A dark web eBay. Wonder if there is an aliexpress on the Dark Web? What’s their PayPal version?
A middleman for all the digital criminal’s needs.
There’s a website on the Dark Web offering to store Dox and accept a ransom payment to have it removed; provided the person responsible for uploading the information pays a commission and a processing fee to the website for services rendered.
In addition, it also provides a Doxing-as-a-Service platform, which promises to collect a complete profile on a person for $150.
The website is Ran$umBin (Ransom Bin). Designed to be friendly, easy to use extortion service, its existence was brought to Salted Hash’s attention by Cymmetria’s head of threat intelligence research, Nitsan Saddan. For those not familiar, Cymmetria is a cyber deception startup founded by Gadi Evron and Dean Sysman.
I am not surprised by this; I do expect this given the existing cyber threat risks around AI especially around the existing under pinning technology/ platforms and net infrastructures.
The finance world is cautiously optimistic about the future of artificial intelligence and how it can be used, but, there is more work needed on regulating the technology when it comes to world markets.
“Financial institutions have been fined billions of dollars because of illegality and compliance breaches by traders. A logical response by banks is to automate as much decision-making as possible, hence the number of banks enthusiastically embracing AI and automation,” said Baker and McKenzie head of financial services regulation Arun Srivastava.
“But while conduct risk may be reduced, the unknown risks inherent in aspects of AI have not been eliminated.”
I too believe AI could be bigger in the future once the under pinning technology and infrastructure moves to Quantum Technology so that hacking is under control and performance is where it needs to be.
When Mark Zuckerberg thinks about the future, he sees a world that’s dominated by mobile devices and virtual reality, but when Google CEO Sundar Pichai thinks about the future, all he sees is artificial intelligence. He suggested as much during Alphabet’s quarterly earnings call on Thursday, saying that mobile devices and virtual reality will dominate the immediate future, but that they’ll eventually be surpassed in importance by artificial intelligence. However, he didn’t go into detail about what this future will look like.
Artificial intelligence is nothing new at Google, but today we learned just how big a role top boss Sundar Pichai sees AI playing in our future. Answering an analyst query on Google-parent company Alphabet’s Q1 2016 earnings call about how the company is leading innovation, rather than simply adapting to changes in technology, Pichai talked about his role in projecting where Alphabet is going in the next 10 years. He gave a shout out to VR as the hot new platform, and then wrapped up his comments by saying: “In the long run, I think we will evolve in computing from a mobile-first world to an AI-first world.” Earlier in the call he cited Google’s DeepMind AlphaGo super computer defeating a human champion as an extraordinary achievement. He also said the company is investing in AI and machine learning, areas that are taking off and beginning to bear real-world benefits.
Australia should go “Big Science” on addressing Cyber Security. I believe Australia is already making strides in Cyber Security with their own advancements in Quantum.
Australia’s Cyber Security Strategy, to be released this Thursday, will include an emphasis on research and development, as well as education. How might that unfold?
Regulation is not the immediate problem with autonomous cars. Example, is Google car has been deemed approved by existing regs. However, the issue is the broader public’s trust due to the various reports of hacking of connected cars such as the Nissan Leaf, etc. Until we put in place a more resilient net infrastructure such as Quantum; slow down will happen. I suggest GM to read the news more because everything that I stated has been well communicated in the news and research for the past 4 months.
GM Ventures president Lauckner believes regulation will not halt the advance of the autonomous car.
Knowing a cyberattack’s going to occur before it actually happens is very useful—but it’s tricky to achieve in practice. Now MIT’s built an artificial intelligence system that can predict attacks 85 percent of the time.
Cyberattack spotters work in two main ways. Some are AI that simply looks out for anomalies in internet traffic. They work, but often throw up false positives—warnings about a threat when actually nothing’s wrong. Other software systems are built on rules developed by humans, but it’s hard to create systems like that which catches every attack.
Instead, researchers from MIT’s Computer Science and Artificial Intelligence Lab built a new AI—creatively named AI2—that combines the two approaches.
AI is hackable as long as it’s underpinning technology is still supported on legacy platform technology and connected to a legacy infrastructure. Only when the underpinning technology & net infrastructure is updated to Quantum will we see a secured AI environment.
At MIT, machine learning specialists are training deep learning algorithms to spot cyber attacks. It may be AI’s ultimate test.