Which agents are running? Should this particular action be allowed? What happened, and why? This is what Arcjet is now tackling.
AI agent security is moving at two speeds: most teams need action-level runtime enforcement now, while Google’s Beyond Zero points to what comes next.
How Arcjet hosts AI security models using Python, Open Inference Protocol, Go, and Modal: the architecture behind prompt injection detection.
How we defend Arcjet’s MCP tool outputs from prompt injection by separating trusted guidance from untrusted evidence in structured responses.
How we built Arcjet’s production MCP server in Go: integrating with an existing API, reusing auth and middleware, designing agent tools, and supporting OAuth discovery.
Introducing Arcjet prompt injection detection. Catch hostile instructions before inference. Works with Next.js, Node.js, Flask, FastAPI, and any JavaScript / TypeScript or Python application.
Get the full posts by email every week.
