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Security & Trust

Security and trust, by architecture.

Supervity is sovereign by default. Your data and your models stay in your tenant, every action is governed and logged, and residency is met by design, not by promise.

Tenant boundary
Your cloud
The Auto is deployed inside your environment.
Your models
In-tenant inference on your own model contracts.
Your tenant
Data, models and operational intelligence stay here.
Sovereign by default
Auto Policies
Every action is governed before it runs.
Full audit trail
Every action and decision is recorded.
Sovereign by default

Your data never leaves your tenant.

An Auto runs in your own cloud, on your own model contracts. Nothing is sent to a Supervity-hosted model to do the work.

01

Your cloud

The Auto is deployed inside your environment.

02

In-tenant inference

A fine-tuned domain SLM for routine work, your own frontier contracts for advanced reasoning.

03

Per-tenant isolation

Your Auto Graph and data are isolated to you, never shared or co-mingled.

04

Full audit trail

Every action and decision recorded for review and export.

Model-agnostic and in-tenant. No single vendor owns your operation's intelligence, and no operational data leaves your environment.
Governance and human command

Nothing runs unless policy allows it.

Auto Policies

Deterministic policy checks clear every action before it runs, defining what is autonomous, what needs review, and what is escalated.

Human approval

Work routes to a person exactly when policy or judgment requires it, through the Auto Workbench, then resumes with full context.

Full audit trail

Every decision is logged and traceable, so a completed outcome shows who did it and an exception shows why.

Certifications and frameworks

Independently verified,
and designed for the
regimes you operate in.

SOC 2 Type II
Confirm status
ISO 27001
Confirm status
HIPAA
Confirm status
FedRAMP
Path for public sector
EU AI Act
Designed to support
India DPDP & residency
Designed to support

Certification status shown for design reference. Confirm current attestations before publishing.

No lock-in

You bring the models.
You keep control.

Supervity is model-agnostic and routes each task to the right model: a fine-tuned domain SLM for routine work, your frontier contracts for advanced reasoning. Your critical intelligence lives in your Auto Graph, not in a vendor's model, so you can change models without losing the operation.

Routine work
Fine-tuned domain SLM
In-tenant inference for routine work.
Advanced reasoning
Your frontier contracts
Your own models for advanced reasoning.
Critical intelligence
Your Auto Graph
Your critical intelligence lives here, not in a vendor's model, so you can change models without losing the operation.
Zero-trust code generation

Generated code runs sandboxed, then is
torn down.

When an AI Employee generates code to finish a job, it runs inside a zero-trust sidecar with least-privilege access, is governed by Auto Policies, and is torn down after the task. Nothing persists beyond what the audit trail records.

01
AI Employee generates code
02
Zero-trust sidecar
03
Least-privilege access and Auto Policies
04
Torn down after the task
05
Audit trail records what ran
For the CISO

Approve it because the architecture, not a promise, protects you.

In-tenant inference, per-tenant isolation, deterministic policy before every action, a full audit trail, model independence, and residency by design. The controls are built in, and evidence is available for your review.

In-tenant inference
Per-tenant isolation
Deterministic policy before every action
Full audit trail
Model independence
Residency by design
Questions

Security FAQ

Does our data go to Supervity or to a model vendor?

No. Autos run in your own cloud with in-tenant inference. Routine work uses a fine-tuned domain SLM inside your tenant, and advanced reasoning uses your own frontier model contracts. Operational data stays in your environment.

How is autonomous action controlled?

Auto Policies enforce deterministic checks before every action, defining what runs autonomously, what needs review, and what is escalated to a human. Every decision is logged.

What happens when an AI Employee writes code?

The generated code runs in a zero-trust sidecar with least-privilege access, governed by policy, and is torn down after the task. The audit trail records what ran.

Can we meet data-residency requirements?

Yes. Because the Auto and its data live in your cloud and region, residency is met by architecture. Supervity is designed to support EU AI Act, India DPDP, and regional residency requirements.

Are we locked into one model vendor?

No. Supervity is model-agnostic. Your intelligence lives in your Auto Graph, so you can change models without losing the operation.

Bring your security team. We will show them the architecture.