Application security that fits how your team ships
Automated checks in your pipeline, human testing against real attack paths, and fixes your engineers can act on — with a re-test to confirm they worked.
Scanners find issues. Fixing them is the hard part.
If you already run a scanner, the hard part is what comes after: someone has to triage the output, tell a real exposure from noise, and show the developer how to fix it in their own stack.
Without that, the list of findings grows and the checks in the pipeline get ignored.
Signs this is you
- Scan results nobody has time to read or prioritise
- Dependencies that haven’t been updated since they were added
- No one has tested the application the way an attacker would
- A customer has asked how you test your application’s security
From the pipeline to the penetration test
Static analysis (SAST) in CI
Code scanning wired into your pull requests, tuned so developers see findings that matter instead of a wall of noise.
Dependency and supply-chain scanning
Known-vulnerable and abandoned libraries caught at build time, with an upgrade path for each.
Dynamic testing (DAST)
Automated testing of your running application on staging, set up to run with your release cycle.
Vulnerability assessment and penetration testing
Manual testing within a scope you authorise in writing: chained weaknesses, logic flaws and access-control gaps that tools miss.
Standards-based review
Web applications against the OWASP Top 10, APIs against the OWASP API Security Top 10, mobile apps against OWASP MASVS.
Secure development practices
Threat modelling, code-review checklists and secrets handling that your team can keep using after we leave.
Security for AI features
Chatbots, assistants and agents bring risks that a standard web test doesn't cover: instructions hidden in the content they read, data they shouldn't reveal, and actions beyond what they're meant to do.
LLM application security review
AI features reviewed against the OWASP Top 10 for LLM applications, including prompt injection, sensitive information disclosure, improper output handling and excessive agency.
AI usage policy
A short, practical policy for your team: which AI tools are approved, what data may go into them, and which outputs need a person to check them.
Model and vendor risk review
How each AI provider stores, retains and trains on your data, where it is processed, and what your fallback is if a model changes or is withdrawn.
For the rules that apply to AI systems, see AI regulation and data protection readiness.
Scope, test, report, fix, re-test
Scope and authorise
We agree what is in and out of scope, the environments, the testing windows and who we call if something breaks. You authorise it in writing.
Test
Automated scanning first, then manual testing against the areas that matter for your business.
Report
Findings ranked by how exploitable they are and how much they matter to your business, each with steps to reproduce and a recommended fix.
Fix and re-test
We support your engineers on the fixes, or make them ourselves, then re-test to confirm each one worked.
Advisory, build or run
Advisory
We assess or test your application and hand you a ranked report and a remediation plan. Your team takes it from there.
Build
We set up the security checks in your pipeline and work with your engineers on the fixes, then re-test.
Run
We stay on to triage scan results as you ship and re-test on a schedule agreed with you.
A report your engineers can act on
- Findings ranked by real risk, with steps to reproduce each one
- Remediation guidance written for your stack, not generic advice
- A short summary for non-technical readers and customer security reviews
- A re-test confirming which fixes held
A test is a point-in-time sample. It reduces risk and gives you evidence; it cannot prove that no vulnerabilities remain.
Is this the right fit?
Teams shipping their own web, API or mobile code without a dedicated security engineer, and companies facing a customer security review. For a fixed-scope first step, see the application security assessment, or all our packages.
Common questions about application security
What is the difference between a vulnerability scan and a penetration test?
A scan is automated and finds known issues quickly and cheaply, which is why we run it continuously in your pipeline. A penetration test adds a person who chains weaknesses together the way an attacker would, including logic flaws a scanner cannot see. We usually recommend both.
Will testing disrupt our live system?
We test against staging or a test environment wherever we can. If something has to be tested in production, we agree the windows, the rate limits and the stop conditions with you first, and we avoid anything destructive.
Do you test systems you have not been authorised to test?
No. We test only systems you own or have authorised us in writing to test. Scope, rules of engagement and testing windows are agreed before any test starts.
Do you issue a certificate that we are secure?
No. You get a report: what we tested, what we found, how serious each finding is for your business, and how to fix it. A test is a point-in-time sample, so it cannot prove that no vulnerabilities remain, and we will not say otherwise.
Can you fix what you find?
Yes. We can hand your engineers a clear remediation plan, work with them on the fixes, or build the fixes ourselves, and we re-test afterwards to confirm each one worked.
Which standards do you test against?
For web applications we work from the OWASP Top 10, for APIs the OWASP API Security Top 10, and for mobile apps the OWASP MASVS. We adapt the scope to what your application actually does.
Do you test AI features such as chatbots and agents?
Yes. We review them against the OWASP Top 10 for LLM applications, including attempts to override their instructions, extract data they shouldn't reveal, or trigger actions beyond what they're meant to do. Testing follows the same written authorisation and scope as any other test.
Can we share the report with our customers?
Yes. The report includes a short summary written for non-technical readers, and our reports can be used as evidence in customer security reviews.
Start with what you are shipping
Tell us what you build and how it reaches users. We’ll suggest what to automate, what is worth a manual test, and what can wait — and if your setup is already in good shape, we’ll say that.