Secure web development training

Practical secure development training, with a 12-month AI pedagogical assistant available after the course.

Security throughout the project

The training helps developers integrate security from specifications to deployment, not only memorize a vulnerability list.

Participants manipulate weaknesses, understand their impact and learn to correct them properly through practical exercises and a CTF-style consolidation phase.

The objective is to build reflexes that remain useful in real projects: design choices, code reviews, dependencies, deployment and communication with security stakeholders.

The course remains operational: examples, exercises and debriefs are connected to delivery pressure, legacy constraints, team practices and the need to make secure choices without blocking every project discussion.

It can also highlight recurring mistakes already observed during audits so the training speaks directly to the team’s real risk patterns.

Two-day practical format

Day 1

Useful theory, practical exercises and secure development reflexes: inputs, outputs, sessions, authorization, secrets and error handling.

Day 2

CTF format to consolidate learning: search, exploit, understand and correct vulnerabilities in realistic scenarios.

Developer-oriented

The course speaks to code, architecture, dependencies, reviews, deadlines and delivery constraints.

Reliable references

  • OWASP Top 10 for common web vulnerability families
  • OWASP Cheat Sheet Series for remediation practices
  • OWASP Web Security Testing Guide to connect testing and development
  • Security by design and project security practices

Habits that remain after training

Design reflexes

Limit trust, identify sensitive flows, anticipate abuse cases and avoid insecure defaults.

Code reflexes

Validate inputs, encode outputs, protect secrets, handle errors and keep dependencies under control.

Review reflexes

Ask better questions during pull requests and technical design discussions.

12-month AI assistant

A pedagogical AI assistant can help learners apply the notions to real projects over time, adapted to the client’s technologies and grounded in reliable secure-development sources.

Who it helps

Developers

Understand concrete risks without turning the course into abstract compliance.

Tech leads

Improve review habits and architectural decisions.

Product teams

Better anticipate security constraints before they become late blockers.

Making the training useful on real projects

Before the course

The program can be adjusted according to the stack, maturity, recurring vulnerabilities and the type of applications developed by the team.

During exercises

Participants do not only exploit weaknesses; they also discuss why the code was vulnerable and which correction is robust enough in practice.

After the course

The 12-month AI pedagogical assistant helps learners revisit concepts, ask implementation questions and keep a security reflex during real delivery work.

Review rituals

The content can be converted into review questions for pull requests, architecture discussions and acceptance criteria before a feature reaches production.

Security dialogue

Developers, product owners and security stakeholders gain a common vocabulary to discuss trade-offs without reducing security to late blocking comments.

Complementary audit

A source code audit or web penetration test can later verify whether the team’s practices are improving on concrete applications.