Highlights
1 patentProfile claimed by owner
About
Insider Threat Prediction
InCyber's True Prediction of Insider Threats is designed to defend enterprises against insider threats and/or those impersonating insider credentials such as hackers, terrorists, and malware. Using advanced machine-learning techniques and combo algorithms, the Crystal Ball Ranking Method provides advance warning of impending threats before they can damage, steal, or publicize sensitive data. This level of defense against insider threats helps companies save resources by preventing such attacks instead of merely mitigating the damage after the fact.
Identity
| Name | InCyber |
|---|---|
| Slug | incyber |
| Type / kind | startup |
| Crunchbase ID | incyber |
| Source _id | agxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAwJznkJcKDA |
Status
| Status | inactive |
|---|---|
| Status reason | Non Active, Dec 2021 ceased to operate |
| Last update | 2026-05-17 |
Location
| HQ country code | IL |
|---|---|
| HQ region/district | Center District |
| HQ city | Kefar Sava |
| HQ address | Rapaport St 3, Kfar Saba, Israel |
Web & social
| https://www.linkedin.com/company/6390123 |
Classifications
Primary sector Cyber Security
Sub-sectors
Cyber SecurityGRC & Vulnerability
Technologies
Artificial IntelligenceMachine Learning
Target customers
Enterprise & Professional ServicesEnterprises
Business models
B2GB2BB2C
Tags
enterprisescomplianceanti-frauddata-protectionenterprise-securityinsider-threatcyber-security
Funding
| Total raised | $2.0M |
|---|---|
| Current stage | Seed |
Raw source document
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