AI Runtime protects production applications from attacks and undesired responses in real time using guardrails that are automatically configured to the vulnerabilities of each model, and are identified with AI Model and Application Validation.
Foundation models are at the core of most AI applications today, either modified with fine-tuning or purpose-built. Learn what challenges need to be addressed to keep models safe and secure.
Retrieval-augmented generation is quickly becoming a standard to add rich context to LLM applications. Learn about the specific security and safety implications of RAG.
Chatbots are a popular LLM application, and autonomous agents that take actions on behalf of users are starting to emerge. Learn about their security and safety risks.