There are two critical differences between our GenR3d platform and others in the market. First, Generative Security’s GenR3d platform focuses on specific use cases most important to your and your business. The majority of other generative AI security platforms focus on generic attacks to the underlying technology and Large Language Models (LLMs) themselves. This is important, but decidedly insufficient to protect your customer-facing chatbot. Your intellectual property and business logic is far more valuable to attackers than the ability to do some calculus homework, which is why we focus on the intersection between the technology and your business.
Second, we focus on bringing the issues up front early, in your development processes. The other platforms exist as firewalls or proxies in your environment meaning when they go down, your revenue generative chatbot goes down with them. It’s also a band aid – when you get your agentic workflow in place, do you plan on having a proxy in between all of their communication? I doubt it. That’s why we focus on helping your developers integrate security testing into their CI/CD and MLOps pipelines so you get visibility into what attacks are viable before you go in front of attackers. This empowers product owners to make the best decisions early in the process and give security teams the assurances they need to promote the chatbots into production.