TLDR: TELUS Digital has launched Fuel iX™ Fortify, an innovative application designed for automated AI red-teaming. This solution empowers enterprises to proactively identify and mitigate vulnerabilities within their generative AI (GenAI) systems by simulating real-world adversarial attacks at scale, addressing critical safety and security concerns in the rapidly evolving AI landscape.
VANCOUVER, British Columbia – October 1, 2025 – TELUS Digital, a prominent global technology company specializing in digital customer experiences, today announced the release of Fuel iX™ Fortify, its new continuous automated red-teaming application. This groundbreaking solution is engineered to help enterprises rigorously test generative AI (GenAI) systems at scale, uncovering potential vulnerabilities through the simulation of advanced, real-world adversarial attack scenarios.
The proliferation of GenAI is driving significant enterprise transformation, yet it simultaneously introduces a new spectrum of safety and security risks. Without robust safeguards, these risks can lead to eroded customer trust, reputational damage, operational disruptions, and potential regulatory penalties. Bret Kinsella, General Manager of Fuel iX at TELUS Digital, emphasized this challenge, stating, “Red-teaming expertise is in short supply, and many organizations struggle to find the people and time needed to keep pace with evolving risks. Fuel iX Fortify helps close that gap by automating AI safety and security testing and uncovering vulnerabilities early so security teams can proactively mitigate risk.”
Fuel iX Fortify addresses a critical industry need, as over two-thirds of enterprises (67%) report a shortage of cybersecurity professionals equipped to handle GenAI vulnerabilities. The application can execute thousands of adversarial attacks on AI-powered assistants, copilots, and other GenAI applications within minutes, a significant acceleration compared to traditional manual testing methods. This rapid assessment capability allows organizations to identify and address AI risks before they can be exploited.
Key features of Fuel iX Fortify designed for enterprise use include an intuitive, accessible interface that enables both technical and non-technical teams to conduct AI security testing. It provides actionable reporting through comprehensive dashboards and detailed reports, offering clear insights into an AI application’s vulnerabilities. The solution also boasts seamless integration capabilities, allowing it to be used with a wide array of GenAI applications simultaneously within a single interface. Furthermore, Fortify is backed by rigorous data science research and an ever-evolving database of adversary tactics, techniques, and procedures, ensuring it stays ahead of emerging attack methods and generates novel tests.
The impact of Fuel iX Fortify is already evident. A publicly-funded health authority in Canada is utilizing the application to safeguard its public-facing career advisor chatbot. This bot, designed to help individuals explore healthcare job opportunities, must ensure it never provides medical advice or harmful responses. With Fuel iX Fortify, the client reported a remarkable 97% reduction in testing time, with non-technical experts onboarded in less than 30 minutes, demonstrating significant efficiency gains and cost reductions.
Also Read:
- Vertesia Unveils Enterprise AI Assistant for Enhanced Workplace Productivity and Security
- Tria Federal Launches Tria Forge: A Codeless Generative AI Platform for Enterprise Innovation
“Fortify was built as an AI safety and security early warning system that is available to identify risks at any time by any user to give enterprises confidence they are responsibly launching and scaling their AI applications,” Kinsella added. The platform is hosted on Google Cloud and offers flexibility with an extensive library of LLM models from various top-tier providers, including OpenAI, Google, Anthropic, Mistral, Meta, and Microsoft, allowing for customized control over AI inference and data storage, including options to keep data within Canadian borders.


