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 1,200+ attack patterns first, ranks what we find by what it would cost you, and fixes it with your team before someone else finds it.

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 in one hour

    A senior researcher looks at your public deployment live and 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 1,200+ 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 1,200+ 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-only access to your public deployment and, where useful, your repository. No agents are installed and no customer data leaves your environment; we observe behaviour, not records.

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 the hour