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AI · January 14, 2026

AIOStack – Using eBPF to Secure AI Services in Kubernetes

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 response Security 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 AI Our eBPF based tool attaches to network…

AIOStack – Using eBPF to Secure AI Services in Kubernetes launched on January 14, 2026 with 9 votes, #1,189 of 14,584 launches that month and more than 75% of that year's launches.

Visit aurva.io ↗Alternativestop 8% of January 2026

What it does

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See your AI Data Exposure in minutes. No sales call required. See your AI Data Exposure in minutes. No sales call required. See your AI Data Exposure in minutes. No sales call required. How Aurva helps teams secure sensitive data use across runtime security, privacy, and compliance. How Aurva helps teams secure sensitive data use across runtime security, privacy, and compliance. How Aurva helps teams secure sensitive data use across runtime security, privacy, and compliance. A practical guide to tracing identity, action, data touched, and downstream movement in modern environments. A practical guide to tracing identity, action, data touched, and downstream movement in modern environments. A…from aurva.io

In the maker’s words, at launch

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…

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