A new Era of Cyber-Security

InCyber, Inc. is offering the FIRST EVER  True Prediction Solution to provide advance warning of Pending Insider Threats™ (TPIT)™. Machine Learning, Industry Factors and Behavioral Analytics reduce false positives and offer deep analysis of each insider (employee, contractor, consultant or impersonator) .

A new Era of Cyber-Security

InCyber, Inc. is offering the FIRST EVER  True Prediction Solution to provide advance warning of Pending Insider Threats™ (TPIT)™. Machine Learning, Industry Factors and Behavioral Analytics reduce false positives and offer deep analysis of each insider (employee, contractor, consultant or impersonator) .

A new Era of Cyber-Security

InCyber, Inc. is offering the FIRST EVER  True Prediction Solution to provide advance warning of Pending Insider Threats™ (TPIT)™. Machine Learning, Industry Factors and Behavioral Analytics reduce false positives and offer deep analysis of each insider (employee, contractor, consultant or impersonator) .

A new Era of Cyber-Security

InCyber, Inc. is offering the FIRST EVER  True Prediction Solution to provide advance warning of Pending Insider Threats™ (TPIT)™. Machine Learning, Industry Factors and Behavioral Analytics reduce false positives and offer deep analysis of each insider (employee, contractor, consultant or impersonator) .

A new Era of Cyber-Security

InCyber, Inc. is offering the FIRST EVER  True Prediction Solution to provide advance warning of Pending Insider Threats™ (TPIT)™. Machine Learning, Industry Factors and Behavioral Analytics reduce false positives and offer deep analysis of each insider (employee, contractor, consultant or impersonator) .

Advanced Machine Learning and Combo Algorithms and the CBRM™

provide True Prediction of Insider Threats (TPIT) with Minimum False Positives. 

The Initial Prediction Score™ (IPS)™ and the Final Prediction Score (FPS)™

The TPIT system evaluates logs of employees, contractors, consultants, etc and develops an IPS. As a second step the TPIT integrates the Industry Factor and provides a ranking of highest risk users based on Machine Learning, Statistics and the CBRM™ (Crystal Ball Ranking Method)™.

Scalable user friendly technology

Works independently of other systems and provides accurate risk ranking  to prevent Insider Threats. The TPIT system is scalable and was tested on Millions of customer activities.

 

The InCyber TPIT solution will let you know weeks or months ahead, potential threats, suspects, fraud and unusual user activities. All we need is the user logs with 5 parameters in a simple CSV file.

If you are interested, we will be glad to send you a sample CSV file. Just send us an email to: contact@incyber1.com indicating you would like to receive the sample “CSV” file (Comma, Separated Values) with the required 5 parameters.

Why you should choose

InCyber TPIT

InCyber, Inc. is dedicated to changing the cyber security landscape with our Patent Pending, True Prediction System ™ TPIT™ focused on Insider Threats. Our mission is to defend enterprises against Insider Threats and/or those who are impersonating Insider credentials such as Hackers, Terrorists, and Malware.

Using advanced Machine Learning techniques and Industry Factors, the TPIT System provides advance warning of impending attacks before they can damage, steal, or publicize sensitive data.

IPS UPS CPS Analytics Report Industry Factors

InCyber

Product overview

InCyber’s TPIT (TM) product overview – step by step.

Step 1

For each User (Employee, Contractor, etc):
Input all their activity logs and apply the Combo Algorithm for detecting Irregular Activities (Initial Prediction Score – IPS).

Step 2

For each User (Employee, Contractor, etc):
Apply the External Industry Factor (EIF)™ and compute automatically the Critical Prediction Score – CPS™ (also called Final Prediction Score – FPS™).

Step 3

Use actual External Metrics to Improve the Accuracy of CPS or FPS scores.

 

Step 4

Report the High Risk Users (Employees, Consultants, Contractors, etc) to the CISO or the CSO via eMail and/or Text messages.

Approach

Our Approach to Insider Security

InCyber, Inc. is dedicated to changing the insider security landscape with our TPIT™ (True Prediction of Insider Threats™). Our mission is to defend enterprises against Insider Threats and/or those impersonating Insider credentials such as Hackers, Terrorists, and Malware. Using advanced Machine Learning techniques, Combo Algorithms, External Industry Factors and the Crystal Ball Ranking Method™, InCyber, Inc. provides advance warning of impending threats before they can damage, steal, or publicize sensitive data.

This unprecedented level of defense against Insider Threats offers companies an invaluable edge that present day solutions which operate either in near real-time or after the fact simply cannot provide. Companies with advance warning of an attack can save millions of dollars by preventing such attacks instead of only mitigating the damage after the fact.

News & Articles

To view the InCyber Corporate News select “Company” in the Main Menu and click on “Company News”

To view more than 80 Case Studies and Articles relating to Insider Threats select  “News & Articles” in the Main Menu and scroll down to the desired article.

 

Contact Us

US Main OFFICE - InCyber, Inc.

510 5th Ave 3rd Fl. New York, NY 10036

1-202-318-6987

info@incyber1.com

R&D Headquarters - InCyber, Ltd.

3 Rapaport St. Kfar Saba 44651 Israel

+972-77-571-2900

info@incyber1.com