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Noisegate AI

Noisegate AI

Privacy-preserving gateway and proxy for untrusted AI agent execution.

Noisegate AI

About this tool

Noisegate AI is a privacy-preserving security proxy designed to sanitize inputs and outputs for untrusted AI agents. Built for enterprise software teams, it applies differential privacy and PII redaction before requests reach external LLM endpoints. Security engineers and developers use Noisegate AI to enforce tool execution policy boundaries and prevent accidental data leakage in automated AI agent applications. By sitting between internal agent tools and cloud model vendors, it provides real-time policy enforcement. For FutureStack, Noisegate AI belongs in Developer Tools because it serves as privacy-preserving proxy infrastructure for AI agents. It is best for security engineers, developers, and compliance teams.

Best for

Privacy-preserving agent proxies, secure API routing, and AI data leakage prevention.

Key Features

  • Differential-privacy gateway proxy for sanitizing AI agent inputs and outputs
  • Real-time PII redaction and sensitive data masking for LLM prompts
  • Policy enforcement engine for restricting untrusted agent tool calls
  • High-throughput security proxy compatible with OpenAI and Anthropic APIs

Pricing summary

Noisegate AI offers a free developer tier, with Growth plans starting at $49/month ($588/year).

Pricing Plans

Developer Free

Free developer proxy tier for basic request volume.

Free
  • Basic privacy proxy
  • 10k monthly requests
  • Standard PII masking
  • Community support
Popular

Growth

Expanded proxy volume with custom privacy policies.

$49/month
  • 250k monthly requests
  • Custom privacy policies
  • Audit logging
  • Email support

Enterprise

Dedicated proxy infrastructure with enterprise SLAs.

$199/month
  • Dedicated proxy infrastructure
  • Custom SLAs
  • SOC2 compliance
  • 24/7 support

Other pricing notes

  • Pricing checked on 2026-08-01 from official platform documentation.
  • Free tier includes standard PII redaction and request proxying.
  • Paid plans scale based on monthly proxied request volume and enterprise SLAs.
Pricing last checked: August 2026Official pricing page

Pros & Cons

Pros

  • Prevents sensitive corporate data and PII from leaking into model logs
  • Applies differential privacy techniques to preserve data utility while masking details
  • Enforces strict tool execution boundaries for autonomous AI agents
  • Easy drop-in proxy integration requiring minimal backend code changes
  • Provides audit logging and compliance reporting for enterprise AI security

Cons

  • Adds slight network latency to LLM request pipelines
  • Strict privacy filtering rules require fine-tuning to avoid blocking valid queries
  • High-volume enterprise throughput requires paid gateway tiers
  • Requires devops configuration to set up proxy routing rules
  • Advanced custom policy creation requires security policy knowledge

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