A Bidirectional LLM Firewall: Next Level X1 - help wanted!

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Thought Filtering vs. Text Filtering: Empirical Evidence of Latent Space Defense Supremacy Against Adversarial Obfuscation

Large Language Model (LLM) guardrails typically rely on either shallow syntax matching (Regex) or high-latency vector embedding comparisons (e.g., Llama Guard). Both approaches demonstrate catastrophic failure modes against adversarial obfuscation attacks such as “Glitch Tokens,” Leetspeak, and Unicode substitution. In this study, we present CORTEX, a neuro-symbolic defense architecture that shifts the security paradigm from textual pattern matching to latent space intent analysis. We introduce…