IDC Names Securiti a Worldwide Leader in Data Privacy


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Python refers to a high-level programming language renowned for its simplicity, readability, and ease of use. Primarily used for software development, data analysis, machine...

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Pseudonymization is a process used to encrypt or replace any collected personal data with pseudonyms. Pseudonymization is critical when it comes to protecting the...

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Public key infrastructure (PKI)

Public key infrastructure (PKI) refers to a framework of cryptographic technologies, policies, and procedures designed to ensure secure communication and authentication protocols within a...

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Proxy server

Proxy server refers to an intermediary server that plays the role of a gateway between client devices and servers on a single network. If...

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Protocol refers to a collective set of rules, guidelines, and principles that dictate the methods of communication and data exchange between various interconnected devices,...

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Processor refers to an entity or organization responsible for collecting users’ data on behalf of a data controller. The processor is expected to act...

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Privileged access management (PAM)

Privileged access management (PAM) refers to the management and control of access to critical systems, networks, and data within an organization. PAM ensures that...

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Privacy Shield

Privacy Shield is a data protection framework that facilitates the transfer of personal data from the European Union to the United States. This framework...

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Privacy seal

Privacy seal is a certification awarded to organizations to reflect compliance with a particular privacy standard or requirement. Such certification signifies the organization implementing...

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At Securiti, our mission is to enable enterprises to safely harness the incredible power of data and the cloud by controlling the complex security, privacy and compliance risks.


Gartner Cool Vendor Award Forrester Badge IAPP Innovation award 2020 IDC Worldwide Leader RSAC Leader CBInsights Forbes Security Forbes Machine Learning G2 Users Most Likely To Recommend