PatternWall: Constitutional Governance Middleware for AI Safety - A Pre-Filter Architecture for Model-Agnostic Adversarial Detection
PatternWall: Constitutional Governance Middleware for AI Safety - A Pre-Filter Architecture for Model-Agnostic Adversarial Detection
PatternWall is a constitutional governance layer that intercepts prompts before they reach an AI model. In controlled testing against a 28-sequence adversarial corpus across five models, it intercepted every adversarial campaign. The system achieves 100% per-attack detection, a 96.4% per-attack hard block rate, identical results across all five models, zero false positives, and fully deterministic, auditable decisions.
multi-turn attacks, model-agnostic, deterministic security, AI risk management, Computer security, Computer Systems, AI safety, pre-filter, prompt injection, adversarial detection, governance middleware, constitutional AI
multi-turn attacks, model-agnostic, deterministic security, AI risk management, Computer security, Computer Systems, AI safety, pre-filter, prompt injection, adversarial detection, governance middleware, constitutional AI
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