WHAT MAKES US DIFFERENT

Why a large company picks Fogoarai over the obvious options

The reason to choose Fogoarai isn't any single control — it's that governance, cost-optimized routing, and private / air-gapped deployment ship together, in one runtime, inside your own infrastructure. There are four ways a large company usually tries to solve this. Here is where each one falls short for a regulated business.

A · AI GATEWAYS

Why not Portkey, LiteLLM, or a cloud AI gateway?

Strong at the API layer (routing and observability), but you connect to them as an outside SaaS endpoint. For a company bound by data residency, that's exactly what compliance won't allow.

B · AI SECURITY TOOLS

Why not Lasso or Prompt Security?

They monitor AI (prompt-injection defense, DLP, risk dashboards), but they don't run the work. You still have to build the agents, the tools, the approvals, and the audit.

C · CLOUD AI PLATFORMS

Why not Azure AI Foundry, AWS Bedrock, or GCP Vertex?

They tie the company's AI to one cloud's infrastructure. In regulated industries, that lock-in is the deal breaker before the evaluation even starts.

D · FRAMEWORKS & BUILD-IN-HOUSE

Why not LangChain, CrewAI, or building it yourself?

Those are libraries for engineers, not a product. You end up with a brittle stack you can't evaluate, version, or hand to compliance. Fogoarai is the buy option.

This is the wedge: governance + cost-optimized routing + private / air-gapped deployment, in one runtime. No one else clears all three columns.
ApproachGovernanceCost routingPrivate / air-gap
AI gateways (Portkey, LiteLLM)partialyesno
AI security tools (Lasso, Prompt Security)partialnopartial
Cloud AI platforms (Azure, AWS, GCP)yesnono
Frameworks (LangChain, CrewAI)nonobuild it yourself
Fogoaraiyesyesyes
THE BASELINE · TABLE STAKES

Nine controls a regulated business takes for granted

This is the floor, not the pitch. Everything below is active in production today, and it's what makes Fogoarai safe to put in front of a security review. The reason a regulated company chooses us is what sits above this: governance, routing, and air-gapped deployment in one runtime. Few competitors clear all three.

G.01Role-based access controlACTIVE
G.02Tool allowlists and action boundariesACTIVE
G.03Human-in-the-loop approval flowsACTIVE
G.04Full audit logs for model + tool callsACTIVE
G.05Structured output validationACTIVE
G.06Sensitive data redactionACTIVE
G.07Versioned prompts, models, policies, workflowsACTIVE
G.08Evaluation gates before production deploymentACTIVE
G.09Continuous monitoring after deploymentACTIVE
FOR THE PERSON WHO APPROVES IT

Designed so the person who signs off comes out looking right

Approving AI in a regulated company is a personal risk for whoever puts their name on it. Fogoarai is built so that bet is defensible.

01 / IN FRONT OF YOUR CISO

Nothing you have to explain away

Data stays inside your network, every action is on the record, and there are no external API calls in the runtime path. The hard questions are already answered before they're asked.

02 / IN FRONT OF THE BOARD

A posture you can show, not promise

Export a complete record of what AI did and under which policy. You bring evidence to the committee, not assurances.

03 / WHEN AN AUDITOR ASKS

Traceable by default

Every decision is versioned and replayable from any timestamp. The answer to "show me" is already in the system.

CONTINUITY

"And what happens if Fogoarai goes away?"

A fair question for any infrastructure from an early-stage vendor. The honest answer is built into the architecture: Fogoarai runs entirely inside your own infrastructure. Even if the company disappeared tomorrow, your deployment keeps operating, with no dependency on us to keep running.

C.01Runs in your infrastructure — no external runtime dependencyBY DESIGN
C.02Source-code escrowON REQUEST
C.03Autonomous-operation runbook handed over at deploymentON REQUEST