BeyondGuard

BeyondGuard develops a security layer designed to protect the components of enterprise AI systems, including prompts, files, RAG pipelines, agents, MCP tools, and model outputs. The company positions its product as a control plane that operates independently from the AI models it monitors, allowing it to work across different model providers and deployment environments, including cases where data must remain within specific infrastructure. The platform is built to address risks that traditional security tools were not designed to handle, such as interpreting prompts, retrieved context, agent plans, tool calls, and model-generated outputs. BeyondGuard organizes its coverage around distinct risk areas across what it calls the AI value chain, with separate protection modules ("Guards") for each node in that chain. Specific risk categories addressed include prompt injection, jailbreak attempts, PII and data leakage, shadow AI usage, agentic AI risks, MCP and tool-related threats, RAG poisoning, system prompt leakage, generation of toxic or harmful output, and model supply chain attacks, several of which align with OWASP's LLM security risk categories. BeyondGuard markets its offering to enterprises adopting AI technologies who need visibility and enforcement capabilities beyond what conventional application and network security tools provide. A customer reference from Odeabank's COO indicates the product is used to support enterprise AI governance and enable expanded AI adoption with configurable enforcement and provable security decisions.