Monday, July 26, 2021

Music for the ears of my lawyer friends?

https://www.databreaches.net/first-came-the-ransomware-attacks-now-come-the-lawsuits/

First came the ransomware attacks, now come the lawsuits

Gerrit De Vynck reports:

…In a world where everything runs on computers, these attacks can cause havoc. Hospitals have had to postpone surgeries. In Southern Maryland, Leonardtown was hit by the sprawling Kaseya IT software hack and lost 17 of its 19 computers, forcing it to stop billing residents for electricity and blocking paychecks from going out to town employees. And in the case of Colonial Pipeline, hundreds of gas stations were shut down, leading to huge lines of cars waiting for what little fuel remained.
The rise in lawsuits may mean companies and organizations that are hacked are no longer just on the hook for reimbursing people who had their data stolen. They could now be liable for all kinds of damages that go well beyond a heightened risk of identity theft or credit card fraud.

Read more on Washington Post.





Repeating those repetitious redundancies my students need to hear.

https://www.cpomagazine.com/tech/business-protection-make-sure-it-thrives-in-case-of-an-emergency/

Business Protection: Make Sure It Thrives in Case of an Emergency

In this article, you will find a list of things you need to take into account to make sure that your business thrives in case of unexpected problems. This list of emergencies includes but is not limited to data protection issues, your or your business partner’s death or critical injury, financial trouble, weather disaster, and the pandemic. Read on and make sure that you are prepared for anything.





Worth asking the question?

https://www.cpomagazine.com/tech/are-companies-collecting-too-much-data-on-us/

Are Companies Collecting Too Much Data on Us?

… With rising data privacy concerns, the active threat of cybercrime, and a generally oblivious public, do companies need to collect and store a lot of our data?

In today’s post, we cover how much data companies and governments should have on us. Without further ado, let us start.





Quick! Before they sneak up on you.

https://www.ofcom.org.uk/research-and-data/internet-and-on-demand-research/internet-futures

Internet Futures: Spotlight on the technologies which may shape the Internet of the future

… As the UK’s communications regulator, it is important that Ofcom is aware of new types of Internet technology that may affect the future. We will monitor and consider the effects that these developments may have on the communications services we use every day.

Read the report

Internet Futures: Spotlight on the technologies which may shape the Internet of the future (PDF, 4.9 MB)





After getting so much right with their GDPR…

https://www.ft.com/content/a5970b6c-e731-45a7-b75b-721e90e32e1c

EU proposals to regulate AI are only going to hinder innovation

While some of us under lockdown churned through streaming services and sourdough starters, others decided to use the time for a little self-improvement — taking up Dutch or Danish, Swahili or Esperanto. Duolingo, the free app many downloaded, has become the world’s most popular way to learn a second language. The company is now hoping to ride that interest into an initial public offering: last week it said it wanted to be valued at up to $3.4bn in its IPO.

But EU proposals for regulating AI threaten the use of one of Duolingo’s niftiest innovations, the  English Test, in its current form. They also make it less likely that the next round of similar innovations will be developed in the bloc. That’s a problem.

The English Test provides a way for people to demonstrate their proficiency to more than 3,000 educational institutions around the world. Test-takers don’t need to register in advance or travel anywhere; they just need an internet-connected device with a webcam and an hour to spare. The test guards against cheating (that’s what the webcam is for); assesses literacy, conversation and comprehension; returns results in two days; and costs less than $50.

It’s also a high-risk AI system, according to the EU proposal. This label applies because the test uses AI, both for personalisation — questions appropriate to the taker’s skill level are generated on the fly — and for grading. Systems that use AI for “assessing participants in tests commonly required for admission to educational institutions” are put in the high-risk category by the EU’s proposal.



(Related)

https://www.cnbc.com/2021/07/26/aia-europes-proposed-ai-law-could-cost-its-economy-36-billion.html

Europe’s proposed A.I. law could cost its economy $36 billion, think tank warns

A new law designed to regulate artificial intelligence in Europe could end up costing the EU economy 31 billion euros ($36 billion) over the next five years, according to a report from Washington-based think tank the Center for Data Innovation released on Sunday.

The Artificial Intelligence Act — a proposed law put forward by the European Commission, the executive arm of the EU — will be the “world’s most restrictive regulation of AI,” according to the center.

Read the report.





Perspective. A nation of voyeurs.

https://nypost.com/2021/07/25/citizen-pays-new-yorkers-25-an-hour-to-livestream-crime-scenes/

Citizen pays New Yorkers $25 an hour to livestream crime scenes

Want to make $200 a day in New York City? Rush to the scene of a murder, a three-alarm fire or a traffic accident — then pull out your phone and start shooting.

That’s the pitch from Citizen, a controversial neighborhood watch app that’s quietly hiring New Yorkers to livestream crime scenes and other public emergencies in an apparent effort to encourage more ordinary citizens to do the same, The Post has learned.





Tools & techniques.

https://www.fastcompany.com/90657628/best-free-writing-tools

7 great free tools for improving your writing



Sunday, July 25, 2021

War by random cyber bombing?

https://www.databreaches.net/cyberattack-shuts-down-services-in-greeces-second-largest-city/

Cyberattack Shuts Down Services in Greece’s Second-Largest City

The National Herald reports:

As hackers – many sponsored by Russia and China and authoritarian governments around the world – have stepped up cyber attacks on municipal services in a number of countries, Thessaloniki‘s agencies were shut down over an electronic intrusion.
That happened July 23, with Deputy Mayor of Business Planning, e-Government and Migration Policy Giorgos Avarlis saying the city – Greece’s second-largest – closed its services and web applications, “so that proper investigations can be carried out and we do not risk being attacked again,” with no report what kind of defenses it has.

Read more on The National Herald.





My AI says, “Yes, if we can tell it what is ethical in every circumstance.”

https://www.tandfonline.com/doi/full/10.1080/0731129X.2021.1951459

Can AI Weapons Make Ethical Decisions?

The ability of machines to make truly independent and autonomous decisions is a goal of many, not least of military leaders who wish to take the human out of the loop as much as possible, claiming that autonomous military weaponry—most notably drones—can make decisions more quickly and with greater accuracy. However, there is no clear understanding of how autonomous weapons should be conceptualized and of the implications that their “autonomous” nature has on them as ethical agents. It will be argued that autonomous weapons are not full ethical agents due to the restrictions of their coding. However, the highly complex machine-learning nature gives the impression that they are making their own decisions and creates the illusion that their human operators are protected from the responsibility of the harm they cause. Therefore, it is important to distinguish between autonomous AI weapons and an AI with autonomy, a distinction that creates two different ethical problems for their use. For autonomous weapons, their limited agency combined with machine-learning means their human counterparts are still responsible for their actions while having no ability to control or intercede in the actual decisions made. If, on the other hand, an AI could reach the point of autonomy, the level of critical reflection would make its decisions unpredictable and dangerous in a weapon.





Boarder searches should catch anyone stupid enough to carry into the country data they can easily download from the Internet after they arrive.

https://www.sciencedirect.com/science/article/pii/S2666281721001256

On the need for AI to triage encrypted data containers in U.S. law enforcement applications

This paper takes an analogical approach to define the parameters by which artificial intelligence (AI) can be utilized to facilitate warrantless searches at U.S. ports of entry. The authors tailor their discussion to the prevention of child pornography (also referred to as child abuse or exploitation materials in the academic literature), and the traffic thereof. By making the legal case to utilize AI, particularly eXplainable AI (XAI), to search encrypted devices for attributes indicative of child pornography, the authors hope to encourage research in this field and develop better technology to help catch criminals without relinquishing privacy rights.





Something for lawyers to consider.

https://link.springer.com/article/10.1007/s10506-021-09294-4

Preserving the rule of law in the era of artificial intelligence (AI)

The study of law and information technology comes with an inherent contradiction in that while technology develops rapidly and embraces notions such as internationalization and globalization, traditional law, for the most part, can be slow to react to technological developments and is also predominantly confined to national borders. However, the notion of the rule of law defies the phenomenon of law being bound to national borders and enjoys global recognition. However, a serious threat to the rule of law is looming in the form of an assault by technological developments within artificial intelligence (AI). As large strides are made in the academic discipline of AI, this technology is starting to make its way into digital decision-making systems and is in effect replacing human decision-makers. A prime example of this development is the use of AI to assist judges in making judicial decisions. However, in many circumstances this technology is a ‘black box’ due mainly to its complexity but also because it is protected by law. This lack of transparency and the diminished ability to understand the operation of these systems increasingly being used by the structures of governance is challenging traditional notions underpinning the rule of law. This is especially so in relation to concepts especially associated with the rule of law, such as transparency, fairness and explainability. This article examines the technology of AI in relation to the rule of law, highlighting the rule of law as a mechanism for human flourishing. It investigates the extent to which the rule of law is being diminished as AI is becoming entrenched within society and questions the extent to which it can survive in the technocratic society.





After that, Skynet? This reminds me of Paul David’s “The Dynamo and the Computer,” which I frequently quote and wish he had followed up on…

https://venturebeat.com/2021/07/24/deadline-2024-why-you-only-have-3-years-left-to-adopt-ai/

Deadline 2024: Why you only have 3 years left to adopt AI

If your company has yet to embrace AI, you’re in a race against the clock. And by my calculations, you have just three years left.

How did I arrive at 2024 as the deadline for AI adoption? My prediction — formulated with KUNGFU.AI advisor Paco Nathan — is rooted in us noticing that many futurists’ J curves show innovations typically have a 12-to-15-year window of opportunity, a period between when a technology emerges and when it reaches the point of widespread adoption.





Fearless prediction: This argument will continue until an AI provides us with the answer.

https://www.digitallawjournal.org/jour/article/viewFile/56/48

INTELLECTUAL PROPERTY LAW: IN THE HANDS OF ARTIFICIAL CREATOR

Every year, digitalization covers more and more areas of social life, algorithmization expands the horizons of human capabilities, and mechanization accelerates the interaction of subjects of social relations. A growing number of innovations appears in the turnover of property; it is here that the consequences of the digital revolution most acutely affect a wide range of persons participating in it. Should the conservative civil law regulation of property and personal non-property relations change under the pressure of digital technologies? Should we destroy the foundations and institutions tested by many years of experience in social communication, or will the existing civil law norms be able to withstand change, only requiring a little adaptation to new circumstances?

All these issues are even more relevant in the field of intellectual activity and the protection of intellectual property. One of the challenges is related to the development and implementation of artificial intelligence. Significant advances in the creation of algorithmic software raise the question of the possibility of legal protection of the results of its activities. The merit of the first comprehensive and multifaceted study of this problem belongs to the authors of the recently published monograph “Artificial Intelligence and Intellectual Property” by Oxford University Press, which is reviewed in this article.



(Related)

https://www.digitallawjournal.org/jour/article/view/53

Deconstruction of the legal personhood of artificial intelligence

Calls to rethink the content of “legal personhood” are increasingly being heard at the present time: to recognize animals, artificial intelligence, etc. as a subject. There are several explanations for this: firstly, a change in ideas about a person and their position in society, and secondly, attempts to rethink the traditional categories of law. Throughout long periods of history, the definition of legal personhood depended on the definition of subjective right; the subjective right was associated with the legally significant will of the person. Consequently, a change in views on the will theory of subjective right inevitably lead to a revision of the content of the person. The main purpose of this article is to determine the essence of the legal personhood. To do this, using the historical method, the evolution of ideas about the legal personhood is revealed. It is argued that Hohfeld’s approach to understanding subjective-legal structures made it possible to look differently at the content of the category of legal personhood: it became possible to recognize animals or artificial intelligence as the owners of various subjective-legal categories. Nevertheless, the logic of modern commentators, as well as supporters of such a flexible approach to the definition of legal personhood, is not free from shortcomings. Using the method of analytical jurisprudence, the author demonstrates the emerging problems.





If this is true, and the people who don’t think they need a vaccine (or a mask) will get Covid then ‘believe’ can vote for Trump twice?

https://www.psypost.org/2021/07/large-study-finds-covid-19-is-linked-to-a-substantial-drop-in-intelligence-61577

Large study finds COVID-19 is linked to a substantial drop in intelligence

People who have recovered from COVID-19 tend to score significantly lower on an intelligence test compared to those who have not contracted the virus, according to new research published in The Lancet journal EclinicalMedicine. The findings suggest that the SARS-CoV-2 virus that causes COVID-19 can produce substantial reductions in cognitive ability, especially among those with more severe illness.





For my students...

https://www.makeuseof.com/linkedin-scams-to-watch-out-for/

5 LinkedIn Scams to Watch Out For

LinkedIn is a safe platform, but you can nonetheless find scammers on the site. Here's what to look out for.



Saturday, July 24, 2021

Something very strange here.

https://www.cnn.com/2021/07/23/tech/kaseya-encryptor-ransomware-victims/

Software company's unveiling of decryption key comes too late for many victims of devastating ransomware attack

On Thursday, the software company Kaseya announced that it could help unlock any of its customers' systems that were still inaccessible following a devastating ransomware attack early this month that took down as many as 1,500 businesses worldwide. But for many victims it was too little, too late.

Kaseya had obtained a decryption key, the company said, that could release any file still locked down by malicious software produced by the criminal gang REvil, which is believed to operate from Eastern Europe or Russia.

For the organizations whose systems were still offline three weeks after the attack, the newfound availability of a decryptor tool offered a sign of hope, especially after REvil mysteriously disappeared from the internet and left many organizations unable to contact the group.

But for many others that have already recovered without Kaseya's help, either by paying off the ransomware gang weeks ago or by painstakingly restoring from backups, the announcement was no help -- and opens a new chapter of scrutiny for Kaseya as it declines to answer questions about how it obtained the key and whether it paid the $70 million ransom demand or another amount.

… In order to access the tool, Kaseya is requiring that businesses sign a non-disclosure agreement, according to several cybersecurity experts working with affected companies. While such agreements are not unusual in the industry, they could make it more difficult to understand what happened in the incident's aftermath. Kaseya declined to comment on the non-disclosure agreements.





Still trying to identify that tipping point. (Not just sanctions, all out cyber war.)

https://www.cpomagazine.com/cyber-security/us-intelligence-allies-formally-accuse-chinese-state-backed-hackers-of-the-microsoft-exchange-cyber-attacks-but-stop-short-of-sanctions/

US & Intelligence Allies Formally Accuse Chinese State-Backed Hackers of the Microsoft Exchange Cyber Attacks, but Stop Short of Sanctions

The massive hack of the Microsoft Exchange email server software that took place early this year is estimated to have hit tens of thousands of victims, causing disproportionate chaos for smaller businesses. The Biden administration has formally declared that Chinese state-backed APT groups are to blame. While the attack was not considered a major national security threat (at least not on par with the SolarWinds breach), it was devastating to many American small businesses ill-equipped to respond to cyber attacks of this level of sophistication.





Establishing an absolute minimum. Stop there at your peril.

https://www.databreaches.net/connecticut-enacts-safe-harbor-from-punitive-damages-in-data-breach-cases/

Connecticut Enacts Safe Harbor From Punitive Damages In Data Breach Cases

Jason Gavejian and Joseph Lazzarotti of JacksonLewis write:

Effective October 1, 2021, Connecticut becomes the third state with a data breach litigation “safe harbor” law (Public Act No. 21-119 ), joining Utah and Ohio. In short, the Connecticut law prohibits courts in the state from assessing punitive damages in data breach litigation against a covered defendant that created, maintained, and complied with a cybersecurity program that meets certain requirements. Cyberattacks are on the rise – think Colonial Pipeline, Kaseya, JBS, and others – with ransomware attacks up 158 percent from 2019-2020 in North America.

Read more on JDSupra.





Should they all be discoverable?

https://www.databreaches.net/convenience-store-chain-cant-shield-investigative-report-on-data-breach-from-discovery-judge-rules/

Convenience Store Chain Can’t Shield Investigative Report on Data Breach From Discovery, Judge Rules

We often hear of firms having their counsel running incident response and contracting of forensics, etc., so that any reports would be protected by work product doctrine as well as attorney-client privilege. But if the attorney doesn’t word the contract carefully, any report may not be covered by the doctrine. We saw that in a Capital One case last year in the Eastern District of Virginia involving a 2019 breach, and now we’re seeing it again over another 2019 case, this time in the Middle District of Pennsylvania.

P.J. Annunzio reports:

A federal judge has ruled that because an investigative report commissioned by Pennsylvania-based convenience store chain Rutter’s in response to a data security breach was not prepared for litigation purposes, it is discoverable.
In a July 22 ruling granting the class action plaintiffs’ motion to compel the document, U.S. Magistrate Chief Judge Karoline Mehalchick of the Middle District of Pennsylvania held that the report done by consultant Kroll Cyber Security for Rutter’s was not covered by attorney-client and work product privilege.

Read more on Law.com.





Not-so-private mail.

https://www.makeuseof.com/what-is-email-tracking-pixel/

What Is An Email Tracking Pixel? How Do Companies Use Them to Access Your Private Data?

Companies have a way of tracking who is opening and reading their email content: the email tracking pixel. Although email tracking pixels fly under the radar for most people, many companies use them to gauge engagement with advertising and marketing campaigns.

So, how does an email tracking pixel work?





Once identified and discontinued as a bad idea, they brought it back. Should be interesting to see how mission creep impacts this system.

https://www.pogowasright.org/englands-nhs-data-sharing-to-third-parties-the-view-from-new-zealand/

England’s NHS data-sharing to third parties: the view from New Zealand

Ephraim Wilson of the NZ Privacy Commissioner’s Office writes:

In 2013, UK Prime Minister David Cameron tried to instigate the sharing of UK National Health Service (“NHS”) patient data to private organisations for a small fee. Despite plans to anonymise the data, the move was sufficiently controversial that the Government had to drop the plan – there were major concerns over transparency and privacy. Eight years later, a similar plan has emerged, this time during the pandemic response of Boris Johnson’s Government.
As part of its General Practitioner Data for Planning and Research Programme (“GPDPR”), the Government is planning to put the GP records of England’s 55 million enrolled patients into a single NHS database which will become available to third-party companies and researchers for a fee. It is an ‘opt-out’ programme, meaning that patients need to fill out a form to prevent their data from being included. Originally, GPDPR was supposed to come into action in July 2021 but has now been pushed back to September.
GPDPR will give private organisations access to the NHS Digital central database containing data about diagnoses, symptoms, observations, test results, medications, allergies, immunisations, referrals, and appointments, including information about physical, mental, and sexual health. The information will include data about patients’ gender, ethnicity, and sexual orientation.
Technically peoples’ data will be anonymised, but there are two qualifications. First, given how specific the data is, it will at least be possible to cross-reference with other databases to reidentify the data. Secondly, NHS Digital can unlock the codes to allow access in certain circumstances and where there is valid legal reason. No names and addresses will be available to researchers, but encoded postcodes will be included.
What about these third parties? According to NHS Digital, the data will only be used for health planning and research purposes by organisations that can show they have an appropriate legal basis and a legitimate need to use it. Any data sharing will be overseen by the British Medical Association (“BMA”), the Royal College of General Practitioners (“RCGP”), and the Independent Group Advising on the Release of Data (”IGARD”).
One issue is that neither the NHS, nor their chosen third parties, have had the best record when it comes to data sharing.

Read more on the New Zealand Privacy Commissioner’s Office Blog.





Two plus two does not always equal five.

https://www.databreaches.net/q2-ransom-payment-amounts-decline-as-ransomware-becomes-a-national-security-priority/

Q2 Ransom Payment Amounts Decline as Ransomware becomes a National Security Priority

Seen on Coveware:

If you had told us at the beginning of 2021 that then President elect Biden would be having a nose to nose face off with Putin over ransomware, we would have speculated that some serious escalation must have occurred. In reality, the lackadaisical indifference of one threat actor (DarkSide) set off a compounding series of events that have led us to where we are today. Given the volume of attacks that Ransomware-as-a-service (RaaS) groups conduct, and the de minimis diligence that these groups perform, we are quite certain that the DarkSide affiliate that attacked Colonial Pipeline, had no idea that a) Colonial controlled 45% of the gasoline supply on the US east coast, b) that shutting down that pipeline would cause a consumer run on gasoline, c) that NOTHING gets voters and their duly elected representatives out of their chairs like rising gasoline prices, and finally d) that if you mess with US gasoline prices, you are going to get the attention of the President. Other high profile attacks that would have otherwise garnered 12 hours of media attention were (FINALLY) codified proof that the US indeed has a major problem with ransomware.

But what does that have to do with ransomware payments declining, you ask? Read more on Coveware.





My AI says, “No that can never happen. Please stop asking.”

https://thenextweb.com/news/build-a-computer-with-free-will-syndication?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+TheNextWeb+%28The+Next+Web+All+Stories%29

Can we build a computer with free will?

Do you have free will? Can you make your own decisions? Or are you more like an automaton, just moving as required by your constituent parts? Probably, like most people, you feel you have something called free will. Your decisions are not predetermined; you could do otherwise.

Yet scientists can tell you that you are made up of atoms and molecules and that they are governed by the laws of physics. Fundamentally, then – in terms of atoms and molecules – we can predict the future for any given starting point. This seems to leave no room for free will, alternative actions, or decisions.

Confused? You have every right to be. This has been one of the long outstanding unresolved problems in philosophy. There has been no convincing resolution, though speculation has included a key role for quantum theory, which describes the uncertainty of nature at the smallest scales. It is this that has fascinated me. My research interests include the foundations of quantum theory. So could free will be thought of as a macroscopic quantum phenomenon? I set out to explore the question.





Perspective. Well, maybe not everything...

https://www.zdnet.com/article/what-is-ai-heres-everything-you-need-to-know-about-artificial-intelligence/

What is AI? Here's everything you need to know about artificial intelligence

An executive guide to artificial intelligence, from machine learning and general AI to neural networks.

Back in the 1950s, the fathers of the field, Minsky and McCarthy, described artificial intelligence as any task performed by a machine that would have previously been considered to require human intelligence.

… Francois Chollet, an AI researcher at Google and creator of the machine-learning software library Keras, has said intelligence is tied to a system's ability to adapt and improvise in a new environment, to generalise its knowledge and apply it to unfamiliar scenarios.

"Intelligence is the efficiency with which you acquire new skills at tasks you didn't previously prepare for," he said.





Perspective. Fully self-driving? The end of this year? Ford must think this is the future.

https://www.cnbc.com/2021/07/21/ford-and-argo-ai-to-launch-self-driving-cars-with-lyft-by-end-of-year.html

Ford and Argo AI to launch self-driving cars with Lyft by the end of the year

Ford will launch an autonomous vehicle fleet with Lyft and Argo AI by the end of the year, the companies announced Wednesday.

Self-driving rides with safety drivers will begin this year in Miami. The companies said they plan to expand to Austin, Texas, in 2022 and roll out about 1,000 self-driving cars in multiple markets within five years.

The partnership comes as ride-hailing companies Uber and Lyft ditch their own in-house systems and instead look to outside partners for self-driving technology. Lyft announced plans in April to sell its autonomous vehicle unit to a subsidiary of Toyota for $550 million. In December, Uber sold its self-driving unit to start-up Aurora — which is backed by Hyundai and Amazon — amid safety concerns and extreme costs.





Perspective. Your next programming language?

https://www.analyticsinsight.net/julia-is-causing-quite-a-stir-with-code-modernization-in-the-tech-industry/

JULIA IS CAUSING QUITE A STIR WITH CODE MODERNIZATION IN THE TECH INDUSTRY

The present tech industry is in dire need of a programming language that provides the best of C or C++ and the usability of Python. All of these capabilities are at the heart of what the open-source Julia language project set out to do over a decade ago. When Julia was conceived in 2009 at MIT, the goal was to solve a problem that still exists: the need to use two (or more) languages, one for high performance (C or C++) and another that made programming complex systems a more pleasant experience (the Python example). While using both could get the job done, there is inherent friction between those interfaces and processes. In addition to this basic mismatch, many of the codes in high-value science and engineering are the product of decades of building. They are inherently messy and rooted in codes that were state of the art in the 1980s, particularly in modeling and simulation.





Tools & Techniques.

https://www.makeuseof.com/use-microsoft-edge-solve-math-problems/

How to Use Microsoft Edge's to Solve Math Problems

… Developed by Microsoft, Math Solver is a tool built into the Edge browser that recognizes mathematical problems from an image, and solves them for you.



Friday, July 23, 2021

What are your customers worth?

https://threatpost.com/kaseya-universal-decryptor-revil-ransomware/168070/

Kaseya Obtains Universal Decryptor for REvil Ransomware

Kaseya has obtained a master decryptor key for the REvil ransomware that locked up the systems of at least 60 of its customers in a spate of worldwide cyberattacks on July 2.

The attacks, which exploited now-patched zero-days in the Kaseya Virtual System/Server Administrator (VSA) platform, affected Kaseya customers in 22 countries using the on-premises version of the platform – many of which are managed service providers (MSPs) who use VSA to manage the networks of other businesses. In addition to the 60 direct customers, around 1,500 downstream customers of those MSPs were also affected.

… In the wake of the attacks, the REvil gang (aka Sodinokibi) demanded $70 million for a universal public decryption key that will remediate all impacted victims – a price that one researcher said was eventually lowered to $50 million.

Late on Thursday afternoon, the vendor announced via its rolling advisory on the incident that it had obtained the decryptor “through a third party.” It’s unclear if the ransom was indeed paid.





Are any ‘targets’ off limits?

https://www.bbc.com/news/technology-57922664

Pegasus spyware seller: Blame our customers, not us, for hacking

The maker of powerful spy software allegedly used to hack the phones of innocent people says blaming the company is like "criticising a car manufacturer when a drunk driver crashes".

NSO Group is facing international criticism, after reporters obtained a list of alleged potential targets for spyware, including activists, politicians and journalists.

… The Israeli company says its software is intended for use against criminals and terrorists and made available to only military, law enforcement and intelligence agencies from countries with good human-rights records.

But a consortium of news organisations, led by French media outlet Forbidden Stories, has published dozens of stories based around the list, including allegations French President Emmanuel Macron's number was on it and may have been targeted.





Something seems a bit off here… Closed in 2017 and no one noticed?

https://www.vice.com/en/article/qj8xz3/a-defunct-video-hosting-site-is-flooding-normal-websites-with-hardcore-porn

A Defunct Video Hosting Site Is Flooding Normal Websites With Hardcore Porn

… As pointed out by Twitter user @dox_gay, hardcore porn is now embedded on the pages of the Huffington Post, New York magazine, The Washington Post, and a host of other websites. This is because a porn site called 5 Star Porn HD bought the domain for Vidme, a brief YouTube competitor founded in 2014 and shuttered in 2017. Its Twitter account is still up, but the domain lapsed.





Anything with a value will be hacked/counterfeited. (Especially “proof” that you are healthy or law abiding.)

https://www.databreaches.net/german-pharmacies-stop-issuing-covid-vaccine-passes-after-security-breach/

German pharmacies stop issuing COVID vaccine passes after security breach

Madeline Chambers reports:

German pharmacies have stopped issuing digital COVID-19 vaccination certificates after hackers created passes from fake outlets, the industry association said on Thursday, the latest blow to the inoculation drive.
Germans who have been fully vaccinated are entitled to a certificate which allows them more freedoms, especially to travel. Pharmacies and vaccination centres issue them.

Read more on Reuters.





Privacy history.

https://www.pogowasright.org/the-past-present-and-future-of-us-privacy-law/

The Past, Present and Future of US Privacy Law

From WilmerHale:

In this article published by the Seton Hall Law Review (Vol. 51: Iss. 5, Article 5), Kirk Nahra discusses the history of privacy law, the current privacy structure, and what to expect for the future.
Excerpt: Modern United States privacy law is roughly twenty years old. Even though still in its relative infancy, privacy law is now everywhere. As part of this evolution, the legal structure for protecting privacy in appropriate ways is one of the defining debates of our society today, with no signs of slowing down in the foreseeable future. As we look toward a potential national privacy law, what are the governing principles and key issues for this future law?
Read the full article.





This is true as long as you do not know what the data can tell you. Once you learn that, new data should be placed in a structure (organized) to make extracting that know information stream faster. But you need the unstructured to find even more new things. Looks like you need two sets of data!

https://venturebeat.com/2021/07/22/why-unstructured-data-is-the-future-of-data-management/

Why unstructured data is the future of data management

All the sessions from Transform 2021 are available on-demand now. Watch now.

Enterprises are increasingly relying on unstructured data for regulatory, analytic, and decision-making purposes. Unstructured data will power analytics, machine learning, and business intelligence.

According to the latest figures from research firm ITC, the volume of unstructured data is set to grow from 33 zettabytes in 2018 to 175 zettabytes, or 175 billion terabytes, by 2025. There has to be some kind of data management so organizations have the right kind of data available at the right time. Krishna Subramanian, president and COO of Komprise, a data management software provider, sat down with VentureBeat to discuss the business benefits and challenges associated with unstructured data.





Beware the tool user rather than the tool?

https://science.sciencemag.org/content/373/6552/284

Beware explanations from AI in health care

Artificial intelligence and machine learning (AI/ML) algorithms are increasingly developed in health care for diagnosis and treatment of a variety of medical conditions (1). However, despite the technical prowess of such systems, their adoption has been challenging, and whether and how much they will actually improve health care remains to be seen. A central reason for this is that the effectiveness of AI/ML-based medical devices depends largely on the behavioral characteristics of its users, who, for example, are often vulnerable to well-documented biases or algorithmic aversion (2). Many stakeholders increasingly identify the so-called black-box nature of predictive algorithms as the core source of users' skepticism, lack of trust, and slow uptake (3, 4). As a result, lawmakers have been moving in the direction of requiring the availability of explanations for black-box algorithmic decisions (5). Indeed, a near-consensus is emerging in favor of explainable AI/ML among academics, governments, and civil society groups. Many are drawn to this approach to harness the accuracy benefits of noninterpretable AI/ML such as deep learning or neural nets while also supporting transparency, trust, and adoption. We argue that this consensus, at least as applied to health care, both overstates the benefits and undercounts the drawbacks of requiring black-box algorithms to be explainable.





Because free is good?

https://www.makeuseof.com/want-windows-11-for-free-heres-what-you-need/

Want Windows 11 for Free? Here's What You Need