Application Security

Find it in the pull request, not in the breach report.

Application Security builds protection into how your software is designed, written, and shipped — threat modelling before the first line, scanning in every pipeline run, testing against the attacks that actually happen, and monitoring once it is live. Your team keeps shipping; the findings arrive as tickets, not as headlines.

What it does

Most application vulnerabilities are not exotic. They are the same dozen mistakes — an unvalidated input, a dependency nobody updated, a secret committed by accident, an authorisation check that trusts the client — made under deadline pressure by good engineers who were never shown where the edges are. Finding them after release costs ten times what it costs to find them in review, and finding them after an attacker does costs the company.

We move the discovery earlier. Threat modelling happens at design time, when changing an architecture is cheap. Static analysis, dependency checks, and secrets scanning run on every commit and fail the build on what matters. Penetration testers work against the real application on a schedule, and runtime monitoring watches for abuse in production. Along the way your engineers learn the patterns, so the same class of bug stops appearing.

Capabilities

Threat modelling at design time

Before a feature is built, we map its trust boundaries, data flows, and abuse cases with your engineers. Risks are ranked and mitigations are written into the design, where they cost almost nothing.

Scanning inside the pipeline

Static analysis, software-composition analysis, and infrastructure-as-code checks run on every pull request. Findings are triaged against your codebase so the build fails on real problems, not on noise.

Secrets detection and rotation

Credentials, tokens, and keys are caught before they land in a repository, and anything already exposed in history is found, rotated, and removed with a documented trail.

Penetration testing that mirrors real attacks

Manual testing of web applications, mobile apps, and APIs against authentication, authorisation, injection, and business-logic flaws. Every finding comes with a reproduction and a fix, not just a severity.

Runtime protection and abuse monitoring

Once live, the application is watched for credential stuffing, scraping, enumeration, and anomalous behaviour, with protections that adapt without blocking legitimate users.

Secure-coding enablement

Hands-on sessions built from your own findings, secure defaults baked into your frameworks and templates, and review checklists your team actually uses. The goal is fewer findings next quarter.

Frameworks we work against

Findings are mapped to recognised taxonomies so your team, your auditors, and your customers all read the same severity the same way.

OWASP Top 10 & ASVS
The baseline for web application risk and the verification standard we test and report against.
OWASP API Security Top 10
Broken object-level authorisation, excessive data exposure, and the other failures specific to APIs.
CWE
Every finding carries its Common Weakness Enumeration identifier so it maps cleanly into your tracking and metrics.
SLSA
Supply-chain integrity levels for how your artefacts are built, signed, and verified from source to deployment.
SBOM
Software bills of materials in CycloneDX or SPDX for every release, so you know what is in it when the next dependency advisory lands.
PCI DSS
Requirement 6 secure-development controls and application testing where payment card data is in scope.

Why teams bring us in

Every fix has a ticket, not a slide deck

Findings arrive in your issue tracker with a reproduction, an owner, and a suggested fix. The report exists, but nobody has to read it to know what to do on Monday.

Shift left without slowing down

Pipeline checks are tuned to your code so they fail fast on real issues and stay quiet otherwise. Security becomes part of the review, not a gate at the end of the sprint.

Your engineers leave better than we found them

The enablement work is not a training video. It is your findings, your frameworks, and your patterns — so the same category of bug stops being written.

Start with the application you are most worried about.

Give us read access and a staging environment. Within two weeks you will have a prioritised findings list, a pipeline that catches the next one, and a plan for the rest.