GreyNoise telemetry indicates active targeting of LLM-facing infrastructure, based on over 90K observed sessions across multiple campaigns.

Key observations:
• SSRF-style callbacks confirming outbound reachability
• Structured enumeration across OpenAI-compatible and Gemini-style APIs
• Infrastructure overlap with known large-scale CVE scanning activity

The implication is clear: LLM services are now part of standard reconnaissance workflows.

Defensive focus areas include egress filtering, rate limiting, fingerprint monitoring, and access controls around model pulls.

What detection gaps are you seeing most often in LLM deployments?

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