Secure Code Warrior launches trust agent for AI

Secure Code Warrior

By Dylan Bushell-Embling
Friday, 20 March, 2026

Secure Code Warrior launches trust agent for AI

AI software governance and training platform provider Secure Code Warrior has launched a governance solution designed to make AI-generated code visible at the commit stage.

SCW Trust Agent: AI aims to enable enterprises to scale AI coding tools while maintaining control over software risk. Organisations can use the platform to trace which AI models influenced specific commits, correlate that influence to vulnerability exposure, and plug any security gaps before insecure code can reach production.

Organisations can maintain a verifiable record of which LLMs influenced specific commits, evaluate models and enforce approved AI usage policies based on security benchmark data, and track which model context protocol servers are installed and active.

According to Sonar’s 2026 State of Code Developer Survey, 72% of developers report using AI coding tools in their development processes every day. But most enterprises lack visibility into how the tools influence production code. Gartner predicts that by the end of the year, at least 80% of unauthorised AI transactions will result from internal policy violations rather than malicious attacks.

Secure Code Warrior co-founder and CEO Pieter Danhieux said the platform enables organisations to gain measurable control over software risk while reinforcing secure coding behaviour across both human and AI-generated code.

“CW Trust Agent: AI provides organisations the quantitative pathway to effectively measure the risk posture of their development environment in the AI era, whether the contributing ‘developer’ is human or AI,” he said.

“Beginning with comprehensive observability and traceability of AI-generated coding, MCP and AI tool usage, SCW Trust Agent: AI creates a foundation for more effective, adaptive learning that hones in with precision on the most relevant areas and fundamentally changes behaviour among development teams, offsetting the introduction of AI-enabled vulnerabilities over time.”

Image credit: iStock.com/imaginima

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