Will the test break production?

We agree the blast radius in writing first and prefer a staging copy. Where production testing is necessary it is scheduled, rate-limited and supervised.

We already ran a scanner. Is that enough?

A scanner finds known patterns. It does not chain three medium findings into an account takeover, which is what an attacker does and what we do.

Can you test an AI agent?

Yes. That is a distinct pass: what the agent can be talked into calling, what it will repeat back, and what happens when a customer pastes an instruction into a support ticket.

How long does an engagement take?

A focused test on one application is usually days rather than weeks; a broader scope with AI agents and infrastructure takes longer. The scope conversation is what determines it, and we would rather narrow the scope than stretch the honesty of the coverage.

What do we get at the end?

A report where each finding has reproduction steps, an honest severity and what it means in business terms — plus the fixes applied and re-tested. Informational noise is left out rather than padded in to make the document look thorough.

Do you need production access?

Preferably not. A staging copy that matches production is the safer arrangement, and where production testing is genuinely necessary it is scheduled, rate-limited, supervised and agreed in writing beforehand.

Services · The server rack

We runThe attack first

Purple Team: the same person writes the exploit and closes the hole. Most agencies only harden, which means hardening against a threat nobody tested.

Purple Team
OWASP
Prompt injection
Burp
Wazuh

Web applications, APIs and, increasingly, AI agents. Prompt injection is not a theoretical problem once your bot can read a customer's message and call a tool. We test what an attacker would actually try, write it up with reproduction steps, then fix it and re-test. You get the exploit, not a scanner report with 400 informational findings.

What you get

A findings report with reproduction steps, severity and business impact in plain words
The fixes, applied and re-tested, not just recommended
Hardening of the boring surfaces: auth, session handling, uploads, admin routes
An AI-specific pass if you run agents: tool scoping, output filtering, injection tests

How it goes

01 · Scope and rules
What is in scope, what is off limits, who gets the call if something goes down. In writing, before anything starts.
02 · Attack
Manual testing against the real thing, in a staging copy where that is possible. Tooling assists, it does not decide.
03 · Report
Each finding with the request that triggers it, what an attacker gets, and how expensive it is to fix.
04 · Fix and re-test
We close the findings, then run the same attacks again and show you they fail.

What changes

Findings you can act on

Ranked by what an attacker actually gains, not by a scanner's default severity.

Proof it is closed

The same attack, re-run after the fix, with the failed attempt in the report.

An answer for procurement

Enterprise clients and insurers ask. You have a document.

Work from this bench

Straight answers

Will the test break production?: We agree the blast radius in writing first and prefer a staging copy. Where production testing is necessary it is scheduled, rate-limited and supervised.
We already ran a scanner. Is that enough?: A scanner finds known patterns. It does not chain three medium findings into an account takeover, which is what an attacker does and what we do.
Can you test an AI agent?: Yes. That is a distinct pass: what the agent can be talked into calling, what it will repeat back, and what happens when a customer pastes an instruction into a support ticket.
How long does an engagement take?: A focused test on one application is usually days rather than weeks; a broader scope with AI agents and infrastructure takes longer. The scope conversation is what determines it, and we would rather narrow the scope than stretch the honesty of the coverage.
What do we get at the end?: A report where each finding has reproduction steps, an honest severity and what it means in business terms — plus the fixes applied and re-tested. Informational noise is left out rather than padded in to make the document look thorough.
Do you need production access?: Preferably not. A staging copy that matches production is the safer arrangement, and where production testing is genuinely necessary it is scheduled, rate-limited, supervised and agreed in writing beforehand.

All services

AI automation Blockchain Full-stack Generative AI Web performance

Tell us the problem in plain words.Book the intro call