Fraud Detection for Online Games
CogniSafe utilizes semantic technology in a highly efficient and low-signature agent capable of detecting and classifying different kinds of events and patterns (fixed andmutation) during their occurrence and within their respective contexts (e.g. space, time, user-habits, and host-habits). Using asemantic or ontological approach, CogniSafe canprovide a fast and easily extendible continuous user authentication solution by defining a set of maps or cognitive schemes that will instruct the CogniSafe engine (in the form of an end-point agent) to learn user habits and behaviors, based on keyboard and mouse dexterity, with a per process orper time-of-day context. The agent then learns and constructs a profile of the authorized user and can, upon reaching statistical points of maturity for different parameters, detect unauthorized users gaining access to the end-point.
| Name | CogniSafe |
|---|---|
| Slug | cognisafe |
| Type / kind | startup |
| Source _id | agxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAgN791I8KDA |
| Status | inactive |
|---|---|
| Status reason | Non Active, Jan 2016 |
| Last update | 2026-05-17 |
| HQ country code | IL |
|---|---|
| HQ region/district | Center District |
| HQ city | Tel Aviv-Yafo |
| HQ address | Gershon Shatz Street 4, Tel Aviv, Israel |
| Total raised | — |
|---|---|
| Current stage | Mature |
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