Penetration Testing
Web apps, APIs, mobile apps and internal networks, probed the way a real attacker would — chaining small weaknesses into the one that actually hurts. Every finding lands with a working proof, not a maybe.
Cybersecurity & AI Security
Testing that proves the flaw instead of guessing at it, protection that absorbs the attack instead of forwarding it, and guardrails for the AI you just put into production. Built by the engineers who build the systems — not a report you file and forget.
The point of it all
We use AI to find what a once-a-year manual test always misses — more of your surface, checked far more often, with a working proof attached to every finding. And because we spend the rest of our week building AI assistants and agents for enterprises, we also secure those: the injected instruction, the record that leaks through a helpful answer, the permission that turned out wider than anyone intended. Same engineers, same rigour, both directions. Security stops being the team that says no, and starts being the reason you can ship on Friday.
What we cover
Web apps, APIs, mobile apps and internal networks, probed the way a real attacker would — chaining small weaknesses into the one that actually hurts. Every finding lands with a working proof, not a maybe.
Checks that run on every code change and every deploy: source-code analysis, live application testing, open-source dependency review, container image checks, leaked-secret detection and infrastructure-config review. Risky changes get stopped before production.
Posture reviews across your cloud estate — identity and least-privilege access, network segmentation, storage exposure, container-platform hardening and benchmark alignment. The misconfiguration nobody meant to leave open, found before someone else finds it.
Red-teaming for AI assistants and autonomous agents: injected instructions, jailbreaks, data leaking through model answers, over-broad permissions, misused tools and poisoned memory. Then the guardrails — checks on what goes in and comes out, an identity per agent, human approval on sensitive actions, and an audit trail for all of it.
Always-on mitigation in front of your applications and APIs — volumetric and application-layer floods, scraping bots, API abuse and rate limiting, credential stuffing and account takeover. Then we load-test it, so an attack becomes an inconvenience instead of an outage.
Round-the-clock visibility, alert triage that separates the signal from the noise your team has learned to ignore, and incident response with runbooks rehearsed before you need them. You hear it from us, not from a customer on social media.
Findings ranked by what an attacker could really do with them and what it would cost you — not by a raw severity score. Fixes delivered as reviewed changes alongside your engineers, then retested until the item is genuinely closed.
Getting you ready for the certifications and audits your customers keep asking about — gap assessment, the policy set, evidence collected as you go, and help drafting answers to inbound security questionnaires so deals stop stalling in procurement.
Threat modelling and architecture review before a line gets written — the cheapest place to fix anything. Plus expert deep-dive code review, and enablement so your developers ship securely by default instead of learning it from an audit.
Also on the table
Engagements we scope regularly, on their own or folded into a wider programme.
How it works
We agree what's in scope, what's off-limits and what an attacker would want most — before anyone touches anything.
Automated coverage goes wide and runs continuously; our experts go deep where judgement beats a tool.
Every finding is validated with a working proof and ranked by real business impact — no false-alarm sprints.
A remediation plan your team can act on, with fixes delivered as reviewed changes beside your engineers.
Checks stay wired into your pipeline, protection stays on at the edge, and we retest and reassess on a rhythm.
Why it matters
The fastest way to lose trust is to find out from your customer.
Years of goodwill, one bad afternoon. We'd rather you heard it from us, in a report, on a Tuesday.
What you get
Every engagement hands over the same six things — one for your board, five for your engineers.
Each issue written up with the exact steps to reproduce it and a working proof, so your team can confirm the problem and confirm the fix.
One page your board and your customers' security teams can actually read — risk, exposure, and what's being done about it.
Ordered by real exploitability and business impact, with effort estimates — so you fix the three that matter this sprint, not thirty that don't.
Where you want us to, we do the remediation work: code and configuration changes raised for your team's review, in your workflow.
We come back and verify. A finding stays open until it's provably gone — and you get the evidence trail that says so.
Automated testing wired into your pipeline and protection live at the edge, so the same class of issue doesn't return the moment we leave.
Good questions
Web applications, APIs, mobile apps, cloud environments and internal networks — tested the way an attacker would approach them, by people rather than a report generator. Alongside that, we wire automated checks into your pipeline so the basics are caught on every single change, not once a year.
A scanner hands you a list of maybes. We prove it. Every finding we report comes with a working demonstration of how it can be exploited and what an attacker would reach, so nobody wastes a sprint on a false alarm — and nobody dismisses the one that actually matters.
Both, and they reinforce each other. We use AI to test far more of your surface, far more often, than a manual engagement could cover. And because we build AI assistants and agents for a living, we also test them — the injected instruction, the leaked record, the permission that was wider than anyone intended.
We fix them. A report alone just moves the problem to your backlog. We hand over a prioritised remediation plan, work the fixes as reviewed changes alongside your engineers, then retest until each finding is genuinely closed.
Very little, by design. We agree the rules of engagement up front — what's in scope, what's off-limits, which windows are safe — and prefer a staging environment for anything intrusive. Destructive techniques stay out unless you explicitly ask for them in a controlled window.
Yes. We put always-on mitigation in front of your applications and APIs for volumetric and application-layer floods, plus defences for scraping bots, API abuse, credential stuffing and account takeover — and we load-test the setup so you know it holds before an attacker checks for you.
Only if you want it to. Testing can run entirely inside your environment on infrastructure you control, under scoped, time-boxed access and an NDA. We keep no copy of your data after an engagement closes, and we'll document exactly what was accessed.
Cybersecurity & AI Security
Point us at the system that keeps you up at night. We'll tell you what an attacker would reach — and then close it.