The AI security audit that tests your product the way a model would.

Anyone can sign up to your product. Anyone can point a frontier model at it. Our audit runs the same 1,700+ attack patterns with read-only access, ranks what we find by what it would cost you, and fixes it with your team.

Who it is for

  • →Public SaaS and consumer products with self-serve signup
  • →Products shipping AI features or agent workflows
  • →Teams preparing for SOC 2, ISO 27001 or enterprise vendor review
  • →Boards asking a straight question: what could an attacker do to us today?

How it runs

  1. Week 0

    Scope

    A 15-minute discovery call with a MATT co-founder, then the research team agrees the scope with you. NDA signed inside 24 hours.

  2. Week 1

    Assess

    Read-only access. We map how data and money move through the product and run 1,700+ patterns across identity, spend, data exposure, automation, availability and AI-written code.

  3. Weeks 2–3

    Protect

    Every finding becomes a proposed change your engineers review and merge. We pair on the fix; you keep control of what ships.

  4. Day 21

    Rules and evidence

    Each fix is locked as a plain-English rule and re-testable on demand. You receive one page for the board and a control map for auditors.

What you get

From the record · Anthropic · OpenBSD · April 2026A 27-year-old bug in OpenBSD, found by a model run costing under $50.Twenty-seven years of review is a different thing from tested this month.Read the record →
01
Findings reportRanked by bill, headline or outage, not by CVSS score. Each finding names the business outcome.
02
Merged fixesPull requests reviewed and approved by your team.
03
Plain-English rulesOne line per protection, such as "a user must never act on another user's account", each with a passing test.
04
Board page and control mapWhere you stand today, what changed, and which SOC 2 and ISO 27001 controls each rule satisfies.

Questions

What is an AI security audit?

An AI security audit tests a software product against the techniques AI models now use to find and exploit vulnerabilities: enumerating every endpoint, chaining weak checks, and automating at scale. MATT runs 1,700+ such patterns against your live product with read-only access, then fixes what it finds with your team.

How long does a MATT security audit take?

Three weeks from the first call to merged fixes and written rules: one week of assessment and two weeks of protection work alongside your engineers.

Do you need access to our code or customer data?

Read access to your repository (GitHub is enough to start), a test login and a short walkthrough of the product. We read source code and architecture; production data, secrets and customer records stay out of scope, so nothing sensitive is touched.

How is this different from a penetration test?

A pentest is one consultant for one week, once a year, ending in a PDF. A MATT audit uses researchers plus the same models attackers use, produces merged fixes, and leaves behind rules that are re-tested on every release.

Know where you stand.

Book a discovery call→