Aqua Security

Backslash Security secures $8 million to equip AppSec teams with control over cloud-native applications
March 23, 2023
CTech

Aqua Security is the largest pure-play cloud native security company, providing customers the freedom to innovate and run their businesses with minimal friction. The Aqua Cloud Native Security Platform provides prevention, detection, and response automation across the entire application lifecycle to secure the build, secure cloud infrastructure and secure running workloads wherever they are deployed.
Active
February 2015
500
Software
B2B
Launched

people
Amir Jerbi
CTO
people
Azy Shalom
Tech Lead
people
Boris Vesterman
Architect
people
Dror Davidoff
CEO

people
Amy Wu
Partner and Board…
people
Brian Sack
Principal, Board …
people
Gili Iohan
General Partner a…
people
Mark Kraynak
General Partner, …

$265,500,000

Series E

$1,000,000,000

March 10, 2021
Series E
$135,000,000

Date Announced

Round Stage

Round Size

Lead Investors

May 20, 2020
Series D
$30,000,000

Date Announced

Round Stage

Round Size

Lead Investors

April 3, 2019
Series C
$62,000,000

Date Announced

Round Stage

Round Size

Lead Investors

Acrew-Capital.png
Acrew Capital
Venture Capital
2019

Investor

Investor Type

Founded

Funds Raised

investor
Giora Yaron

Investor

Investor Type

Founded

Funds Raised

greenspring associates
Greenspring Associates
Venture Capital
2000
$11,000,000,000

Investor

Investor Type

Founded

Funds Raised

We use machine learning to automatically baseline container behavior for the purpose of wrapping a container in a security envelope that prevents it from performing activities that are not necessary in the application context. In policy management, Aqua’s Image Profiles are set either manually or using Aqua’s machine learning capabilities, or a combination of both. They include controls for inbound and outbound networking, read only files and directories, allowed executables, host resource limits, volumes access, user inside the container, and more. Machine learning allows us to automatically profile container behavior, whitelisting runtime parameters such as system calls, file access, network access, and executables, improving isolation and preventing privilege escalation.
Machine Learning

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