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Overview
This project is a high-performance CPU-based AI guardrail system designed to detect and block malicious prompts targeting Large Language Models (LLMs).

The architecture was specifically designed for:

Low-latency inference
CPU-only deployment
Enterprise/SOC environments
Air-gapped systems
Scalable inference pipelines
Real-time prompt inspection
The system focuses heavily on:

Prompt injection detection
Jailbreak prevention
Instruction override detection
Data exfiltration prevention
Obfuscation attack detection
Multi-language attack analysis
The guardrail currently supports:

Turkish prompts
English prompts
Mixed Turkish-English prompts
Architecture
The system follows a multi-stage pipeline architecture.

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+ ---
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+ language:
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+ - tr
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+ - en
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+ base_model:
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+ - dbmdz/bert-base-turkish-128k-cased
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+ pipeline_tag: text-classification
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+ tags:
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+ - bert
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+ - guardrail
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+ ---