BLA
BLA는 오픈소스 Blue Defense MCP와 CLI로, 소프트웨어 자산을 자동 AI 리버스 엔지니어링으로부터 보호합니다
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Client-side instrumentation for API and AI agent security monitoring. Django middleware, MCP server instrumentation, an Envoy AI Gateway OTLP bridge, and a MuleSoft Flex Gateway policy that capture request, tool-call and LLM traffic and stream it to Cerberus.
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README 전문 보기 ↗Instrumentation for API and AI agent security monitoring: what your APIs served, what your agents called, and what your models spent.
These are the libraries and gateway policies you add to your application, or place in front of it, so that a request, an MCP tool call, or an LLM call becomes something you can see. Each integration targets a different runtime and they all emit the same event schema, so they are interchangeable and can be mixed in one deployment.
Values under known sensitive key names are redacted in the client before anything is transmitted, and bearer tokens are HMAC-pseudonymized rather than stored. Source IPs are not treated as PII: the Flex Gateway policy (0.6.0+) sends them as-is, and the Python integrations' legacy IP hashing is being removed to match.
Looking for the backend/platform (event ingestion, processing, dashboards, infrastructure)? That lives in the separate
cerberus-intrepository.
Background on what these packages are for, independent of which one you use:
| Package | What it's for | Runtime | Distribution |
|---|---|---|---|
| cerberus-core | Shared sanitization + PII-hashing utilities used by the Python integrations (SENSITIVE_KEYS, sanitize_dict(), hash_pii()) | Python | PyPI |
| cerberus-django | Django middleware that captures HTTP request/response metadata and streams it over WebSocket — a one-line MIDDLEWARE addition | Python · Django | PyPI |
| cerberus-mcp | Drop-in FastMCP replacement that instruments MCP tool / resource / prompt calls | Python · MCP (FastMCP) | PyPI |
| cerberus-flex-gateway | Custom policy for MuleSoft Anypoint Flex Gateway — captures and forwards request metadata with no application code changes | Rust → WASM (wasm32-wasip1) | Prebuilt bundle → customer's own Anypoint Exchange (INSTALL.md) |
| cerberus-envoy-ai-gateway | OTLP trace bridge for Envoy AI Gateway — converts the gateway's LLM + MCP telemetry into Cerberus events, deployed beside the gateway with a few OTel env vars | Python · OTLP/HTTP | PyPI / container image |
Shared test fixtures: parity-fixtures — language-agnostic YAML cases that keep the Python and Rust sanitization logic byte-for-byte consistent.
cerberus-django (depends on cerberus-core)cerberus-mcp (depends on cerberus-core)cerberus-envoy-ai-gateway (depends on cerberus-core)cerberus-flex-gateway deployed in front of your servicecerberus-core's sanitization contract and the shared event schemaCoreData / MCPEventData), so the Cerberus backend (event_ingest) needs no per-client changes.cerberus-core (Python) or its ported equivalent in the Rust gateway. Redaction matches key names against SENSITIVE_KEYS, so it catches the usual suspects rather than inspecting values. Source IPs are not treated as PII: the Flex Gateway policy sends the normalized client IP as-is, and the Python integrations' remaining HMAC-SHA256 IP hashing (when a secret key is configured) is being removed to match.parity-fixtures: cerberus-flex-gateway/tests/parity_runner.rs and cerberus-django/tests/test_parity.py consume the same YAML cases, so any drift fails CI. (cerberus-envoy-ai-gateway imports cerberus-core directly, so it needs no parity runner.)
SENSITIVE_KEYS (or other sanitization rules) in cerberus-core, update the matching fixture in the same PR.uv build and publish to PyPI via ./publish_package.sh <package> (e.g. ./publish_package.sh cerberus-core).cerberus-flex-gateway compiles to WASM and is distributed as a prebuilt bundle each customer publishes into their own Anypoint Exchange via the bundled install.sh (see INSTALL.md). Maintainers build the bundle with make bundle; CI attaches it to a flex-gateway-v* GitHub Release. It can also be dropped onto a Flex Gateway pod as a .wasm (Local mode).cerberus-envoy-ai-gateway additionally ships as a container image (make image, push to your registry) with Kubernetes manifests in its deploy/ directory.See LICENSE.