Identify safety and security vulnerabilities in GenAI apps.
No red team required.
“Red teaming” is an important best practice for how companies roll out safe, reliable generative AI. It is a type of adversarial testing where ethical hackers proactively look for vulnerabilities in a system, so organizations have an opportunity to fortify their defenses before an actual attack takes place.
Fuel iX Fortify is an LLM-powered application that simulates real-world adversarial attacks on generative AI-enabled chat assistants and copilots. This enables analysts and developers without a background in cybersecurity to assess the safety and security of their AI system at any given time, providing a critical layer of security and assurance for GenAI systems.
Detect and address vulnerabilities before they can be exploited, and significantly reduce potential risks, safeguarding your assets and data.
Validate the strengths of your GenAI app, while identifying the type of malicious attack techniques that compromise system integrity.
Demonstrate a commitment to security and compliance, showcasing thorough and responsible management practices.
TELUS and Fuel iX, awarded the first global certification for GenAI Privacy by Design, ISO 31700-1
The application automates attacks on target GenAI apps by designing and launching unique attacks, gauging their success, and categorizing and summarizing results.
Users can fine-tune attacks with adjustable creativity settings and codes of conduct, balancing innovative output with precision.
The system preserves detailed logs and analyses of past attacks, enabling users to review past attacks and sessions and download reports for multiple sessions.
Every attack session provides advanced session configuration options, including the ability to change the "temperature" of the target model to adjust its behavior.
A powerful utility to enhance the speed and efficacy of real-life red teams to manually test GenAI at a much greater scale, uncovering subtle and complex security weaknesses.
Fuel iX Fortify is seamlessly integrated with Fuel Core, streamlining testing across an organization's entire set of generative AI capabilities.
Any time we make changes, we need to go back and retest—and there are numerous different ways that you could attempt to jailbreak a large language model. So it's important for us to be able to do that at scale.