Old-style security testing is slow, manual, expensive, and out of date the moment you ship. We rebuilt it around automation and AI: our tooling does the heavy lifting — scanning, exploring, and re-testing on every release — while our experts direct it and sign off the result. You get faster answers, continuous coverage, and a defensible posture your bank or regulator will accept — for a fraction of the price, and it stays true after launch.
Why the old model costs too much
A traditional penetration test is a team of expensive consultants, several weeks, and a PDF that is accurate the day it lands and silently wrong by your next deployment. Every re-test is another full-price engagement. For a fast-moving product, that is both too slow and too expensive to repeat — so most teams test once, at launch, and hope.
We took the opposite approach. Automation and AI carry the breadth and the repetition; senior expertise is spent only where it genuinely moves the needle — on judgement, validation and sign-off. That is what makes the service faster, continuous, and dramatically cheaper to run over time.
Built around what matters to you
Every business has a crown jewel — the thing that must never fail. For a bank on a shared platform it is that one customer’s data can never reach another’s; for a filing service it is that no one can submit under someone else’s signature; for a payment platform it is transaction integrity. A generic checklist tests everything a little and your crown jewel no better than the rest.
We start by defining your crown jewels with you, and then organise the whole assessment around them: which agents run, how deep, what the report leads with, and how findings are ranked. Every finding is scored by its severity, how critical the crown jewel it threatens is, and how exploitable it is in the real world — so the top of your list is what actually endangers you, not the loudest scanner alert. It is the model the leading security-validation platforms are built on, delivered with our independence and a human who signs.
What we do
An end-to-end assurance engagement — automation-first, delivered as modules you can take together or in parts.
1 · Automated scanning & recon
The full breadth layer — attack-surface mapping, vulnerability scanning, code, dependency and secret analysis — orchestrated from one scope-controlled command into the dashboard.
2 · AI-assisted testing
AI agents discover your application’s own endpoints and test them for the flaws automation usually misses — broken access control, authentication bypass, injection, business-logic abuse, and tenant isolation on shared platforms. Real engines back them (web, dependency, code and secret analysis), so a finding carries a CVE, a CVSS score and a fix — not a heuristic. An expert steers and confirms; where a probe could not fire, we mark it inconclusive rather than report a false pass.
3 · Architecture & compliance
Mapping your architecture and the continuous evidence the testing produces to DORA, ISO 27001 and PCI DSS, with the discipline of a qualified assessor. Delivered as Assured Architecture & Compliance — a periodic, evidence-based programme rather than a point-in-time audit.
4 · Continuous assurance
The differentiator. Every confirmed finding becomes an automated, re-runnable check wired into your deployment pipeline, re-proving your security invariants on every release and showing them on a live green/red dashboard. Each finding is tracked over time, so a fix is marked verified only when the re-test actually confirms it — find it, fix it, prove it fixed — and a posture trend shows your risk bending down. A change that quietly reopens a hole turns a check red before it reaches production. Validated findings and critical alerts flow into Slack, Jira or your SIEM, so the work lands where your team already is.
5 · Independent verification & sign-off
Every finding is validated, evidenced, mapped to a recognised standard, and signed off by name. That is the accountable evidence your counterparties actually want — and the part no automation replaces.
How an engagement runs
- Scope & authorise — a tightly-bounded scope and written testing authorisation; testing only ever runs against an isolated, synthetic-data environment.
- Run the automated pipeline — scanning, code analysis and AI-assisted testing, from one command into the dashboard, in hours.
- Validate & report — experts remove false positives, rate every finding, and AI helps assemble one clear, evidence-backed report with an honest coverage statement — in days, not weeks.
- Assure continuously — the harness and dashboard stay in place and re-run on every release, so the result keeps proving itself.
What it costs you (and what it saves)
- Less than a traditional pentest for the initial assessment — same rigour, far less manual labour.
- A fraction of that, ongoing, for continuous assurance — priced as a subscription, not a series of full re-tests.
- Fewer expensive surprises late — because a regression is caught on the deploy that caused it, not in next year’s audit.
What you get
A signed security and compliance report, organised around your crown jewels, with a defensible coverage statement — what was tested, and honestly what was not. A risk-prioritised findings register where every finding carries a CVE, a CVSS score, a plain-language issue and a fix. A compliance-readiness position with the launch blockers named. And a continuous-assurance harness, live dashboard and posture trend you keep — with results pushed into your own tools — so the assurance holds, and keeps proving itself, after we leave.
Honest by design
The one thing we will not do is dress up a result. If a test could not run against your environment, we mark it inconclusive, not “secure”. A crown jewel is only reported protected when we proved it — for tenant isolation, that means showing a leak would be caught before we call it clean. And no automation ever signs the assessment: an agent plans, runs and drafts, but a named expert validates and stands behind it. That is precisely the accountable evidence a bank or regulator is asking for.
Who it is for
Fintechs, lenders and insurers approaching launch; SaaS and platform businesses handling financial or sensitive personal data; and any team facing bank, insurer or regulator due diligence — especially fast-shipping teams on serverless, BaaS or multi-tenant infrastructure who cannot afford to test only once.