Forensic Summary
Microsoft Security Research documented active intrusions targeting three distinct AI infrastructure components — a LiteLLM gateway, a RAGFlow retrieval platform, and a Kestra workflow orchestrator — revealing a pattern of attackers treating AI control planes as high-value targets for credential theft and compute abuse. Across all three cases, attackers converged on the same objectives: stealing model-provider API keys, establishing persistence, and monetising compromised compute resources. The findings signal that AI-specific middleware and orchestration layers require the same security rigour as traditional enterprise critical infrastructure.
Read the full technical deep-dive on Grid the Grey: https://gridthegrey.com/posts/ai-gateways-targeted-litellm-ragflow-kestra-compromised/
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