FireTail AI Detection & Response is a platform that centralizes LLM log data from multiple AI providers to enable real-time threat detection and incident response across an organization's AI deployments. The platform normalizes logs from all major LLM and AI providers into a single schema, allowing security teams to write one detection rule that applies uniformly across all AI systems. This eliminates the need to manage separate detection logic per provider. Key threat types the platform monitors for include: - Prompt injection and jailbreaking - PII leakage and data exfiltration - Misuse of AI tools - Abnormal or rogue AI behavior - Policy violations When a threat is detected, the platform generates real-time alerts for security teams. Structured logs with full context (who prompted, what was sent, and what the model responded with) are available to support incident investigation. The platform also supports automated enforcement actions based on configured detection rules and guardrails, such as blocking future use, revoking user access, or flagging users for follow-up review. FireTail offers custom detection rule tuning and ongoing policy refinement in collaboration with the customer as their AI footprint grows. A 14-day free trial is available.