Dark Reading is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Comments
Lessons Learned from 7 Big Breaches in 2019
Newest First  |  Oldest First  |  Threaded View
amdenver
amdenver,
User Rank: Apprentice
1/26/2020 | 8:14:03 PM
Great Concise Article
Author has done an excellent job of capturing the main avenues of getting breached with very good case selection. Great succinct read. Thanks for the time and effort that you put into this worth. Best Regards.
Matt Middleton-Leal Netwrix
Matt Middleton-Leal Netwrix,
User Rank: Apprentice
12/20/2019 | 9:37:05 AM
Cloud data security is a huge concern
Great article. We can all learn from the mistakes made in these big breaches. In particular, I agree that there is continued concern about the risks of cloud storage. In a recent survey, 48% of organizations that store sensitive data in the cloud would consider moving that data back on premises. To best secure data in the cloud, it's important to know just how much data you have, who has access to it and which data is most critical in your IT environment, so you can prioritize your security efforts.
albertscales
albertscales,
User Rank: Apprentice
12/16/2019 | 9:05:30 AM
informative
Nice article


Edge-DRsplash-10-edge-articles
I Smell a RAT! New Cybersecurity Threats for the Crypto Industry
David Trepp, Partner, IT Assurance with accounting and advisory firm BPM LLP,  7/9/2021
News
Attacks on Kaseya Servers Led to Ransomware in Less Than 2 Hours
Robert Lemos, Contributing Writer,  7/7/2021
Commentary
It's in the Game (but It Shouldn't Be)
Tal Memran, Cybersecurity Expert, CYE,  7/9/2021
Register for Dark Reading Newsletters
White Papers
Video
Cartoon
Current Issue
How Machine Learning, AI & Deep Learning Improve Cybersecurity
Machine intelligence is influencing all aspects of cybersecurity. Organizations are implementing AI-based security to analyze event data using ML models that identify attack patterns and increase automation. Before security teams can take advantage of AI and ML tools, they need to know what is possible. This report covers: -How to assess the vendor's AI/ML claims -Defining success criteria for AI/ML implementations -Challenges when implementing AI
Flash Poll
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2019-20319
PUBLISHED: 2022-09-29
** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was in a CNA pool that was not assigned to any issues during 2019. Notes: none.
CVE-2019-20320
PUBLISHED: 2022-09-29
DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was in a CNA pool that was not assigned to any issues during 2019. Notes: none.
CVE-2019-20321
PUBLISHED: 2022-09-29
** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was in a CNA pool that was not assigned to any issues during 2019. Notes: none.
CVE-2019-20322
PUBLISHED: 2022-09-29
DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was in a CNA pool that was not assigned to any issues during 2019. Notes: none.
CVE-2019-20323
PUBLISHED: 2022-09-29
** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was in a CNA pool that was not assigned to any issues during 2019. Notes: none.