Secure Code Warrior has launched a beta programme for Trust Agent: AI, a revolutionary platform providing enterprise security leaders with real-time oversight and governance of AI-generated code and developer security competencies, addressing growing concerns over vulnerabilities in AI-driven software development.
Secure Code Warrior has launched a beta programme for expanded AI capabilities within its Trust Agent product, aimed at giving chief information security officers (CISOs) enhanced traceability, visibility, and governance over how developers use AI coding tools. This upgrade, branded Trust Agent: AI, integrates multiple data signals—from AI coding tool usage and vulnerabilities to code commit activity and developer secure coding skills—to provide security leaders with a comprehensive understanding of the risks introduced by artificial intelligence during the software development lifecycle.
The introduction of large language models (LLMs) has revolutionised code generation speed, yet it has also raised significant security concerns. Current industry tools often fail to monitor which AI coding solutions developers use or how much code AI generates unchecked, leaving unknown vulnerabilities and potential biases embedded in software. Secure Code Warrior co-founder and CEO Pieter Danhieux emphasised this risk, stating that “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.” He highlighted how Trust Agent: AI aims to fill this gap by providing the data needed to filter security-proficient developers for sensitive projects while monitoring and managing the AI tools used throughout the day.
Trust Agent: AI is notable as the first solution designed to map the dynamic relationship between developers, the AI models they employ—including vulnerabilities those models might introduce—and the repositories where AI-produced code is committed. This capability enables enterprises to trace generative AI usage across extensive codebases and link it directly to security outcomes. Such detailed monitoring is crucial as organisations adopt AI-driven development practices at scale but seek to manage emerging risks effectively.
The product introduces integrated governance and observability features spanning multiple development stages. Key functions include detecting unapproved LLMs and exposing associated vulnerabilities, enforcing flexible policy controls to log, warn, or block pull requests from developers using unsanctioned tools or lacking secure coding skills, and analysing the proportion and location of AI-generated code across repositories. These policy controls empower security teams to align developer capacities with organisational security mandates while maintaining oversight of the accelerated code production enabled by AI.
Secure Code Warrior’s Trust Agent platform already supports various Git-based source control systems such as GitHub, GitLab, and Bitbucket, offering deep insights into developer risk by analysing every code commit for security competencies tailored to multiple languages and frameworks. It seamlessly integrates with the company’s Agile Learning Platform to address gaps in skills, ultimately fostering a security-first development culture and helping reduce vulnerabilities in code bases. Trust Agent also contributes to achieving compliance and improving productivity by embedding security practices directly into developer workflows.
While the full general release of Trust Agent: AI is scheduled for 2026, Secure Code Warrior has opened an early access programme for organisations keen to participate in the beta phase. The company positions this product as a key enabler for enterprises to recalibrate their security programmes amid the increasing embedment of generative AI tools in software development. By delivering advanced analytics and governance capabilities, Trust Agent: AI is intended to support CISOs in making informed, data-driven decisions regarding AI deployment, responding proactively to new risks emerging from high-velocity AI code generation.
Secure Code Warrior’s broader commitment remains focused on reducing breach risks by building security-awareness among developers. Their platform provides extensive hands-on learning opportunities across more than 60 languages and frameworks with over 8,000 learning activities, supporting organisations in nurturing secure coding expertise and establishing resilient, Secure-by-Design development practices.
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Source: Noah Wire Services
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
8
Notes:
The narrative introduces Trust Agent: AI, a new upgrade to Secure Code Warrior’s existing Trust Agent product, which was first announced on July 23, 2024. ([securecodewarrior.com](https://www.securecodewarrior.com/press-releases/secure-code-warrior-introduces-industry-first-solution-that-measures-developers-security-competencies-for-code-commits?utm_source=openai)) The current report indicates a beta programme for this upgrade, suggesting the information is recent. However, the core concept of Trust Agent has been previously reported, indicating some recycled content. The report includes updated data on the beta programme and projected general release in 2026, which may justify a higher freshness score but should still be flagged.
Quotes check
Score:
9
Notes:
The quote from Pieter Danhieux, Secure Code Warrior Co-Founder & CEO, stating, “AI allows developers to generate code at a speed we’ve never seen before,” appears in the current report. A similar quote from the same individual is found in the press release dated July 23, 2024: “At Secure Code Warrior, we are unlocking new value for CISOs by giving them an easy-to-deploy solution to measure the health of code commits and visibility into the hundreds of source code repositories in their organization.” ([securecodewarrior.com](https://www.securecodewarrior.com/press-releases/secure-code-warrior-introduces-industry-first-solution-that-measures-developers-security-competencies-for-code-commits?utm_source=openai)) The wording varies, indicating potential reuse of content.
Source reliability
Score:
7
Notes:
The narrative originates from SecurityBrief Australia, a technology news outlet. While it provides industry-specific coverage, its reputation and editorial standards are not as well-established as major news organisations. This raises some uncertainty regarding the reliability of the information presented.
Plausability check
Score:
8
Notes:
The report discusses Trust Agent: AI, an upgrade to Secure Code Warrior’s existing Trust Agent product, which aligns with previously reported developments. The introduction of AI capabilities to enhance traceability and governance over developers’ use of AI coding tools is plausible and consistent with industry trends. However, the reliance on a single, less-established source for this information warrants caution.
Overall assessment
Verdict (FAIL, OPEN, PASS): OPEN
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
The narrative introduces Trust Agent: AI, an upgrade to Secure Code Warrior’s existing Trust Agent product, which was first announced on July 23, 2024. The current report indicates a beta programme for this upgrade, suggesting the information is recent. However, the core concept of Trust Agent has been previously reported, indicating some recycled content. The quote from Pieter Danhieux, Secure Code Warrior Co-Founder & CEO, appears in both the current report and the press release dated July 23, 2024, with varying wording, indicating potential reuse of content. The narrative originates from SecurityBrief Australia, a technology news outlet with less-established reliability compared to major news organisations. While the introduction of AI capabilities to enhance traceability and governance over developers’ use of AI coding tools is plausible and consistent with industry trends, the reliance on a single, less-established source for this information warrants caution.
