We Built a Tool to Hack Our Own AI: Lessons Learned Securing Chatbots/Voicebots
Hey HN, We’ve been working in-house on a platform that tests the security of chatbots and voicebots by intentionally trying to break them. As AI-driven bots become more prevalent across sectors like customer service, healthcare, and finance, ensuring they are secure from exploitation is critical. Many companies focus on training their AI to perform well but often overlook the necessity of breaking them to identify vulnerabilities—essential to ensuring their robustness in the real world. Why We Built This: We realized how easily AI models could be manipulated through adversarial inputs and social engineering tactics. With the rise of chatbots and voicebots in sensitive areas, traditional testing methods fell short. What We Did: We developed an in-house platform (code named RedOps) that simulates real-world attacks on chatbots and voicebots, including: 1. Contextual Manipulation: Testing h
Why it failed
Hey HN, We’ve been working in-house on a platform that tests the security of chatbots and voicebots by intentionally trying to break them. As AI-driven bots become more prevalent across sectors like customer service, healthcare, and finance, ensuring they are secure from exploita
- Kind
- startup
- Status
- Shut down
- Inventor
- titusblair
- Ended
- 2024
- Source
- hackernews