Cybereason

Endpoint Detection and Response Platform

Founder alumni from military unit 8200

Business Overview

Jul 2012
Date Founded
Active
Operating Status
Revenue Generating
Revenue Stage
B2B
Business Model
373
Employees

Cybereason’s Endpoint Detection and Response Platform leverages big data, behavioral analytics, and machine learning to automatically hunt complex cyber attacks in real time. By providing a full visual map of malicious operations, Cybereason gives its customers immediate visibility into advanced threats inside their network and enables rapid, effective response. Its customers and partners include Wipro Ventures, Lockheed Martin, SoftBank, and other enterprise customers across all verticals worldwide.

Business Stage
Launched

Founders

Cybereason
Lior Div
CEO
Cybereason
Yonatan Striem Amit
CTO
AI Expert

Funding Rounds

$388.6 M

Total Funding

5

Funding Rounds
3.16x
Funding Growth

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

August 2019
Series E
$200 M
June 2017
Series D
$100 M
October 2015
Series C
$59 M

AI Technology Stack

9
AI Team Size
AI Description

Cybereason Prevention employs a multi-layered approach through intelligence-based conviction capabilities to block known threats and machine learning algorithms that analyze behavioral and static attributes to instantly block fileless attacks, new malware variants, and other novel threats, eliminating lengthy investigations. The machine learning algorithms analyze both behavioral and static attributes of processes and files – blocking the execution of fileless attacks, new malware variants, and never-before seen threats, instantly. Behavioral prevention of unknown threats ensures gaps in defenses are addressed.

The Hunting Engine uses artificial intelligence, machine learning and behavioral techniques to detect a complete cyber attacks.

The Hunting Engine is a purpose built, in-memory graph and data storage that performs real time, continuous data collection and adaptive entity correlation. It continuously pulls in millions of pieces of data from the Endpoint and Server Sensors, and maintains the millions of relationships between data entities.

Its unique ability to ask 8 million questions per second, is the basis for its automated hunting capabilities. The engine builds an evolving, in-memory, real-time view of your environment and portrays a picture of an emerging attack.

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$59 M
FUNDING STAGE
Series E
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$23.3 M
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Active
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$6.5 M
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Series A

Startup Snapshot

Operating Status
Active
AI Team Size
9
Total Funding
$388.6 Million
Founded
July 2012
Funding Stage
Series E
Time Since Last Funding Round
2 years
Valuation (Post-Money)
As of August 2019
$1000 Million

Competitors

SentinelOne is reinventing endpoint security to protect organizations against advanced threats an...

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