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Offensive · Application Security

Security built into the way your team ships.

We review code and design with your engineers, find the flaws scanners miss, and leave behind threat models, guardrails and habits that keep new code safe.

Typical length
2–4 weeks
Languages
Most mainstream stacks
Standards
OWASP ASVS, SAMM

Simulated environment, real workflow.

Scope

What we cover.

Pick what matters for this engagement. We help you scope it in the first call.

Secure code review

Manual review of authentication, authorization, crypto and data handling, guided by tooling.

Threat modeling

Data-flow diagrams and abuse cases for new features, before they are built.

Architecture review

Trust boundaries, service-to-service auth, secrets and multi-tenant isolation.

Secure SDLC / DevSecOps

SAST, SCA, secrets scanning, SBOMs and policy gates tuned to your pipeline.

AI coding assistants

Safe use of coding assistants and agents: review of AI-written code, repo and secret exposure, and agent permissions in CI.

Developer training

Hands-on sessions built from the flaws we found in your own code.

Methodology

How the engagement runs.

  1. 01

    Walkthrough

    Your engineers show us the system, the riskiest flows and what changed recently.

    Output: Walkthrough notes

  2. 02

    Threat model

    We map assets, trust boundaries and the attacks that matter most.

    Output: Threat model

  3. 03

    Review

    Targeted manual review of high-risk code paths, backed by tuned scanners.

    Output: Code findings

  4. 04

    Fix together

    Findings come as pull-request-ready guidance; we pair on the hard ones.

    Output: Fix pull requests

  5. 05

    Embed

    Guardrails go into CI so the same class of bug cannot ship again.

    Output: CI guardrails

Guardrails that stop the bug class, not one bug.

Every finding ends in a rule in your pipeline, so the same mistake can't ship twice.

Simulated environment, real workflow.

Remediation

Fixes get faster when the rule ships with the finding.

Each guardrail turns a fix into a check, so repeat findings drop out and the time from report to verified fix keeps falling.

Mean time to remediate critical findingsHours from report to verified fix, per month.
Mean time to remediate critical findings (Simulated environment, real workflow.)
PeriodValue (h)
Jan38.0
Feb31.0
Mar27.0
Apr19.0
May15.0
Jun11.0
Jul9.0
Aug6.5

Simulated environment, real workflow.

Deliverables

What you walk away with.

Written for the engineers who fix things and the leaders who fund them.

  • Named lead for the whole engagement
  • Critical issues flagged the same day
  • Retest included
How we work
01

Findings with code references

File, line, impact and a suggested patch for each issue.

02

Threat models

Diagrams and abuse cases your team can keep updating.

03

Pipeline guardrails

Tuned scanner rules and CI policy gates, committed to your repo.

04

Team training

Sessions built from your codebase, recorded for new hires.

FAQ

Questions we hear most.

Do you need access to our source code?

For code review, yes, read-only. We can work in your environment or on a secured copy.

How is this different from a pentest?

A pentest attacks the running system from outside. AppSec review reads the code and design, so it finds flaws a black-box test cannot reach.

Will you slow our releases down?

No. Guardrails are tuned for low noise, and we agree which findings block a release before turning anything on.

Which languages do you cover?

Most mainstream web, mobile and backend stacks.

Scope your Application Security engagement.

A 30-minute call with a senior practitioner. You leave with a scope, a timeline and a fixed quote.