Cisco Catalyst Center vs Inferwall

Cisco Catalyst Center has no write-up on Specifiction yet; its figures are above.

Inferwall is a self-hosted AI firewall that scans inputs and outputs in LLM applications for threats including prompt injection, jailbreaks, data leakage, and unsafe content. It uses heuristic, machine learning, semantic, and configurable LLM judge detection layers. Deployment options are a Python SDK, standalone HTTP server, or transparent reverse proxy. Listed wrappers include OpenAI, Anthropic, LangChain, and FastAPI, with other stack integrations such as Ollama, Hugging Face, LlamaIndex, Pydantic, vLLM, and Mistral. Users can set allow, flag, or block thresholds by route and modify signatures and version policies under ~/.inferwall/. The Lite profile is about 8 MB; Standard adds about 730 MB of models, and Full adds the LLM-judge layer and requires LLM credentials. Inferwall says its Rust heuristic engine runs in under 0.3 ms at p99. The engine uses Apache 2.0; community signatures use CC BY-SA 4.0. The project cautions that detection is imperfect and positions the firewall as one part of defense in depth.