How are SecureFlag labs different from video-based training?

Our hands-on labs are live development environments where developers write, fix, and review code, including code generated by AI assistants. Instead of watching videos, developers work in actual IDEs, terminals, and cloud consoles, building muscle memory that transfers directly to production work. The same applies to challenge-based platforms: see SecureFlag vs Secure Code Warrior .

How often is lab content updated?

Labs are updated continuously to reflect new attack techniques, emerging frameworks, and evolving security standards. When a new vulnerability type or framework update is released, we add or update labs to keep training current.

Can we create custom labs for our internal tools or tech stack?

Yes. SecureFlag's Custom Lab Builder lets you create fully tailored training environments that reflect your specific tech stack, internal tools, and real-world security scenarios. Custom labs integrate seamlessly with the rest of the platform.

Do labs work for teams with mixed skill levels?

Yes. Labs are organized by difficulty level (beginner, intermediate, advanced) and tagged by role, technology, and vulnerability type. Adaptive training paths automatically adjust based on competency scores, so each developer gets the right challenge level.

How do learning paths differ from individual labs?

Learning paths combine labs with knowledge base articles, videos, and assessments into complete training programs mapped to specific frameworks (OWASP Top 10, PCI DSS, ASVS, AI-Assisted Development, etc.). They provide structured progression and certifications, while individual labs can be assigned for just-in-time remediation training. The PCI DSS learning path is built around Requirement 6.2.2: see PCI DSS compliance training .

Are labs technology-specific or framework-agnostic?

Both! SecureFlag offers technology-specific labs for 70+ programming languages, frameworks, and technologies, as well as pseudocode labs that teach security concepts without requiring coding knowledge—ideal for non-technical stakeholders.

Book a demo

Interactive secure coding training

Secure coding and code review labs

Most security training doesn't change how developers write code. Labs that put developers in real environments do, including when the code comes from an AI assistant.

Request a free trial Download labs catalog

Trusted by enterprise security and engineering teams

Not all security training is
created equal

A side-by-side comparison of modern cybersecurity education versus conventional awareness programs. For a vendor-by-vendor view, see the best secure coding training platforms in 2026.

Side-by-side comparison of SecureFlag Labs against video-based training and generic CBT/LMS across learning format, technology coverage, content freshness, skill-level adaptation, AI security coverage, evidence of skill, and custom environments.

The basics

Build secure coding skills
through practice, not theory

Secure coding is more than a best practice—it is a proactive approach to reducing vulnerabilities, protecting sensitive data, and building resilient software from the ground up. Practicing in real code is what helps teams reduce developer risk, because the skills built in a lab carry straight into production.

Train in real development environments

SecureFlag's Labs aren't videos, slide decks, or multiple-choice quizzes. They're not in-browser IDEs or simulations, either. SecureFlag is the only platform that virtualizes a full computer—a real, live environment where developers write, test, and fix actual code using the exact tools and frameworks from their daily work: modern IDEs, cloud platforms, CI/CD pipelines, and AI coding assistants. Developers train in the same AI-assisted workflow they ship in.

Extensive secure coding
training coverage

From design to deployment, SecureFlag delivers comprehensive security training across the SDLC, equipping teams to build securely in AI-assisted development environments.

Download labs guide

AI security & secure coding

Training for LLM vulnerabilities, prompt injection, agentic AI risks, Model Context Protocol (MCP) security, and vibe coding practices.

Infrastructure & DevOps

Secure configuration and hardening for Docker, Kubernetes, Linux servers, and CI/CD pipelines.

Cloud security

Real cloud accounts for AWS, Azure, and GCP training with CloudFormation, Terraform, Bicep, and ARM templates.

QA security testing

Teach QA engineers to write security regression tests using Selenium, Postman, and Python.

Threat modeling

Hands-on threat modeling training to identify threats, draw trust boundaries, and embed security into design.

Code review

Spot vulnerabilities in static code review—including AI-generated code—and distinguish real security flaws from false positives.

Pseudocode

Security fundamentals for non-technical audiences using pseudocode to explain vulnerabilities without requiring coding knowledge.

Custom

Build fully custom training environments tailored to your tech stack, internal tools, and real-world security scenarios.

Catch it before the merge

Code review labs for human and AI-generated code

A pull request can pass every test and code review and still ship a vulnerability. SecureFlag's code review labs train developers to spot the flaw in the diff, whether a teammate wrote the code or an AI assistant did.

Review AI-generated code

Read code an AI assistant wrote and find what it got wrong: inadequate input validation, missing authorization checks, unsafe defaults.

Real flaws, not false positives

Learn to tell a real security flaw from a false positive, so review time goes to the issues that would reach production.

Practice on live code

Review vulnerable code in a live environment, identify flaws that need fixing, then practice remediation in secure coding labs.

See how code review fits a secure coding training program

Built for your stack

Supported technologies

Train in the exact languages and frameworks your teams ship in— application, frontend, mobile, DevOps, and AI—so secure coding skills transfer straight to production code.

Java

.NET

Node.js

Scala

PHP

Python

Ruby

C++

Kotlin

TypeScript

COBOL

Pseudocode

Smart Contracts

ABAP

Apex

Haskell

AI security training

Comprehensive AI lab catalog

As AI adoption accelerates, so do the security risks. SecureFlag delivers hands-on training for AI-specific vulnerabilities.

LLM Security

Train developers to identify and mitigate vulnerabilities in large language model applications—covering OWASP Top 10 for LLMs, model manipulation, and insecure outputs.

Agentic AI

Secure autonomous AI agents that interact with external systems—teaching developers to prevent privilege escalation, data leakage, and unintended actions.

Model Context Protocol (MCP)

Hands-on training for securing MCP integrations—covering authentication, data exposure, and safe tool invocation in AI-powered workflows.

Prompt Injection

Learn to detect and defend against prompt injection attacks—including direct injection, indirect injection, and jailbreaking techniques.

Vibe Coding

Train developers to write secure code when working with AI-assisted coding tools—covering prompt crafting, output validation, and secure-by-design practices.

Structured training programs

Complete
learning journeys

Our training is structured into learning paths that combine hands-on labs, knowledge base articles, videos, and assessments. Each path guides developers through a specific security topic with clear progression and certification—covering standards such as OWASP Top 10, PCI DSS, HIPAA, ISO 27001, and ASVS—while addressing secure coding in agentic coding and AI-assisted development.

Learning paths are continuously updated to reflect evolving threats, keeping developers current without full retraining. Certifications renew annually through targeted refreshers, ensuring skills remain sharp and audit-ready in an AI-driven landscape.

Download training catalog

Proven impact

What enterprise
leaders are saying

SecureFlag helps global engineering and security teams reduce vulnerabilities and build secure software faster.

Rated4.8/5on G2

“The actual labs separated SecureFlag from other contestants; developers solve real code in real virtual environments.”

AppSec

Not disclosed

Shift security left and prove it

Reduce vulnerabilities across your organization with role-based secure coding training and automated threat modeling that deliver measurable outcomes and audit-ready certification.

Book a demo View pricing

Frequently
asked questions

Whether you're curious, confused, or just want the quick facts, our FAQ section is here to help you find what you need—fast, clear, and hassle-free.

Yes. Each lab virtualizes a full computer, so developers can write, test, and fix code in a real IDE using the tools they work with, including frameworks, terminals, and cloud consoles. Teams can also launch labs from Jira, GitHub, GitLab, and Azure Boards, or through an AI coding assistant using SecureFlag's MCP server.