Arc Gate blocks prompt injection live

Interesting idea, but the real test is not whether it wins a 40-prompt demo benchmark; it’s whether it stays useful under messy real traffic and novel attack patterns.

• –The integration story is strong: one `base_url` swap is the kind of frictionless setup teams actually adopt.
• –The behavioral SVM on embeddings is more credible than pure pattern matching, especially for indirect and roleplay-style attacks.
• –The later discussion around Arc Gate suggests the geometric/session layer needs deployment-specific calibration, which is the usual failure mode for security ML.
• –Zero false positives is the right headline, but it needs much larger, more realistic traffic to mean anything.
• –If the latency really stays around 329ms, the product has a practical shot at fitting into production LLM pipelines.