Testing that starts from a system, or from a harm you're worried about
We assess vulnerabilities, exploit conditions and impact.
We look broadly for vulnerabilities in the systems and services you choose, and our experts confirm which paths can really be exploited and what they would mean for the business. Where a condition must always hold, such as one customer's data never showing to another, we design the test around it and check the paths that could break it.
Can our vulnerabilities really be exploited, and do our key protections actually hold?
We verify when problems occur and what their real impact is, and set out how to improve.
Reviewed
The two differ in where they start: from a system to test, or from a harm you're worried about.
Vulnerability assessment and penetration testing across a defined system or service
Can the vulnerabilities in this system actually be exploited?
We look broadly across the agreed systems and services for vulnerabilities and misconfigurations, then chain weaknesses as an attacker would to see how far they really lead and what that means for the business. Every finding is confirmed by an expert.
Built around a specific protection goal
Can the harm we worry about actually happen?
We start from a harm you're worried about, such as coupon or points abuse, a tampered app, leaked personal data or one client seeing another's data, or from a condition that must always hold, and design and test the paths that lead there.
The two work together: VAPT looks broadly across a target, then bespoke validation goes deep on the harm that worries you most. Where to start is something we decide with you. Every service can be contracted on its own or combined with others.
Red-team work, which looks at how your organisation prevents, detects and responds under a realistic attack, is scoped separately to suit the engagement. Red Teaming & Resilience Testing
Each target has its own structure and its own ways of being attacked, so what we check, how, and which specialists take part are set for the target. Real attacks travel along the connections between targets, so we look at where they join as well.
Customer-facing web services and apps, with the APIs and admin screens behind them, tested as one service. Sign-in, access rights and business flows such as ordering and payment come first.
Where your organisation's accounts and privileges meet. We look at privilege escalation paths, service accounts, and how accounts follow people joining, moving and leaving.
From services and admin consoles exposed to the internet to network segmentation, cloud permissions (IAM), keys and secrets, and container and Kubernetes environments.
The access an agent holds across mail, calendars, internal systems and outside tools, where human approval must come in, and whether outside input can steer it.
In chatbots, retrieval-augmented answers (RAG) and summaries: prompt injection, exposure of system prompts and sensitive data, and the permissions on the documents it retrieves.
The boundary between control and business networks, remote access paths, and controllers such as PLCs and their firmware themselves. We settle the method first so running equipment is not affected.
Connected devices in shops, homes and the field: their firmware and hardware interfaces, the links between device, app and cloud, and how updates are delivered.
In clusters used to train and serve models: schedulers and management interfaces, isolation between users and teams, and permissions on shared storage and model files.
When we start from a harm, each field has its own designed checks. Fields can be combined, and we design for concerns not listed here too.
Can business rules such as coupons, points, refunds or bookings be used outside the normal procedure for gain?
If someone analyses our app, how easily do its core logic and security features show, and can they be modified or bypassed?
Where does personal and sensitive data stay, and where could it leak?
Is what we believe is separated really isolated, and is there any way for critical material to leave?
In a service many client companies share, can one company's data or functions cross over to another?
Does an AI agent or a newly adopted architecture actually stay inside the lines we have set?
Both services begin with the goal, scope and safety conditions agreed in writing.
Agree the goal and scope
The target or the condition to test, how much you share with us (black, grey or white box), what is allowed and what is not, and when to stop.
Prepare
Test accounts for each role and the environment, a contact for the test period and, on live systems, the hours when testing can run.
Test and validate
Tools and AI agents cover the ground; experts analyse by hand and safely confirm what can really be exploited.
Report and explain
Findings, real impact, evidence and fixes, explained both to decision-makers and to the technical team.
Re-test after fixes
If agreed, we check the fixes again the same way.
Keeping it safeTests that could affect a service run only if agreed beforehand, and if anything looks wrong we stop by the agreed rule and tell your contact. How data and evidence are kept and destroyed is settled before we start.
From what was checked and under which conditions, to the real impact of each finding, its evidence, and the order to fix things.
The targets, conditions and account access tested, and what this round did not cover, stated plainly.
Whether each finding can really be exploited and what it would mean for the business, with confirmed facts kept apart from signs that need a closer look.
The steps, conditions and evidence needed to confirm each result again.
What to fix first and how, by how exploitable each issue is and what it would affect.
Bespoke validation adds, for each scenario, whether it was stopped or got through and under which conditions. Results do not replace a certification audit or legal advice, and a re-test after fixes is agreed separately.
Related research: Offensive Engineering (EXPLOIT) — We research ways to analyse and verify vulnerabilities and their impact from an attacker's perspective.
