AIIM

JULY 24, 2018

This is the 11th post in a series on privacy by Andrew Pery. You might also be interested in: The Re-Permissioning Dilemma Under GDPR. Data Privacy and Open Data: Secondary Uses under GDPR. Three Critical Steps for GDPR Compliance. Mitigate Data Privacy and Security Risks with Machine Learning.

GDPR 83

GDPR Compliance Privacy Data Privacy 83

Data Protection Report

FEBRUARY 14, 2022

Recent decisions out of the EU will impact the use of Google Analytics and similar non-European analytics services when targeting EU individuals, with the potential to put many organizations at risk of receiving GDPR fines. At issue was the transfer of personal data from the EU to the US through the use of Google Analytics.

Analytics 128

Analytics GDPR Personal data IT 128

ARMA International

AUGUST 7, 2023

These include artificial intelligence (AI), hybrid and remote work collaboration, cloud, workflow automation and customization, mail processing and digitization, and security and data privacy. Are their levels of security and privacy protocols leaving them vulnerable to breaches and cyberattacks?

Artificial Intelligence 52

Artificial Intelligence Cloud Data Privacy Privacy 52

OpenText Information Management

MAY 10, 2024

At the same time, we must also protect sensitive information and deliver accurate information to the user. OpenText is widely recognized for bringing trusted and secure information governance to customer processes and increasing customers’ security posture.

Security 57

Security Artificial Intelligence Privacy Compliance 57

AIIM

MARCH 26, 2018

You might also be interested in: Three Critical Steps for GDPR Compliance. Mitigate Data Privacy and Security Risks with Machine Learning. The Privacy and Security Dichotomy. GDPR and Cross Border Data Flows between the EU and the US: Current State of the Law. GDPR Compliance Starts with Data Discovery.

GDPR 92

GDPR Data Privacy Privacy Compliance 92

Thales Cloud Protection & Licensing

DECEMBER 8, 2020

Can visibility be the key to better privacy? Technology innovation creates business value for organizations, but also new challenges for data privacy and protection. The fallout from data privacy violations can cripple any organization for a long time. There are five steps to effective data privacy: 1.

Privacy 62

Privacy Digital transformation Data Privacy Risk 62

Data Matters

SEPTEMBER 29, 2021

Protection of personal privacy has, consequently, become an important goal both in technological development — e.g., the increasing prevalence of “privacy by design” in communications programs such as “ephemeral” messaging systems — and in governmental regulation.

Privacy 97

Privacy e-Discovery Computer and Electronics e-Delivery 97