Series BWe raised $41M to protect the internet from AI-powered abuseRead announcement

Red teaming + adversarial testing

Test your models like the adversary will.

Hands-on adversarial testing run by people who've spent careers tracking the worst actors on the internet and then helping platforms stop them.

Overview

To protect a bank, you have to know how to rob one.

Generic safety evaluations test for the harms you already know about. Real adversaries don't care about your eval set. They care about the gap between your policy and your product, and they'll find it before you do.

Cinder’s red team has spent years inside the platforms, agencies, and investigations that defined modern adversarial threat modeling. We probe the edges of your model the way the people abusing it will, and write the findings back into the same Cinder workflows that run your operation.

Capabilities

What the engagement covers

Pre-launch adversarial testing

Probe new models, features, and policies against real abuse patterns before they ship.

Real-world threat coverage

CSAM, NCII, extremism, election interference, prompt injection, jailbreaks, and the long tail of platform-specific harms.

Velocity that matches yours

Rigorous testing at the cadence of modern model and feature releases. Not a once-a-year audit.

System prompt governance for LLMs

Stress-test guardrails, prompt structures, and refusal behavior. Catch the failures that show up only at scale.

Findings written back to your platform

Every finding maps to a policy, a workflow, or an agent in Cinder. The fix is operational, not just a PDF.

Cleared and trusted operators

Sensitive testing handled by people with clearances, NDAs, and the institutional credibility to do it safely.

Overview

For foundation models, gen-AI apps, and any platform shipping new policy

Foundation model labs, consumer AI products, and platforms launching new safety policies use Cinder's red team to find what their internal teams can't see and to defend the launch when journalists, regulators, or partners come asking.

Cinder provided rigorous adversarial testing that matched our release velocity. Their team found important edge cases and helped us address them before launch.

Ben Brooks, Head of Public PolicyBlack Forest Labs

>90%

Reduction in CSAM and NCII vulnerability

10X

Safer than benchmark industry models at launch

Read case study
3X

More repeat-offender accounts taken down

50%

Of all bans executed by orchestrated workflows

Read case study