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To catch influence operations, look at how accounts behave together, not at whether any single piece of content is violative. Most content from influence operations looks like ordinary political opinion, which is exactly why it gets through, but at scale it can be harmful.
How to choose open content moderation models and route between them: accuracy, cost, latency, steerability, and thresholds. A free guide from ROOST and Musubi.
PolicyLM-1.7B is a small, open-weights model for content moderation and AI guardrails. It reads your content policy and returns a score for every category in under 100 ms, at classifier speed and cost.
We built the Musubi Agent to work directly with your policies, datasets, evaluation runs, and decision history. It can investigate a problem, test a possible solution, pull the examples behind the results, and propose a targeted change for you to review.
Blocking known child sexual abuse material shouldn't mean building your own infrastructure. Through our new IWF membership, Musubi handles the integration so platforms can put strong CSAM protections in place fast.
There are at least five distinct kinds of trust & safety vendor: automated content decisioning, moderation operations platforms, identity verification and age assurance, fraud analytics, and managed review services. What each one is, where it fits, and how to match it to the bottleneck you have.
