[KongchangAI]
ProductJnvoy 开源代理

Jnvoy

An open-source HTTP proxy tool that intercepts and detects risks such as PII, prompt injection, and MCP tool poisoning before LLM calls. It performs reversible redaction on requests and then forwards them to upstream models, so security hardening can be applied without modifying business code.

Timeline (last 90 days)

Oct 13

Jnvoy is an open-source HTTP proxy deployed between applications and LLM services, performing security checks such as PII detection, masking, and injection detection before data leaves the local network.

Unverified50%
Oct 13

When using Jnvoy, developers only need to replace the request URL and change the original Anthropic SDK call to an httpx.post request, adding a provider field to the request body to specify the upstream model provider, with no need to change business logic.

Unverified50%
Oct 13

Jnvoy identifies PII entities on the request path and replaces them with reversible tokens, and on the response path restores the placeholders to their original values based on a local mapping table, transparently to the caller.

Unverified50%
Oct 13

The security precondition of reversible token replacement is that the mapping table exists only inside the proxy, and in multi-tenant scenarios each API key corresponds to an independent mapping space to avoid data crossover between tenants.

Unverified50%
Oct 13

Jnvoy's PII detection is based on Microsoft Presidio, supports more than 20 entity types, and additionally adds UK-localized recognizers covering NHS numbers, NI numbers, UK postcodes, and sort codes.

Unverified50%
Oct 13

Jnvoy's prompt injection detection targets three categories of attack patterns: jailbreaks, instruction overrides, and system prompt extraction.

Unverified50%
Oct 13

Jnvoy's MCP security module additionally detects tool poisoning and secret leakage in tool responses.

Unverified50%
Oct 13

Jnvoy writes audit logs to PostgreSQL and supports one-click generation of PDFs of FCA and EU AI Act compliance reports.

Unverified50%
Oct 13

Jnvoy's semantic cache is said to save 20% to 40% of LLM call costs.

Unverified50%
Oct 13

The Jnvoy project contains 164 automated tests, provides a one-click Docker startup stack, and includes a Slack connector for protecting AI bot messages.

Unverified50%

3 more timeline events

All Facts (13)

Unverified

Jnvoy is an open-source HTTP proxy deployed between applications and LLM services, performing security checks such as PII detection, masking, and injection detection before data leaves the local network.

50%
Unverified

When using Jnvoy, developers only need to replace the request URL and change the original Anthropic SDK call to an httpx.post request, adding a provider field to the request body to specify the upstream model provider, with no need to change business logic.

50%
Unverified

Jnvoy identifies PII entities on the request path and replaces them with reversible tokens, and on the response path restores the placeholders to their original values based on a local mapping table, transparently to the caller.

50%
Unverified

The security precondition of reversible token replacement is that the mapping table exists only inside the proxy, and in multi-tenant scenarios each API key corresponds to an independent mapping space to avoid data crossover between tenants.

50%
Unverified

Jnvoy's PII detection is based on Microsoft Presidio, supports more than 20 entity types, and additionally adds UK-localized recognizers covering NHS numbers, NI numbers, UK postcodes, and sort codes.

50%
Unverified

Jnvoy's prompt injection detection targets three categories of attack patterns: jailbreaks, instruction overrides, and system prompt extraction.

50%
Unverified

Jnvoy's MCP security module additionally detects tool poisoning and secret leakage in tool responses.

50%
Unverified

Jnvoy writes audit logs to PostgreSQL and supports one-click generation of PDFs of FCA and EU AI Act compliance reports.

50%
Unverified

Jnvoy's semantic cache is said to save 20% to 40% of LLM call costs.

50%
Unverified

The Jnvoy project contains 164 automated tests, provides a one-click Docker startup stack, and includes a Slack connector for protecting AI bot messages.

50%
Unverified

All requests passing through a local proxy inevitably add latency, PII detection requires computing resources, and throughput performance under high concurrency is the key variable for actual deployment.

50%
Unverified

If the proxy itself is compromised, the reversible token mapping table's restoration capability becomes an attack surface, so the proxy's level of security protection determines overall security.

50%
Unverified

GDPR and UK FCA compliance requirements impose clear constraints on personal data processing, but most teams do not proactively build a separate detection layer during rapid iteration, which is Jnvoy's market entry point.

50%

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