Liminal AI
Secure AI Enablement & Governance ProfileSecure AI · Data Protection · Shadow AI · Multi-Model Assistants · In-App AI · AI SDK

Liminal AI —
Secure Generative AI Enablement & Governance

Liminal AI is a secure AI enablement and generative-AI governance platform delivering single-pane access to leading models behind a policy engine that protects sensitive data on every prompt and response, sanctions Shadow AI, builds custom multi-model assistants, extends governed AI into Microsoft 365, Google Workspace, Salesforce, Slack and Adobe, and exposes the same controls through an SDK — fitting operating models whose workforce is already using generative AI and whose security, privacy and compliance posture cannot continue absorbing unmanaged Shadow AI exposure. Fibi sources and negotiates Liminal AI on your behalf, at no cost to your business.

Policy Engine
On Every Prompt & Response
Single-Tenant VPC
Per-Customer Isolation
Model-Agnostic
Top LLMs + Internal Models
Buy + Build
Spaces, Desktop & SDK

Portfolio

Secure AI Platform + Data Protection + Shadow AI Governance + Assistants + In-App AI + SDK

A governed control plane across direct chat, in-application AI and developer-embedded AI — with deterministic policy controls on every prompt and response.

Secure AI Enablement Platform

Single-pane access to leading generative AI models behind a governed control plane that inspects every prompt and response — fitting operating models whose workforce is already using AI and whose security posture cannot continue treating each consumer AI tool as an unmanaged egress channel.

Sensitive Data Protection on Prompts & Responses

A policy engine applies redact, mask, warn and pass-through actions on PII, PHI, financial identifiers and internal terminology before prompts reach a model — with rehydration of masked terms in the response — fitting operating models whose regulated data cannot be sent verbatim into third-party LLM endpoints, and whose privacy posture demands a deterministic control plane rather than user-side discipline.

Shadow AI Discovery & Governance

Sanctioned, observable AI usage across web, desktop and embedded applications replaces ad-hoc consumer AI tools — fitting operating models whose security posture has discovered employees pasting sensitive content into unmanaged AI surfaces, and whose governance posture cannot rely on blocking AI as a sustainable strategy.

Custom Multi-Model Assistants

Build, share and govern custom assistants configured with natural-language instructions, document context and an explicit or auto-selected model — fitting operating models whose use cases demand task-specific assistants, and whose IP and customer-data posture cannot accept consumer assistant tooling that lacks tenant isolation and policy enforcement.

In-Application AI Access (Microsoft 365, Workspace, Salesforce, Slack, Adobe)

A desktop helper extends the same governed AI surface into the productivity, CRM and collaboration applications already in use — fitting operating models whose adoption strategy demands AI in the flow of work, and whose architecture posture cannot tolerate a separate, unmonitored AI app on every desktop.

AI Security SDK for Custom Applications

A Python, TypeScript and .NET SDK embeds the same prompt and response controls into employee-facing and customer-facing applications — fitting operating models whose AI strategy includes building, not only buying, and whose engineering posture cannot reinvent prompt protection on every project.

Ideal For

Regulated Operating Models Adopting Generative AI

Banking & Financial Services

Operating models whose customer, transaction and advisory data fall under GLBA and bank-supervisory expectations, and whose AI adoption posture cannot tolerate verbatim regulated-data egress to third-party LLMs.

Healthcare & Insurance

Operating models whose PHI and claims data fall under HIPAA and state insurance regulation, and whose AI strategy demands deterministic redaction and masking before any model sees the prompt.

Education & Public Sector

Operating models whose student records, research IP and constituent data are governed by FERPA and equivalent rules, and whose AI policy cannot rely on user-side discipline as the primary control.

Enterprise & Professional Services

Operating models whose client confidentiality, IP and matter-bound material cannot be sent into consumer AI tools, and whose governance posture demands tenant-isolated infrastructure and full AI-usage observability.

Why Liminal AI

Where Liminal AI Stands Out as Secure AI Enablement

Structural advantages that justify Liminal AI over consumer AI tools and DIY governance.

Policy Engine on Every Prompt & Response

A redact / mask / warn / pass-through engine runs on every prompt and every response, with rehydration of masked terms — fitting operating models whose regulated and proprietary data cannot leave the perimeter verbatim, and whose privacy posture demands a deterministic control plane rather than per-user discretion.

Single-Tenant VPC Architecture

Each customer deploys into a dedicated single-tenant VPC with isolated database and data lake in the private subnet, AES-256-at-rest with rotating keys and TLS 1.2+ in transit — fitting operating models whose enterprise security posture demands tenant isolation and auditable cryptography rather than shared-tenant SaaS defaults.

Model-Agnostic & Forward-Compatible

Access to leading models (GPT, Claude, Gemini, Perplexity and others) plus customer-internal LLMs through one engine, with model upgrades absorbed by Liminal as new versions ship — fitting operating models whose AI strategy cannot lock to a single model vendor and whose architecture posture demands forward compatibility as the model market evolves.

Coverage Across Buy-Side & Build-Side AI

Spaces (web), desktop helper across the productivity stack, and an SDK for custom applications — one control plane across direct chat, in-application AI and code-embedded AI — fitting operating models whose AI footprint spans both productivity adoption and product engineering, and whose governance posture cannot tolerate divergent controls per surface.

Why Use Fibi

Liminal AI Direct vs. Liminal AI Through Fibi

Your contract is with Liminal AI either way. The difference is the comparison, sourcing and ongoing support layer around it.

AspectLiminal AI DirectLiminal AI Through Fibi
PricingStandard Liminal AI ratesVolume-negotiated — equal or better
Vendor comparisonLiminal AI onlyLiminal AI vs other secure-AI and AI-governance providers
Quote turnaround5–10 business days24–72 hours across multiple options
Architecture reviewLiminal AI solution architectsIndependent advisor representing your interests
Post-go-live supportLiminal AI support onlyFibi escalation + Liminal AI support
Advisory feeN/A$0 — provider-funded

FAQ

Choosing Liminal AI for Secure Generative AI Enablement

Get a Liminal AI Quote Through Fibi

Fibi will scope your AI adoption posture, regulated-data exposure, Shadow AI footprint and buy-side / build-side surface against Liminal AI and other secure-AI and AI-governance providers — so you see how Liminal AI compares before signing, with no obligation and no sales pressure.

Compare Liminal AI against other cybersecurity providers