Penetration testing, Red Team operations and adversary simulation for organisations that need to understand their real security exposure. Security testing built around real attack paths, not automated scans.
Automated scanners identify potential weaknesses. We determine whether those weaknesses can actually be exploited, combined and used to compromise your environment. The distance between a CVE list and a real risk is manual work.
We do not sell fifteen services. We focus on offensive security applied to real production infrastructure and applications.
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The difference is not the number of findings. It is the method behind them and how you can use them.
Scanners cover the surface. The real work is finding what they miss.
We test how an attacker would behave, not a checklist.
A finding without proof of exploitability is a guess. We verify it.
Severity is tied to what actually happens if the weakness is used.
Concrete steps for the people fixing it, not generic recommendations.
We confirm the fixes actually hold.
You talk to the people who did the testing, not an account manager.
Every activity is carried out within a defined, authorised perimeter set by Rules of Engagement agreed before any testing begins.
Define assets, objectives and constraints.
Map the attack surface.
Map services, roles and entry points.
Manual analysis of candidate weaknesses.
Verify exploitability within scope.
Combine weaknesses into real paths.
Collect reproducible evidence.
Findings, severity, impact and narrative.
Support the people fixing it.
Verify the fixed vulnerabilities.
A medium-severity weakness can become critical when combined with other weaknesses. Our assessments focus on complete attack paths, not isolated scanner findings.
An example path. No single weakness reaches the critical asset on its own: it is the chain that makes it reachable.
The report is a central part of the service, not a final attachment. An executive summary for management and reproducible technical findings for the people fixing it, in the same document.
The assessment identified an attack path combining weak access control with improper session handling, impacting user data. .
| Severity | Finding | Asset | CVSS |
|---|---|---|---|
| Critical | Broken access control | api / account | 9.1 |
| High | Session fixation | web / auth | 7.4 |
| Medium | Verbose error exposure | api / core | 5.3 |
| Low | Missing security headers | web / edge | 3.1 |
Initial access -> identifier enumeration -> access to other accounts' resources -> data exposure.
Illustrative preview. All data, names and values are fictional and anonymised.
A distinctive area. Not brochure "AI cybersecurity": security testing of AI applications in production, where the model has access to tools, data and permissions.
The result is a list of findings specific to the application, with impact and concrete hardening, not a list of theoretical AI risks.
Define assets, objectives and rules.
Technical work within the authorised scope.
Delivery of evidence and remediation.
Verification of the fixed vulnerabilities.
Tell us what you want to protect and what the objective is. We respond with next steps, not a generic price list.
We start with a conversation about scope and objectives. No commitment until the scope is clear.
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