AI and process

Application security

Code and infrastructure protection

Application security protects a system's code, data and infrastructure from breaches and leaks – from dependency updates to HTTP security headers.

What is Application security?

Application security is the set of practices that protects a system's code, data and infrastructure from unauthorised access, data leaks and account takeover. It covers the code itself – input validation, authentication, permissions, up-to-date dependencies – as well as server configuration, HTTP headers, backups and the response to reported vulnerabilities. In e-commerce, what is at stake is customer data, payments and uninterrupted sales.

How we use it at Koda Plus

Dedicated AI security agents scan the code and infrastructure at every stage of a project, and our team signs off changes in code review before they reach production. Under ongoing maintenance we update dependencies in small steps, security patches first, and follow vulnerability advisories for the libraries in use. On our own site the security headers live in the repository, and the contact form is protected by a honeypot and Cloudflare Turnstile. For AI agents that handle customer enquiries we limit the data passed to the model to the minimum a given task needs.

When it makes sense

  • Your shop or wholesale platform handles customer data and payments
  • The system is self-hosted and updates are your responsibility
  • You are taking over a system and do not know the state of its dependencies
  • You are adding integrations or AI agents with access to company data

Frequently asked questions
Application security

  • How do you secure an online shop?

    The basics are regular updates of the platform and its dependencies, strong authentication for the admin panel (ideally two-factor), HTTPS with correct security headers and backups tested by actually restoring them. Add bot protection on forms and limit integration permissions to what they genuinely need.

  • Is open-source e-commerce less secure than SaaS?

    Not by definition. With SaaS the provider takes on part of the work, while self-hosting means updates, backups and monitoring have to be planned, ideally in a maintenance agreement. In return, open code can be audited independently, and vulnerabilities in popular projects are reported and patched in public.

  • Is AI-generated code secure?

    Not automatically. A model can suggest an outdated pattern, skip a permissions check or pull in an unnecessary, vulnerable or even non-existent package, so AI-written code needs the same scrutiny as code written by a person. In our process security agents check it, and our team decides what ships.

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