Zero-dependency AI security library -- prompt-injection detection, PII redaction, content safety, rate limiting, abuse detection, tool governance, and security evals for LLMs in 3 lines of Python.
In the Other AI space, forcefield takes a focused approach. It focuses on protecting AI applications from prompt injection, PII leaks, and unsafe content in LLM workflows. forcefield is an open-source project aimed at AI developers. The project is open source (Apache-2.0). The product ships for the web and the command line, and it can be self-hosted.
It is developed by Data ScienceTech, and the product first shipped in 2026. The project is developed in the open on GitHub with 18 commits in the last 90 days. Among its 7 catalogued features are prompt-injection detection, PII redaction, and content safety.
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