AgentMarketplace fraud v3
DraftEval +0.0%
- Policy
- GuardrailsBlock region: EU · Require human review > $1,500
- Eval set1,284 cases · 92% precision · 88% recall
- Precision0.0%+0.0
- Recall0.0%+0.0
- p95 latency0 ms−0 ms
Custom agents
Build an agent for any policy, workflow, or edge case.
When the problem does not fit an off-the-shelf classifier, configure a Cinder agent around it. Same platform, same controls, same evidence. Built around the risk your team actually has.
Overview
Every platform has problems no vendor has seen before
Avatar misuse on a video platform. Romance scams on a dating app. Election interference at a foundation model. Toxicity in a kids' community. The threat surface is specific to your product, and the policy that defends it is yours.
Cinder agents are configurable around that specificity. Wire your policies, your data, and your team's decisions into an agent built for the exact problem you have, and run it on the same platform that already powers your operation.
Capabilities
How custom agents work
Configure on top of your policies
Define the policy, the data the agent should consider, and the actions it can take. No model training degree required.
Live training on your team's reviews
Every reviewer's decision becomes training signal. The agent gets sharper at your problem, not someone else's.
External tool use
Agents can browse the web, hit your APIs, and pull third-party signals when the call requires more context than any single input provides.
Backtesting before production
Run new agents against historical data to see what would have changed: false positives, false negatives, queue impact, before anything ships.
Co-built when you want it
Spin one up yourself, or partner with our services team to design and train it alongside your operators.
Capabilities
What teams have built
01
AI red teaming agents
For foundation model launches and prompt injection coverage.
02
Avatar policy agents
For video and synthetic media platforms.
03
Comment moderation agents
For community platforms with millions of daily posts.
04
Counterfeit-specific agents
For marketplaces with high-value categories.
05
Romance and grooming agents
For dating and social platforms.
“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