Business Overview

Sep 2010
Date Founded
Acquired
Operating Status

Seculert’s attack detection and analytics platform combines machine learning-based analytics and threat intelligence to automatically detect cyber attacks inside the network, revealing exactly which devices and users are compromised.CISOs can measure and prove the effectiveness of their existing threat prevention systems, without deploying additional staff, hardware, or software.

Funding Rounds

$15.9 M

Total Funding
3
No. of Investors

3

Funding Rounds
6.33x
Funding Growth

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

July 2013
Series B
$10 M
July 2012
Series A
$5.4 M
October 2010
Seed
$0.5 M

Exit Events and Acquisitions

Date Announced

Transaction

Consideration

Target

Acquirer

January 2017
Acquisition
Radware

AI Technology Stack

4
AI Team Size
AI Description

Multidisciplinary research with a proven ability to develop fast prototyping and implement them in production from end to end. Hands on experience in developing multiple big-data (based on spark) cyber malware defense classification algorithms based on data intelligence and crowdsourcing. Develop novel command and control malware classifiers. Malware similarity engines based on graph algorithms, distance metrics and natural language processing (NLP). Research various data sources for User Behavior Analytics (UBA) protection solution that is designed to detect insider threats, external attacks and lateral movements inside the organization using unsupervised and supervised machine learning. Transfer raw unstructured log information to accurate and enriched information. Develop novel deep learning algorithms which transfer knowledge from threat intelligence to UBA attack detection.

ML Types
Supervised Learning, Unsupervised Learning

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Startup Snapshot

Operating Status
Acquired
AI Team Size
4
Total Funding
$15.9 Million
Founded
September 2010
Funding Stage
Series B

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