The Last Watchdog

SEPTEMBER 27, 2021

Assessing the risks involved in using the latest technology is something our culture had to adopt in the early days of the computer. New technologies come with risks — there’s no denying that. military officials hired data analysts to crack the Japanese secret code known as JN-25.

Cybersecurity 140

Cybersecurity Hacking Identity Theft Technology 140

CyberSecurity Insiders

JANUARY 17, 2023

It helps organizations in knowing when their IT assets will be targeted by attacks and helps them mitigate the risks in advance. Who uses a TIP? The post Importance of having a Threat Intelligence Platform appeared first on Cybersecurity Insiders.

Data Analyst 119

Data Analyst Antivirus Architecture Firewall 119

CyberSecurity Insiders

JUNE 7, 2023

Double-Edged Sword As organizations continue their migration to the cloud and utilize cloud-related technologies, data security is increasingly at risk. While data access and convenience are important to productivity, it brings along a massive security risk.

Data breaches 118

Data breaches Technology Data Analyst Risk 118

Approachable Cyber Threats

FEBRUARY 17, 2022

Category Risk Modeling, Quantitative Risk Risk Level. ePHI means high risk), or they could be decision rules we encode into algorithms, like those used in software for malware and virus detection (e.g. Data analysts aren’t immune to the ill effects of the recognition heuristic either. What are heuristics?”

Cybersecurity 106

Cybersecurity Data breaches Risk Identity Theft 106

SecureWorld News

APRIL 30, 2023

Huge arrays of unstructured data utilized and modified by many users as well as the ever-growing complexity of attacks, lead to the fact that the usual means of protecting the perimeter of a corporate network no longer meet current information security requirements. DLPs are often focused on checking data that crosses the perimeter.

Technology 79

Technology Unstructured Data Data breaches Information Security 79

Daniel Miessler

MARCH 20, 2022

This includes making sure only the right people are looking at the right data, only the right people are logging into the right systems, that services are available with enough 9’s, that they’re responsive, etc. More Data Analysts (statistics and ML background, combined with data visualization).

InfoSec 180

InfoSec Insurance Engineering Technology 180