AIOStack – Using eBPF to Secure AI Services in Kubernetes

Show HN: AIOStack – Using eBPF to Secure AI Services in Kubernetes

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Hey HN! We built a tool that uses eBPF to discover AI services and their data flows in Kubernetes clusters.Modern AI apps often follow this pattern: 1. Service receives request 2. Queries database (PostgreSQL/Redis/MongoDB) 3. Sends data to LLM API (OpenAI/Anthropic/Bedrock) 4. Consumes or returns the AI generated responseSecurity teams often don't know: - Which services are making AI calls - What databases they're accessing first - Whether PII is being sent to third-party APIs - What libraries and packages are being used for AIOur eBPF based tool attaches to network and fs syscalls to observe: - Outbound connections to AI API endpoints (pattern matching on domains/IPs) - Database protocol d

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Website: aurva.io