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Don’t Get Tangled Up in RoPAs

August 2, 2018

By Lonnie

Don’t Get Tangled Up in RoPAs: An Integrated Approach Towards automating the creation and maintenance of Article 30 processing records using actual data records. Join us for this educational webinar,…

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AI-Powered Custom Classifiers for DSPM

October 24, 2024

By Neil Patel

…based on actual risk to sensitive data. However, as your environment expands and becomes more complex, generic out-of-the-box (OOTB) solutions no longer suffice. Every organization manages distinct data types and

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DSPM vs DLP, and How They Help Against Insider Risk Management

November 22, 2024

By Alexis Porter

…data security posture across all your environments, including the cloud, SaaS services, on-premise, and hybrid. What is DLP? Data loss prevention (DLP), as the name suggests, focuses on preventing the…

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Data Discovery: A Means to an End or an End to a Means?

February 10, 2022

By Alan Dayley

…applied, help achieve them? As an industry analyst, when asked about inventorying the data, I would immediately ask to what business KPI the initiative was tied. I would get a…

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BigID + Atakama: Data-Centric File Encryption

February 17, 2022

By Neil Patel

…or passwords. BigID helps organizations of all sizes to manage, protect, and get more value out of their data anywhere it exists — on-prem or in the cloud. Understand the…

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Washington State Continues to Revive Privacy Legislation

March 9, 2022

By Jaclyn Wishnia

Building upon the California Consumer Privacy Act (CCPA), the Virginia Consumer Data Protection Act (VCDPA), the Colorado Privacy Act (CPA), and more, Washington is trying to regain its position over…

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Database Activity Monitoring (DAM) Guide

May 1, 2025

By Alexis Porter

For example, we classify different types of data, such as personally identifiable information (PII), payment details, or health-related data, and can tag this with sensitivity levels, from low to high…

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Data Redaction vs Data Masking: Hiding Sensitive Data

March 31, 2025

By Alexis Porter

…record numbers, health plan beneficiary numbers, medical diagnoses, treatments, and conditions, etc. Financial information: This type of information includes credit or debit card numbers, bank account details, salary or compensation…