adversarial-eval-r14
Attack surface
6 runsCleared
- CSAM0%214/214
- NCII0%168/168
- Extremism0.0%218/224
- Promptinjection0.0%412/468
- Multimodal0.0%141/150
- Jailbreaks0.0%214/234
Active sweepsjailbreak-r14-bcsam-holdoutmm-audit
Red teaming + adversarial testing
Test your models like the adversary will.
Hands-on adversarial testing for models, products, and policies, run by operators who have spent careers tracking real-world abuse. Cinder helps teams find failure modes before launch and turn findings into safeguards, evals, workflows, and review systems.
Overview
Find the failures your launch cannot afford
Generic safety evaluations test for the harms you already know about. Real adversaries look for the gap between your policy, your model, and your product experience, and they will find it before launch if you do not.
Cinder's red team probes those edges before your users, journalists, regulators, or attackers do. We test models, prompts, outputs, guardrails, and product workflows, then write findings back into the policies, evals, agents, and review queues your team uses to operate.
“What Synthesia needs now is infrastructure that can keep pace with how quickly the product and the threat landscape are moving, which is why Synthesia is combining its know-how with Cinder's technological capabilities.”
Synthesia
Capabilities
What the engagement covers
Pre-launch adversarial testing
Probe new models, features, prompts, outputs, and policies against real abuse patterns before they ship.
Real-world threat coverage
Test against CSAM, NCII, extremism, election interference, prompt injection, jailbreaks, multimodal abuse, and platform-specific harms.
Velocity that matches yours
Run rigorous testing at the cadence of modern model and product releases, not as a once-a-year audit.
Guardrail and prompt governance
Stress-test guardrails, system prompts, refusal behavior, and escalation paths. Catch failures that only appear when models meet real users.
Findings turned into safeguards
Map every finding to a policy, eval, workflow, agent, or review queue in Cinder. The output is an operating plan, not just a PDF.
Cleared and trusted operators
Sensitive testing handled by operators with the clearances, NDAs, and institutional credibility to do the work safely.
Overview
For model labs, AI products, and platforms shipping high-risk changes
Foundation model labs, GenAI products, and platforms launching new safety policies use Cinder to find what internal teams can miss, prove what changed, and defend launches when customers, regulators, partners, or the press ask how safety was tested.