Grafana AI Features Enable Silent Enterprise Data Exfiltration
Grafana's AI and assistant features can be exploited to silently exfiltrate sensitive enterprise data without requiring login or user interaction. Attackers use a chain of indirect prompt injection and URL validation bypasses to trick Grafana into sending internal data—such as financial metrics, infrastructure telemetry, and customer records—to attacker-controlled servers. This attack bypasses AI guardrails and client-side protections, turning Grafana's normal AI workflows into a covert data leak channel. The risk extends beyond the Grafana app itself to any observability data it can access. Grafana has issued a fix for this vulnerability, but the exposure highlights a new class of threat where AI features in observability tools become unauthenticated exfiltration vectors. This vulnerability demands urgent patching and verification for any Grafana deployment using AI capabilities.