IBM Big Data Hub

APRIL 24, 2024

Meanwhile, businesses that prioritize information privacy can build trust with consumers and gain an edge over less privacy-conscious competitors. Yet many organizations struggle with privacy protections despite the best intentions. A navigation app anonymizes activity data before analyzing it for travel trends.

Data Privacy 82

Data Privacy Privacy GDPR Personal data 82

Collibra

JANUARY 23, 2023

Zero trust, a government wide initiative Zero-trust was originally introduced as a network-based architecture mode, which centralized on identity and multi-factor authentication. In fact, the US federal government has made it a mandate; it has been one year since the White House set forth its zero-trust strategy.

Government 52

Government Access Authentication Security 52

Troy Hunt

MARCH 1, 2018

And this is precisely why I'm writing this piece - to talk about how I'm assisting the UK and Australian governments with access to data about their own domains. Amongst those verified domain searches are government departments and they too are enormously varied; local councils, legal and health services, telecoms and infrastructure etc.

Government 75

Government Passwords Data breaches Authentication 75

Security Affairs

OCTOBER 13, 2020

Furthermore, consumers believe that companies and services have the responsibility of keeping their data secure. Users could leave all the responsibility to governments and other institutions. Both companies and consumers need to work proactively to protect their integrity. Poor credentials. Malware, phishing, and web.

IoT 132

IoT Cybersecurity Manufacturing Passwords 132

ARMA International

SEPTEMBER 13, 2021

In the context of DT, this article defines content as information or data that has context and is consumable by humans and automated systems that allow them to make decisions, support operations, take actions, and monetize value by delivering products and services. Part 3 will discuss how to manage the various DT risks.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning and cybersecurity use cases There are four ways ML is being used in cybersecurity: ML and facial recognition are used in authentication methods to protect an enterprise’s security. Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO).

Marketing 49

Marketing Data science e-Discovery Analytics 49

Hunton Privacy

OCTOBER 26, 2012

The report focuses on privacy concerns associated with facial recognition technology, which is becoming increasingly ubiquitous across a variety of commercial applications ranging from search engines to video games to password authentication. In the report, the FTC illustrates through case studies how companies may implement these principles.

Privacy 40

Privacy Authentication Passwords Government 40