Introducing the
Future of AI Security

AI applications like Chatbots and Co-pilots are leaking data everywhere. 45% of organizations that implemented AI solutions had a data leak. The reason is simple. LLMs are unpredictable, require significant data to be useful, and erase the boundaries between instructions and data. This makes them particularly easy to manipulate and hard to trust.
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Current solutions treat LLMs as black-boxes  and attempt to secure them through input/output filtering and red-teaming. This approach is a dead end. LLMs can already comprehend numerous modalities, languages, encodings, and concepts, and are only gaining more capabilities. This means that information can reach or leak from an LLM in unexpected ways. Traditional tools like DLPs, Firewalls, and DSPMs aren't built to handle this and will get worse as AI gets stronger.

That's why Realm is taking a novel approach to securing AI. Our team has been working on securing AI since 2016 with more than 1000+ citations and multiple patents to our name. We believe that AI can only be secured in the long term from within. To do this, Realm taps into the hidden states of the model to build signatures in the neural realm. Using this, we build a comprehensive AI Security, Governance, and Moderation platform which works with any modality, language or other variations and gets better as AI gets better.