top of page

GuardAI

GuardAI is a trustworthy AI tool for GenAI developers and enterprise users to automatically detect and defend vulnerabilities, such as privacy breaches and harmful messages. It provides end-to-end risk management solutions, ensuring AI safety, reliability, and compliance.

​GuardAI

  • Empowers accountable leaders to utilize GenAI's potential with confidence and minimize risks.

  • Enables auditors and regulators to assess GenAI risk.

  • Prioritizes trust and ethical standards in the field of large language models (LLMs).

  • Blends attack strategies, robust defense mechanisms, and comprehensive risk assessment framework,  adapting to the evolving LLM landscape.

  • Boasts cutting-edge features like advanced role-playing mechanics and automatic jailbreak identification, ensuring unparalleled robustness and reliability.

 

GuardAI is more than a tool. It is our commitment to a future where AI thrives responsibly and reliably.

GuardAI Logo_edited.png

Why GuardAI

Our cutting-edge technology bypasses built-in safety mechanisms at a 99% rate on the ChatGPT, Gemini, and Meta.

GuardAI Logo.png
Guard AI
Detects Known & Unknown Risks
Proactive Prevention
Dynamic/Evolving
Automatic Scaling
Simple GenAI Interface
Existing Approaches
Detects Only Known Risks
No Defense
Static
Labor Intensive
Custom Development

The Genesis of GuardAI: A Convergence of Vision, Expertise, & Innovation

Our startup's journey began with a chance meeting at CMU's Innovation Summit in 2015, where Jenny sat on a panel and connected with her future business partner, Professor Wang. ​With over two decades of experience in managing financial model risk, Jenny was well-versed in the complexities of regulatory guidance. However, her confidence in model risk management was truly challenged by the advent of large language models. Inspired by these challenges, Jenny penned a LinkedIn article titled "You Cannot Manage AI without an AI Tool," following the European Parliament's adoption of the Artificial Intelligence Act on June 14, 2023. This article marked her proactive search for cutting-edge technological solutions. On August 13, 2023, a breakthrough came. Jenny noticed a post by Professor Wang detailing his extensive research with scholars, studying 673 papers on trustworthy machine learning over the last 20 months. Immediately, she reached out to him, sensing a unique opportunity. It was a moment that led to the right technology meeting the right business need. Our shared passion for building trust in AI and blending emerging business needs with advanced technology culminated in the birth of our startup. We embarked on a mission to create scalable, trust-infused AI solutions, harnessing our combined expertise to make a mark in the AI landscape.

bottom of page