Trust · Security by design

Agents you can actually 
put in production.

Autonomy without guardrails is a liability. Every agent we ship acts as the person using it, asks before it changes anything, and writes an immutable record of what it did — the controls are built in from the first line, not bolted on before launch.

Acts as you
never a shared super-account
Approves first
every write pauses for a human
100% audited
every action attributed & logged
The three fears — answered

What keeps buyers up at night, and how we engineer it out.

The fear

A bot with the keys to everything

Most agents run on one shared service account with broad access. If it’s tricked, it can do anything that account can — read every record, touch every system.

How we build it out

It acts as the person, not the robot

Our agents run as the signed-in user. The agent inherits exactly that person’s permissions and can never exceed them, and if no verified identity is present it refuses to act — it fails closed, never falling back to an all-powerful account.

Forwarded identityLeast privilegeFails closed
The fear

A black box you can’t answer for

When an agent does something, can you say what it did, on whose behalf, and with which data? If the answer is “not really,” it can’t go near regulated or high-stakes work.

How we build it out

Every action logged, attributed, queryable

Every action the agent takes lands in an immutable, integrity-checked audit trail — who, what, which resource, when. It’s the record your auditor asks for, available as a live artifact, not a promise.

Immutable auditFull attributionAuditor-ready
The fear

It hallucinates — then hits “send”

A confident wrong answer is bad. A confident wrong answer that changes a record, emails a customer, or moves money is a liability.

How we build it out

Reads freely, asks before it acts

Reading is automatic; anything that changes data, touches a customer, or can’t be undone pauses for a human to approve — and answers are grounded in your own data, not the model’s guesswork. The approval is bound to the person who made it and re-checked before it runs.

Human-in-the-loopGrounded answersNo unreviewed writes
The part most teams get wrong

The security boundary is the tool call, not a prompt filter.

Trying to catch attacks by scanning the user’s message is theatre — it’s trivially evaded and blind to instructions arriving inside a retrieved document. The real control is validating the actual actions the model tries to take: recipient allow-lists before anything is sent, resource-name checks and ownership scoping before any data is read or written. We treat every retrieved document and tool result as untrusted, and we validate the action — not the sentence.

Built in from day one

The controls behind every agent.

Forwarded identityHuman-in-the-loopImmutable audit trailPer-tool argument validationSandboxed code executionZero-trust · mTLSGoogle OIDCSOC 2-aligned by construction

SOC 2-aligned by construction — controls mapped from day one. We’ll walk your security team through every one of them.

Hand it to your security team.

Book a call and we’ll walk through the identity model, the approval gates, and the audit trail against your own requirements — or blueprint an agent and see the controls in context.