"Experts now believe that criminals could 3D-print hands complete with fingers and fingerprints to defeat security precautions at banks, airports and police stations."
"A financial crime database used by banks has been "leaked" on to the net.
World-Check Risk Screening contains details about people and organisations suspected of being involved in terrorism, organised crime and money laundering, among other offences.
Access is supposed to be restricted under European privacy law"
"But Computercop isn't security software -- quite the opposite; it's classic malware. The software, made in New York by a company that markets to law enforcement, is a badly designed keylogger that stores thingstyped into the keyboard -- potentially everything typed on the family PC -- passwords, sensitive communications, banking logins, and more, all stored on the hard drive, either in the clear, or with weak, easily broken encryption. And Computercop users are encouraged to configure the software to email dumps from the keylogger to their accounts (to spy on their children's activity), so that all those keystrokes are vulnerable to interception by anyone between your computer and your email server. "
"In theory, when the conventional financial system is experiencing turbulence, alternative currencies such as bitcoin should have their time to shine. The decentralised nature of the currency means that it's impossible for any central bank to impose controls on it, while the pseudonymity at its core could make it the perfect vehicle to get money into and out of the country while avoiding legal reprisals."
"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well.
Here are eight jobs expected to be automated (partially or entirely) in the coming decades.
Call Center Employees
call-center
Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient.
Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you.
But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls.
Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves.
At the intersection of big data, artificial intelligence, and advanced
"Going from small data analytics to Big Data analytics or to predictive and prescriptive analytics is trickier. Expanding in both dimensions is human capital intensive, requiring talented data scientists. A McKinsey report (2011) estimates that by 2018, there will be a shortage of 140,000 to 190,000 workers with "deep analytical" experience and a further 1.5 million data-literate managers in the US. Technology giants such as Google, Facebook and Amazon, and large investment banks and top hedge funds can afford such employees, however even now the competition is fierce, as is evidenced by the ongoing talent war in Silicon Valley. The data scientist is indeed a sexy job in the 21st century."
"Quantum computing may offer potential benefits to the financial services industry, but it also poses risks.
Banks rely on encryption to keep their transactions and customer data secure. This involves scrambling and unscrambling data using keys made of very large numbers - tens, if not hundreds, of digits long."
"Marcus Hutchins, the 23-year-old British security researcher who was credited with stopping the WannaCry outbreak in its tracks by discovering a hidden "kill switch" for the malware, has been arrested by the FBI over his alleged involvement in another malicious software targeting bank accounts."
"The system is designed to solve the an often-ignored problem of 75% of the earth's population, an estimated 4 billion people, who have no address for mailing purposes, making it difficult to open a bank account, get a delivery, or be reached in an emergency."
"The study by US-based thinktank the Technology Policy Institute (TPI) is the first that attempts to quantify the value of online privacy and data. It assessed how much privacy is worth in six countries by looking at the habits of people in the United States, Germany, Mexico, Brazil, Columbia and Argentina."
"Serious security flaws that could let attackers steal sensitive data, including passwords and banking information, have been found in processors designed by Intel, AMD and ARM.
The flaws, named Meltdown and Spectre, were discovered by security researchers at Google's Project Zero in conjunction with academic and industry researchers from several countries. Combined they affect virtually every modern computer, including smartphones, tablets and PCs from all vendors and running almost any operating system."
"But even cleverest AI can be fooled with the simplest of hacks. If you write out the word "iPod" on a sticky label and paste it over the apple, Clip does something odd: it decides, with near certainty, that it is looking at a mid-00s piece of consumer electronics. In another test, pasting dollar signs over a picture of a dog caused it to be recognised as a piggy bank."
"Information collected includes dates of birth, addresses, marital status, along with photographs, political associations, relatives and social media IDs.
It collates Twitter, Facebook, LinkedIn, Instagram and even TikTok accounts, as well as news stories, criminal records and corporate misdemeanours.
While much of the information has been "scraped" from open-source material, some profiles have information which appears to have been sourced from confidential bank records, job applications and psychological profiles."
"Dubbed typosquatting, the idea is simple (if devious): A hacker registers a domain that is close enough to a real site, like yourbanknarne.com, and puts up a clone of yourbankname.com. The unsuspecting victim goes to the wrong site by mistake, and enters their personal banking information. In doing so, they have inadvertently handed the digital keys to their account to a hacker. "
"KUALA LUMPUR: Facial recognition technology today is increasingly being used by law enforcement agencies, banks, hotels, airport and now convenience stores to detect and arrest criminals quickly.
Kuala Lumpur Police chief Datuk Seri Mazlan Lazim said by the installation of facial recognition closed-circuit television (CCTV) cameras in convenience stores the faces of criminals can be clearly recorded to trace their identities."
"The new malware, called Anubis, seems to use code forked from Loki. It steals crypto wallet credentials, credit card details and other valuable information from these Windows users.
According to MSI, it first discovered the malware in June in the cybercriminal underground. It has the same name with another potent banking Trojan that has been targeting Android smartphones for months."
"TOKYO/GUANGZHOU -- From shopping to banking to boarding airplanes, an economy based on facial recognition is taking root in Japan, enabling consumers to live a cashless, bag-free life. "
""The social engineering type of attack does not tend to scale [up] easily given the time and effort required to succeed, and therefore is more often than not used by individuals rather than the 'call centre' approach of criminal enterprises," Goddard says. "The trigger to target an individual could be targeted, or opportunistic such as overhearing a conversation or getting access to sensitive or exploitable information like a picture or bank statement.""
"The chief working officer of Techbuyer, an IT asset disposal firm in Harrogate, was standing in a big windowless room of an information centre in London surrounded by hundreds of used exhausting drives owned by a bank card firm. Knowing he might wipe the drives and promote them on, he provided a six-figure sum for all of the units.
The reply was no. Instead, a lorry could be pushed as much as the positioning and the data-storing units could be dropped inside by authorised safety personnel. Then industrial machines would shred them into tiny fragments. "