Launch HN: Consus (YC F24) – LLM gateway for companies handling sensitive data

Launch HN: Consus (YC F24) – LLM gateway for companies handling sensitive data

3 pointsby ericmags16 comments

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  • Does this work with HIPAA data ?
  • I love this. Will this guarantee that proprietary/ sensitive/ CUI data won't leak to model training or other parties?
  • How does ZDR work with requests that trip security measures in the model provider? Do the providers retain those requests for analysis or is that too guaranteed?
  • Interesting that the pitch is density: $0.37/month per sandbox implies a lot of them packed onto shared hardware. My sandbox experience is the malware kind: at Fortinet I ran NSS Labs testing on a sandbox engine, and a key question was whether results held as throughput tiers went up, with sample loss tracked per tier. Same question seems worth asking here: do isolation and agent performance hold at peak packing, not just average utilization?
  • This is great, question though, since you support coding agents like Claude Code and Codex, they run MCP servers, plugins, web search/fetch and their own telemetry from the dev's machine. Do you give customers guidance or controls for that side, or is it out of scope for the gateway?
  • Compliance at the gateway is necessary, but the apps those teams deploy still need the same skepticism on the other side of the fence. Auth bypasses, open storage and loose table rules do not show up in a FedRAMP checklist the way a missing control on the model path does. What has helped on small stacks is hitting the live URL as an anonymous visitor and as a second user. I built https://rowly.me to run that pass on AI-built apps automatically (sign-in, APIs, storage, database rules).

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