Decision (ALLOW, REDACTED, BLOCKED, ESCALATE_HITL) plus findings and remediation hints.

Risk domains

Out-of-the-box domains for HIPAA/PHI, PCI, security, FDA, and accessibility with tunable policy packs.

Insights

Daily rollups and incident views give compliance and security teams a shared source of truth.

Built for healthcare & fintech

LSAS focuses on HIPAA/PHI, PCI, security, accessibility, and FDA-adjacent workloads. It doesn't claim certification—it gives you a governed runtime you can plug into your own programs.

  • • PHI/PII detection and redaction helpers
  • • PCI-sensitive pattern checks for card data
  • • Security validators for secrets and dangerous instructions
  • • Accessibility copy lint for outward-facing UX

Why it matters

Teams ship GenAI features faster when safety and governance are handled by a shared runtime instead of per-product glue.

  • • Speed-to-production with a paved path for regulated flows
  • • Lower cost-to-serve incidents and investigations
  • • Fewer surprises for compliance, audit, and security reviews

FAQ

Does LSAS store my prompts or completions?

By default LSAS stores derived telemetry only (decisions, risk scores, rule hits). Raw content stays in your boundary.

Is LSAS an OpenAI replacement?

No. LSAS proxies OpenAI-compatible providers and focuses on policy enforcement, telemetry, and governance.

Can I self-host the gateway?

Yes. The Community tier is designed for self-hosted deployments with your own control plane and observability.

How do you handle multi-tenant RBAC?

Tenants, apps, memberships, and roles are modeled explicitly so you can align LSAS with your own IAM and org structure.