Skills
Defend against prompt injection with an embedding-scored Threat Library, not brittle regex rules
Static keyword filters miss paraphrased injection; the emerging approach scans inputs with embedding-based similarity scored against a shared Threat Library, combined with classifier-based risk scoring. Attack patterns found in red-teaming get encoded into the library so they become runtime defenses immediately, without waiting for a release cycle — a continuously-updated detection layer rather than a fixed rule set.
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