AppSec · DevSecOps · AI-generated code

Your team writes code with AI. We make sure it isn't born insecure.

Continuous AppSec for companies that sped up with Copilot, Cursor and ChatGPT: secure code review, SAST, DAST and SCA on every pull request and a merge-blocking policy, with governance for ISO 27001, SOC 2 and data privacy. Plus pentesting with retest to validate what your pipeline can't see.

AI-generated code reviewed SAST, DAST and SCA on every PR Merge blocked on criticals ISO 27001, SOC 2, privacy Pentest with retest
Flaws stopped at the PR
Vulnerabilities are caught in the pull request, before merge, not months later in a pentest report.
Security that scales with your team
Pipeline automation plus expert triage: hundreds of developers and PRs a day without becoming a bottleneck.
Governance auditors accept
Secure development policies, metrics and evidence for ISO 27001, SOC 2, PCI DSS and privacy laws.
Real flaws, not noise
Every finding validated by a specialist, with severity, impact and fix. No raw scanner dumps.
Signs it is time

When code is born insecure faster than anyone can review it

The situations that most often bring mid-size and large companies to us in 2026.

AI is generating insecure code every week

Copilot, Cursor and ChatGPT multiplied code volume, and with it came hardcoded secrets, SQL injection, vulnerable dependencies and unvalidated input. Speed went up, and so did the flaws.

The same flaws come back every release

The pentest flags it, the team fixes it and, three sprints later, the same class of vulnerability shows up in another service.

Security that doesn't scale with the team

A handful of AppSec specialists for hundreds of developers and dozens of PRs a day. Review becomes a bottleneck or simply doesn't happen.

Scanner reports nobody reads

A tool you paid for, hundreds of alerts, plenty of false positives, and a team ignoring all of it to keep shipping.

Governance and compliance pressure

ISO 27001, SOC 2, PCI DSS, privacy laws or your customer's security team want evidence of continuous secure development, not just a yearly report.

A pentest once a year, deploys every day

The report shows your application as it was months ago. Since then, thousands of new lines went in, many AI-generated, with nobody looking.

Services

Continuous code security, from prompt to deploy

We catch the flaw in the pull request, before it reaches production, and use pentesting to validate what only an attacker would see.

Security for AI-generated code

Analysis rules tuned to the mistakes coding assistants make most, secret scanning, input validation checks and review of PRs written with Copilot, Cursor or ChatGPT before merge.

Continuous AppSec in CI/CD

SAST, DAST, SCA and secret scanning on every pull request, with a merge-blocking policy for critical and high flaws and triage handled by our team, so developers get signal, not noise.

Secure code review

Specialists reviewing critical flows and the riskiest PRs, such as authentication, authorization, payments and uploads, with fixes suggested right in the code.

Managed AppSec program

Devskin as your ongoing application security partner: threat modeling, a vulnerability backlog with remediation SLAs, per-squad metrics and reporting to your CISO and board.

Governance and compliance

A secure development policy, an evidence trail for ISO 27001, SOC 2, PCI DSS and privacy laws, and controls that auditors and enterprise customers can verify.

Supply chain and dependencies

SCA with a software bill of materials (SBOM), blocking vulnerable or malicious packages, including ones AI suggests that don't even exist, and upgrades prioritized by real risk.

Web, API and mobile pentest

Manual exploitation based on the OWASP Top 10, API Security Top 10 and MASVS, executive and technical reports and retest included. It validates what the pipeline misses, like business logic flaws.

Infrastructure and cloud pentest

External and internal network testing and review of IAM, networks, buckets, keys and secrets across AWS, Google Cloud and Azure.

Secure coding and safe AI use

Developer training built on the flaws found in your own code, plus a guide to using AI assistants safely: what to ask for, what to review and what never to paste into a prompt.

Method

From assessment to a running AppSec program

Pipeline controls first, governance and pentesting next. Your team keeps shipping at the same speed.

1Assessment

AppSec assessment

Repositories, pipeline, AI use in development, current tools, flaw history and compliance requirements.

Risk map per application
2Proposal

Program and proposal

Controls, tools, remediation SLAs and contract model, sent within 48h of the first call.

Scope, SLA and price agreed
3Pipeline

Security in CI/CD

SAST, DAST, SCA and secret scanning wired into the pipeline and tuned to cut false positives.

Analysis running on every PR
4Policy

Merge blocking

A merge policy for critical and high flaws, with approved and logged exceptions, and review of the riskiest PRs.

No criticals reach production
5Pentest

Pentest and validation

Manual exploitation of what automation misses, such as business logic and access control, with retest included.

Findings validated and closed
6Governance

Metrics and governance

Per-squad dashboard, mean time to remediate, audit evidence and recurring reporting to your CISO and leadership.

Security posture measured monthly
Continuous security

A pentest is a snapshot. Your pipeline guards every release.

With AI, thousands of new lines land every week, and a yearly penetration test can't keep up. We bring SAST, DAST, SCA and secret scanning to every pull request, block the merge when a serious flaw appears and show leadership the security posture of each squad.

  • AI-generated code analyzed on every pull request, before merge
  • Merge blocked when a critical or high flaw shows up
  • Secrets, vulnerable dependencies and AI-hallucinated packages blocked
  • Vulnerability backlog and mean time to remediate per squad
  • Evidence for ISO 27001, SOC 2 and privacy, integrated with the 24/7 SOC
AppSec · 42 repositories Monitored
0%Blocked at PR
PRs with security analysis100%
Criticals fixed within SLA96%
Squads with merge policy88%
PRs analyzed this month3.2k
Criticals in production0
Mean time to remediate48h
Hardcoded API key in a PR written with an AI assistant (#482): merge blocked and key revoked.
Illustrative dashboard
Quick brief

Tell us how your team builds software in 1 minute

Pick the options, leave your contact and the brief goes by email straight to a specialist. Do not include passwords, code or sensitive data here: that comes later.

What do you need?select all that apply
Why now?
Engineering team size
Your details
Rather talk now? Message us on WhatsApp.
FAQ

AppSec, AI-generated code and pentest FAQ

Coding assistants learn from lots of public code, including insecure patterns, and confidently write what looks right: secrets in code, queries built by string concatenation, unvalidated input and outdated or even nonexistent dependencies. The bigger problem is volume: the team produces more code than it can review. That is why security has to run on every pull request, not just in a yearly pentest.
Both. For companies shipping every day, we recommend a continuous AppSec program on a recurring contract: CI/CD security, code review, a vulnerability backlog with SLAs and metrics for leadership, with periodic pentests included. If what you need right now is a pentest report for a client or audit, we also do it as a one-off project, retest included.
It shouldn't. We tune the rules to cut false positives, run analysis in parallel with the build and only block the merge for critical and high flaws, with an approved and logged exception flow. Everything else becomes a prioritized backlog that doesn't stall delivery.
Yes. Secure development controls produce the evidence these standards ask for: review policy, logged analysis, remediation times and pentest results. They don't replace legal counsel or the certification body, but they get the technical side audit-ready. For 24/7 monitoring and incident response, see our NOC and SOC.
For the continuous program, it depends on the number of repositories and applications, team size, the tools you already have and the remediation SLA. For a one-off pentest, on the test type, number of screens, endpoints and roles, and the approach (black, gray or white box). Either way, you get fixed scope and price within 48h of the first call.
A scanner without triage turns into noise, and teams learn to ignore the alerts. We tune the rules, validate findings and cover what no tool understands, like one user reading another user's data. If you already have tools, we build on them.
Repository access is the minimum needed, defined and revocable by you, and your code is never used to train models. Findings are confidential and shared only with the contacts you designate. We sign a nondisclosure agreement before starting.
Testing follows rules of engagement agreed in advance: targets, time windows, emergency contacts and what must not be run. More aggressive tests, such as exploits that change data, can be done in staging. Retesting fixed findings is included.
Send the brief or message us on WhatsApp. In a technical call we cover your team, pipeline, AI use and compliance requirements. Within 48h you get the proposal. If AI is also part of your product, AI testing and AI consulting complete the picture.