CXGuard is a security gateway and governance dashboard for AI-powered customer support agents. It is designed for companies that want to deploy AI support bots safely without exposing themselves to prompt injection, customer data leakage, refund abuse, secret extraction, policy manipulation, or unsafe automated actions. As more customer experience teams adopt AI agents to answer questions, resolve tickets, process returns, and reduce support costs, a new class of risk appears. Unlike traditional software, AI agents can be manipulated through language. A malicious customer may try to override the agent’s instructions, reveal hidden system prompts, extract private customer information, access internal policies, bypass refund limits, or trick the bot into performing actions it should not take. For enterprises, these failures are not just technical bugs — they can become privacy incidents, financial losses, compliance gaps, and reputational damage. CXGuard solves this by sitting between the customer support interface and the underlying language model. Every support conversation is routed through Lobster Trap, an inline prompt inspection and policy enforcement layer, before the request reaches the LLM. Lobster Trap inspects incoming prompts and outgoing model responses for risky signals such as prompt injection, credential extraction, personally identifiable information requests, sensitive file paths, role impersonation, unsafe commands, external exfiltration, and other suspicious patterns. CXGuard then turns those low-level security signals into an enterprise-ready product experience: clear decisions, risk scores, policy hits, incident details, human-review queues, and audit-ready logs.
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