London — Developer Security Enablement Platform provider SecureFlag, a leader in secure coding training, launched its AI-Assisted Development Labs, a new hands-on training solution designed to help developers safely integrate AI coding assistants into their workflows.
AI-powered coding tools such as GitHub Copilot, Claude, and ChatGPT are rapidly transforming how software is built, with over 80% of developers worldwide using AI tools in their work according to the Stack Overflow 2025 Developer Survey. Cybersecurity reports found that up to 45% of AI-generated code contains security vulnerabilities, including context-specific risks and the replication of insecure patterns. As AI produces more code than a developer can realistically review manually, vulnerabilities can multiply across an expanding attack surface.
SecureFlag’s AI-Assisted Development Labs directly address these risks by training developers to critically assess AI outputs and apply secure coding practices throughout the software development lifecycle. Focused on real-world scenarios and tools already used by development teams, the key learning outcomes include:
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Producing secure code when prompting and guiding AI assistants
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Reviewing and validating AI-generated code to identify security issues
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Integrating AI assistants into the SDLC, enabling interaction with security tools such as Static Application Security Testing (SAST) scanners for vulnerability remediation
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Building secure automations, including custom skills, agents, and Model Context Protocol (MCP) integrations
“Developers are no longer just writing code—they are directing AI systems. Our new labs ensure they can do so with security at the forefront,” said Emilio Pinna, CTO at SecureFlag.
The launch of AI-Assisted Development Labs builds on SecureFlag’s established approach to hands-on, developer-focused training based on realistic attack scenarios. As organizations continue to adopt AI-driven development, the company aims to ensure that security remains a core consideration.
The first labs are now available with new content already on the way. To learn more or request a demo of the AI-Assisted Development Labs, visit secureflag.com
