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Noisegate

a differential-privacy gateway for untrusted AI agents

Details

External ID
49113543
Source
HN
Company
—
Product
Noisegate
Website domain
github.com
Launched
July 30, 2026
Cohort
—
Upvotes
19
Upvotes percentile
0.7037037037037037
Tags
—
Fetched at
Sept. 10, 2026, 5:32 a.m.
Updated at
Sept. 10, 2026, 5:32 a.m.

Enrichment

Theme
ai agent infrastructure and tooling
Vertical
Security
Function
Compliance & governance
Audience
B2B
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
privacy gateway for ai agents
Manually corrected
False

Could you build this?

Partial The proxy/gateway wrapper for AI agent queries is straightforward, but correctly implementing mathematical differential privacy mechanisms (e.g., epsilon-delta privacy budget accounting, calibrated Laplace/Gaussian noise) without destroying utility requires specialized expertise.

What it would actually take: The stack would involve an HTTP/MCP reverse proxy in Go or Rust that inspects agent tool calls and data queries. The hard part is implementing rigorous differential privacy algorithms (Laplace mechanism, Exponential mechanism, Rényi DP composition) and managing strict privacy budgets per session/agent to mathematically prevent data leakage.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 1588 launches clear the similarity bar, closest 8 shown.

Attention rank: #395 of 1589 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 273 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a compliance & governance tool for Media & entertainment yet.