Emergent Threat Detection

Rules only catch the fraud you already know about. A new exploit shows up on the map as a concentration — sessions stacking into one tight region, far faster than the steady spread of normal traffic below. You can see that shape before knowing what the exploit is.

Catch novel threats as they emerge, not after the damage is done.

Detect When an Account Changes Hands

Whether it's an account takeover or a mule handoff, the signal is the same — a new person is operating the account. Our behavioral map tracks every account over time and surfaces the moment control shifts.

Same Entity Detection

Detect when multiple accounts exhibit similar behavioral patterns. This is particularly useful to catch criminals who operate at scale. A common mechanism for criminals is to operate many accounts at the same time.

Vertical Integration and Network Expansion

Fold in behavior with the linking signals you already have: transaction history, device, IP, etc. Each link reveals the next and the full ring gets surfaced.

The investigation ends at the edges of the network, not at the case.

Duress Detection

When someone is being coerced, their behavior changes. The behavioral map encodes these signals continuously — projecting every session along a stress and duress axis — so your fraud team can distinguish a willing user from a coerced one before an irreversible transaction goes through.

Bot / Agent Detection

AI agents can now mimic human behavior convincingly enough to fool traditional detection. In the behavioral map, they don't. Automated sessions cleanly occupy distinct regions from human ones.