Resources
Resources for trust, safety, and AI operations.

Is that a trick or a treat? Halloween changes the context for Trust and Safety teams
How to Choose an AI Red Teaming Vendor: Criteria, Cost Drivers, and What You Should Get Back
How to Set Up an AI Red Teaming Program for a Generative AI Product

How Leading Open-Weight Models Respond to Requests Involving Violent Harm

Generative media is becoming infrastructure. Safety must keep pace.

Can Jev Answer Trust and Safety's Hardest Questions?

The Coolest Job At The Dinner Party: Why I Joined Cinder

AI as an Overwhelming Security Vector Requires a New Defensive Posture

Who gets to decide when AI is safe?
Case studies
Customer stories
Real outcomes from the platforms trusting Cinder to protect their users.
Krea
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Cinder red teamed Krea 2 for enterprise-readiness before open-sourcing one of the most capable creative image models available today.
< 1%
NSFW rate across evaluated generations
Synthesia
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Synthesia extended its trust & safety stack with Cinder so enforcement keeps pace with how fast the product and the threat landscape are moving.
>97%
AI Moderation Accuracy
Black Forest Labs
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Cinder ran rigorous adversarial testing to help Black Forest Labs ship FLUX without compromising on safety.
>90%
Reduction in CSAM and NCII vulnerability
Character.AI
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Cinder’s agentic review reduced a significant percentage of cases, allowing moderators to focus on high-risk cases requiring human judgment.
>50%
Reduction of all queues


