
Secure the AI agents you're building at runtime
Arcjet is the runtime security platform that ships in your AI code. Detect prompt injection, authorize agent tool calls, redact sensitive data, and block bots and abuse. Real-time security building blocks you call inside your app, before an action happens.
Arcjet is a runtime security platform designed for AI applications, providing tools to detect prompt injection, authorize tool calls, and redact sensitive data. It offers real-time security features that integrate directly into AI code to prevent unauthorized actions.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.
Overall, the comments reflect strong enthusiasm and interest in the product's security capabilities.
absolute fan of @davidmytton's work with @Console and @Arcjet. Their new agent runtime security platform is a must-have for engineering teams to enforce policy the moment an AI agent acts, and keep the evidence to prove what happened and why. Detect prompt injection, authorize agent tool calls, block bots and abuse. It's available now. Start for free with this prompt or follow the quickstart to protect your first agent tool and LLM calls: 1. Run: npx skills add arcjet/skills 2. Add Arcjet protection to my appCurious to know what the community thinks about security these days.
When AI was just a chatbot, the worst thing it could do was be wrong. That's no longer where the risk sits. Agents now read and write to databases, resolve support tickets and move money, and they are set off by an inbox, a text message or a code commit rather than someone typing into a chat box. Today, we're announcing Agent Runtime Security. It gives engineering teams enforcement at the moment an agent acts, and it gives security teams the evidence to prove afterwards what happened and why. It's available now with a 15-day free trial: https://arcjet.com/ Over to you! Ask us anything, challenge us, tell us what you think about security in this AI era. We're here all day.
This is an amazing product, and we are extremely happy customers at @Creem ! Congrats on the launch guys, any plans to also expand the product towards image and video output moderation?
Congrats on the launch! How out-of-the-box is the implementation and later use?