Secure Code Warrior Launches Industry-First AI Traceability to Enable Secure Developers and Supercharge Safe Productivity

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SYDNEY--(BUSINESS WIRE)--Sep 24, 2025--

Secure Code Warrior, the industry leader in Developer Risk Management (DRM), today announced the launch of a beta program for a major expansion of AI capabilities within its Trust Agent product. The new offering is an industry-first, providing CISOs with security traceability, visibility and governance over developers’ use of AI coding tools. This powerful upgrade, collectively referred to as Trust Agent: AI, leverages a unique combination of key signals, including AI coding tool usage, vulnerability data, code commit data and developer secure coding skills, to provide unparalleled visibility into how AI development tools are impacting risk within the software development lifecycle (SDLC).

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Trust Agent: AI dashboard

Security leaders lack visibility into which AI coding tools–not to mention which LLM is powering them–are being used by developers, how much application code is being generated by AI and whether developers have the right skills to identify and remediate vulnerabilities within AI-generated code. In an increasingly fraught digital landscape where LLMs can not just produce insecure code, but also produce biased coding outcomes, trust and traceability of this technology must be a chief priority among CISOs, and Trust Agent: AI provides the deep insights needed to rapidly modernize an AI-augmented security program to withstand existing and emerging threats.

Trust Agent: AI is the first solution of its kind to evaluate the relationship between the developer, the models they use–including the vulnerabilities they introduce–and the actual repository where AI-generated code is being committed. General availability is expected in 2026, but an early access list for the beta program is available today.

“AI allows developers to generate code at a speed we’ve never seen before,” said Pieter Danhieux, Secure Code Warrior Co-Founder & CEO. “However, using the wrong LLM by a security-unaware developer, the 10x increase in code velocity will introduce 10x the amount of vulnerabilities and technical debt. Trust Agent: AI produces the data needed to plug knowledge gaps, filter security-proficient developers to the most sensitive projects, and, importantly, monitor and approve the AI tools they use throughout the day. We’re dedicated to helping organizations prevent uncontrolled use of AI on software and product security.”

With Trust Agent: AI, Secure Code Warrior offers deep observability of AI coding tools and LLMs used across an enterprise’s entire codebase. The solution also offers integrated governance at scale through:

• Identification of unapproved LLMs, including visibility into the actual vulnerabilities LLMs introduce
• Flexible policy controls to log, warn or block pull requests from developers using unsanctioned tools, or developers with insufficient secure coding knowledge
• Output analysis that surveys how much code is AI-generated and where it's located across repositories

About Secure Code Warrior

Secure Code Warrior is a leader in developer risk management helping organizations strengthen their developer teams’ security and risk management competencies. We do this by providing the world’s leading agile learning platform that delivers the most effective secure coding solution for developers to learn, apply, and retain software security principles. More than 600 enterprises trust Secure Code Warrior to implement agile learning security programs and ensure the applications they release are free of vulnerabilities.

Learn more at securecodewarrior.com.

View source version on businesswire.com:https://www.businesswire.com/news/home/20250924624230/en/

Andrea Brusig, [email protected]

KEYWORD: IRELAND AUSTRALIA/OCEANIA UNITED KINGDOM AUSTRALIA ASIA PACIFIC EUROPE

INDUSTRY KEYWORD: APPS/APPLICATIONS TECHNOLOGY SECURITY OTHER TECHNOLOGY SOFTWARE TRAINING DATA MANAGEMENT EDUCATION ARTIFICIAL INTELLIGENCE

SOURCE: Secure Code Warrior

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PUB: 09/24/2025 09:00 AM/DISC: 09/24/2025 08:59 AM

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