Musubi Resources: Insights & Best Practices

How to use LLMs for Content Moderation (in 2026)

A lot has changed in how T&S teams use LLMs for content moderation. This is a practitioner's guide to what's working in 2026: model selection, policy engineering, agentic workflows, and the operational practices that separate mature systems from experimental ones.

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Introducing Agentic AI Detection

AI agents are changing the threat landscape for Trust & Safety. Musubi's agentic AI detection gives platforms the visibility they need to identify agent activity and decide what to do about it.

Not Sure Where to Start With Musubi? Here's an Honest Guide

Not sure which Musubi product fits your T&S stack? This guide breaks down PolicyAI, AiMod, Musubi Coop, and when to use them.

Diversity-First Sampling for Trust & Safety: Building and Benchmarking GIST

We built an open-source GIST implementation and benchmarked it on T&S datasets. GIST matched classifiers trained on 5x more data, helping teams do more with smaller labeling budgets.

Introducing Musubi Coop: Complete moderation for teams of any size

Musubi goes full stack. Get AI-powered moderation and human review tools together, whether you're a startup or scaling to millions of users.

How We Surfaced Hidden Threats in Agentic AI’s Social Media

We analyzed 5,000 posts from an AI-agent social network and uncovered coordinated spam campaigns, prompt injection attacks, crypto exploitation, and surprisingly sophisticated philosophical discourse—all detected in minutes using behavioral clustering.

Trust & Safety, built for what’s next: Musubi x Tremau

We're excited to announce a partnership between Musubi and Tremau, which enables us to continue our shared mission of delivering smart, scalable solutions that keep online spaces safe.