Data Protection Report

MARCH 7, 2024

Note that the only difference between the two examples is the addition of IP addresses. What is included in the special category of “government related data”? The regulation also proposes this chart with respect to risk levels and bulk thresholds: (at 25). government, including the military and Intelligence Community.”

Access 59

Access Military Compliance Personal data 59

Hunton Privacy

FEBRUARY 1, 2024

Examples include AI systems that are intended to directly interact with individuals and act like a human, or AI systems designed to generate content (e.g., Education and Vocational Training. Employment, Workers Management and Access to Self-Employment. to prepare news articles).

Risk 114

Risk Education Artificial Intelligence Insurance 114

eSecurity Planet

FEBRUARY 16, 2021

At its core, malware exploits existing network, device, or user vulnerabilities , posing as little a risk as annoying advertisements to the much more damaging demand for millions of dollars in ransom. This article dives into the lexicon of malware, offering descriptions, protections, and examples of each. Jump ahead: Adware.

Phishing 104

Phishing Ransomware Passwords Access 104

KnowBe4

JUNE 20, 2023

As an example, in Basic Web Application Attacks, the use of stolen credentials was involved in 86% of attacks. The prevalence of credential use should come as no surprise, given the number of attacks that have focused on harvesting online credentials to provide access to both cloud platforms and on-premises networks alike.

Data breaches 74

Data breaches Phishing Security awareness Ransomware 74

Data Matters

MARCH 4, 2021

These are (i) government entities; (ii) entities subject to the Gramm-Leach-Bliley Act; (iii) entities subject to the Health Insurance Portability and Accountability Act of 1996 (HIPAA) and Health Information Technology for Economic and Clinical Health Act; (iv) nonprofits; and (v) institutions of higher education. Controllers must.

Personal data 74

Personal data GDPR Sales Privacy 74

Privacy and Cybersecurity Law

NOVEMBER 9, 2018

Inferences drawn from any of the information identified” above “to create a profile about a consumer reflecting the consumer’s preferences, characteristics, psychological trends, preferences, predispositions, behavior, attitudes, intelligence, abilities, and aptitudes.”. Personal information does not include publicly available information.

Privacy 58

Privacy Sales Education Compliance 58

Privacy and Cybersecurity Law

NOVEMBER 8, 2018

Inferences drawn from any of the information identified” above “to create a profile about a consumer reflecting the consumer’s preferences, characteristics, psychological trends, preferences, predispositions, behavior, attitudes, intelligence, abilities, and aptitudes.”. Personal information does not include publicly available information.

Privacy 58

Privacy Sales Compliance Cybersecurity 58