FareedKhan-dev/agentic-guardrails
Layered guardrails to make agentic AI safer and more reliable.
This project provides a comprehensive, layered system to enhance the safety and reliability of AI agents and RAG solutions. It takes potentially risky or non-compliant user prompts, agent plans, and outputs, applying multiple checks to filter out security risks, hallucinations, and compliance violations. This is invaluable for AI developers, ML engineers, and MLOps teams building and deploying AI applications in sensitive or regulated environments.
No commits in the last 6 months.
Use this if you are building an AI agent or RAG system and need robust, multi-stage protection against malicious inputs, unsafe actions, and inaccurate or non-compliant outputs.
Not ideal if your AI application has no access to sensitive data, operates in a low-risk environment, or does not involve autonomous decision-making where errors could have significant consequences.
Stars
34
Forks
12
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 05, 2025
Commits (30d)
0
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