IDC Names Securiti a Worldwide Leader in Data Privacy

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Python

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

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

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

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.

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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