Sentra

Sentra

On a mission to enable cloud-driven organizations to regain control and secure their data.

HQ location
Tel Aviv-Yafo, Israel
Website
Launch date
Employees
Enterprise value
$200—300m
Company register number
516431202
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DateInvestorsAmountRound
-investor investor investor investor

€0.0

round
investor investor

€0.0

round
investor investor investor investor investor investor investor

€0.0

round
*

$50.0m

Series B
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-255 %
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

More about Sentra
Made with AI
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Sentra.io is a startup that operates in the cybersecurity market, specifically focusing on cloud data security. The company's primary offering is a Data Security Posture Management (DSPM) platform that provides dynamic security for data as it travels through the cloud environment. This platform is designed to integrate with existing security tools, providing a comprehensive solution for data security.

Sentra.io's platform is designed to serve businesses that rely heavily on cloud-based data storage and operations. These could be businesses of any size, from small startups to large corporations, across various industries. The platform is particularly beneficial for businesses that handle sensitive data, such as Personally Identifiable Information (PII), Protected Health Information (PHI), and Payment Card Industry (PCI) data.

The company's business model revolves around providing its DSPM platform as a service to its clients. It generates revenue through subscription fees for access to its platform. The platform offers features such as automated discovery and classification of sensitive data, continuous analysis of data security controls, and automated alerts for potential data vulnerabilities.

Sentra.io's platform also helps businesses achieve compliance with data protection regulations and reduce costs by identifying and removing unnecessary sensitive data, also known as shadow data. It ensures that sensitive data always has proper access controls, no matter where it is stored or how it travels.

Keywords: Cloud Data Security, Data Security Posture Management, Sensitive Data Protection, Automated Data Discovery, Data Classification, Security Control Analysis, Data Vulnerability Alerts, Compliance, Shadow Data Removal, Access Control.

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