4 stories
How Arcjet added an optional on-device model backend for sensitive information detection: a pluggable rule interface, deterministic recognizers for structured data, offset reconstruction for token-classification output, and local ONNX inference in the request path.
Reducing WebAssembly bundle size: how Arcjet shrank its Rust bot detector 27% with Aho-Corasick, keeping per-request memory isolation and using Wizer snapshots.
How we designed the Arcjet CLI in Go as a stable, defensive interface for humans and AI agents: predictable commands, machine-readable output, strict validation, and confirmation before production changes.
How Arcjet hosts AI security models using Python, Open Inference Protocol, Go, and Modal: the architecture behind prompt injection detection.
Showing 4 of 4 stories
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