MARS
Why MARS

The model is one step in a pipeline MARS controls.

Checks sit on both sides of it.

It can decline to answer

When evidence is thin, the case stays undecided and goes to a person.

Claims are checked against evidence

If the AI cites something MARS never collected, the conclusion does not stand.

Unfinished never looks final

A case still in progress shows its progress and nothing else.

People approve every action

MARS proposes remediation, never runs it alone, and verifies the outcome afterwards.

Attacker text stays data

Mail bodies, file names and links reach the model as material to examine, never as instructions.

You choose where the AI runs

A hosted model, a company gateway or a local model. The host decides which endpoints are allowed.

The same case, handled three ways.

Each approach has something it is good at. The rows below are where they differ.

By handStraight to an AI modelMARS
First read of each caseAn analyst, one case at a time.The model.MARS gathers the evidence, then asks the model.
What the model is givenNo model is involved.Whatever is pasted in, as written.The evidence MARS collected, marked as evidence.
Text in an email aimed at the AIDoes not apply.Reads as part of the request.Stays data, inside a marked boundary.
An answer with nothing behind itDepends on the analyst.Looks the same as a sound one.Rejected, or held for review with a reason.
When the evidence is thinThe analyst escalates.Nothing stops it answering.The case stays undecided and goes to a person.
Response actionsThe analyst carries them out.Whatever is built around the model decides.Proposed by MARS, approved by a person, checked afterwards.
Where case data goesIt stays in the tools you already use.To the model's provider.It stays on your host. You choose the model endpoint, a local one included.
Record of each decisionTickets and notes, where they are kept.A chat history.A signed audit log, with the evidence behind each verdict.
Changing the model or its instructionsDoes not apply.Nothing checks what changed.A change to the instructions is detected and needs sign-off. Known cases can be replayed to compare quality first.
What it takes to runAnalyst hours that grow with volume.Very little.A host to operate and Microsoft connections to configure.

The middle column describes sending case content to a general-purpose model with nothing around it. It does not describe any particular product.

AI

Built around the model, not on faith in it.

The model reads and reasons. MARS decides what it sees and what becomes of its answer.

A fixed answer format

The model answers within defined fields and options. Anything else is discarded.

A model for each job

Mail, XDR incidents, sandbox results and the analyst assistant can each use a different one.

Budgets

Every call is counted against a daily budget before it is sent.

Changes need sign-off

A change to the instructions is detected automatically and has to be approved as a release. Known cases can be replayed to compare quality first.

Two languages

Answers are produced in English and translated into Traditional Chinese in the background.

An audit trail

Who did what, and when, is written to a signed log.