Consider this approach as part of your “when it happens” planning.
How the Cloud Enables Fast, Easy Recovery From Ransomware and Disasters
Ransomware attacks are skyrocketing, fueled by the rise in remote work during the pandemic. [One factor only. Bob] There were more than 300 million ransomware attacks during the first half of this year — up 151% over 2020 — according to the 2021 Cyber Threat Report from security firm SonicWall. A recent global survey of 5,400 organizations by Sophos found that 37% of respondents had been struck by malicious software within the past year. About one-third of the victims paid the ransom, averaging $170,000, but even those who didn’t pay incurred huge losses when malware brought their operations to a standstill, sometimes for weeks on end.
… However, there is good news on the horizon. In 2020, 41% of companies had most or all of their environment in the cloud, and that number was expected to grow to 62% within 18 months, according to the IDG Cloud Computing Study 2020. Used properly, the cloud can provide very strong protection against ransomware attacks.
… Sophos reports that even businesses that pay up don’t get back as much as one-third of their data, and industry statistics show that victims are often hit with another attack. And backups are not an ideal solution for a speedy recovery from a ransomware assault — or from any data breach or disaster. The real issue isn’t whether the files can ever be recovered — they can, eventually — but how long it will take to make a business fully operational again.
With traditional backup, the answer is: too long. There are other tools that can make the recovery process faster and easier.
They really really want to ignore Minority Report.
https://www.theguardian.com/us-news/2021/nov/07/lapd-predictive-policing-surveillance-reform
LAPD ended predictive policing programs amid public outcry. A new effort shares many of their flaws
The Los Angeles police department has been a pioneer in predictive policing, for years touting avant-garde programs that use historical data and software to predict future crime.
But newly revealed public documents detail how PredPol and Operation Laser, the department’s flagship data-driven programs, validated existing patterns of policing and reinforced decisions to patrol certain people and neighborhoods over others, leading to the over-policing of Black and brown communities in the metropole.
The documents, which include internal LAPD documents and emails and were released as part of a report by the Stop LAPD Spying coalition, also suggest that pledges to reform the programs amid rising public criticism largely rang hollow.
We really need to rethink the definition of “Public.” None of these should come as a surprise.
https://www.makeuseof.com/types-public-records-data-brokers-collect/
7 Types of Public Records That Data Brokers Collect
What you share online is your business. But data brokers can find much more information about you than you might expect, often without your knowledge.
1. Voter Registration
2. Birth Certificates
3. Marriage Licenses and Divorce Records
4. Vehicle Registration
5. School Affiliations
6. Court Records
7. News Information
Should we take this to mean this government agency recognizes it is not creating the cutting edge? If so, it’s the first time I’ve see such a great grasp of the obvious!
National Geospatial-Intelligence Agency issues new commercial strategy
The National Geospatial-Intelligence Agency has published a new strategy intended to encourage employees to leverage more commercial technology moving forward.
What are they doing?
How Data Scientists, Machine Learning Devs Specialize Their Workflows
Data scientists and machine-learning specialists are playing an increasingly integral role in many organizations’ strategy and product development. Are most of these technologists involved in every part of their employers’ data analysis and model training, or do they just specialize in specific areas?
According to SlashData’s Q3 2021 analysis, the answer is the latter: Most data scientists and machine-learning specialists focus on a few parts of the overall data science/machine learning (DS/ML) workflow. The highest percentage is involved in data exploration and analysis; far fewer participate in model deployment, project management, and model health and lifecycle management. Take a look at the breakdown:
Worth reading or too obvious for words?
https://www.scientificamerican.com/article/why-we-forgive-humans-more-readily-than-machines/
Why We Forgive Humans More Readily Than Machines
When things go wrong, flexible moral intuitions cause us to judge computers more severely
Perspective. I was surprised how few I had heard of…
https://www.bespacific.com/the-most-cited-legal-scholars-revisited/
The Most-Cited Legal Scholars Revisited
The Most-Cited Legal Scholars Revisited. Fred R. Shapiro @UChiLRev Volume 88.7 (November 2021): “This Essay presents a list of the fifty most-cited legal scholars of all time, intending to spotlight individuals who have had a very notable impact on legal thought and institutions. Because citation counting favors scholars who have had long careers, I supplement the main listing with a ranking of the most-cited younger legal scholars. In addition, I include five specialized lists: most-cited international law scholars, most-cited corporate law scholars, most-cited scholars of critical race theory and feminist jurisprudence, most-cited public law scholars, and most-cited scholars of law and social science.
Stuff for my geeks.
https://www.makeuseof.com/tag/how-to-install-multiple-bootable-operating-systems-on-one-usb-stick/
How to Install Multiple Bootable Operating Systems on a USB Stick
Lazy people love Covid.
https://dilbert.com/strip/2021-11-09
No comments:
Post a Comment