User fraud and ATO agent
Stop fake accounts, fake applicants, and account takeovers based on your platform's specific fraud signatures, not just generic patterns.
Overview
Fake accounts, synthetic applicants, account takeovers, bot rings, and coordinated behavior do not announce themselves cleanly. They show up as patterns across accounts, devices, events, relationships, and history.
Cinder connects those signals and evaluates them against your policies, your data, and your team’s validated decisions. Suspicious behavior is detected before it spreads, with evidence and reasoning your team can review and act on.
Capabilities
Identify synthetic identities, bot rings, duplicate accounts, and coordinated registration patterns at the point of entry.
Detect synthetic credentials, suspicious applicant patterns, and identity signals before sensitive access is granted.
Surface anomalous access, behavioral shifts, authentication changes, and risk signals that suggest an account has been compromised.
The agent learns what abuse looks like on your platform specifically, not just what generic fraud models have seen elsewhere.
Connect profile, device, activity, report, and network signals to find linked accounts and repeat patterns before they compound.
Escalate the right cases with the surrounding evidence, policy context, and agent reasoning attached so reviewers can act quickly.
“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
