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"Any device built today that is not compatible with quantum encryption will be a hack, and a car is a good and dangerous example"

Says Michael Osborne, Director of Quantum Encryption at IBM Laboratories in Zurich, in response to a Chiportal question at an online press conference on the occasion of IBM's announcement of the first enterprise computer system that is secure against threats in the quantum era. The IBM Z16 system.

An IBM-z16 computer on the production floor at IBM factories in New York state. Photography
An IBM-z16 computer on the production floor at IBM factories in New York state. Photography

IBM recently (5.4) unveiled the IBM Z16 - the company's next-generation system with an artificial intelligence accelerator integrated into the chip that enables the execution of an artificial intelligence inference task with low latency. This innovation is designed to enable customers to analyze transactions in real time and at scale, for example analyzing credit card transactions, healthcare and financial transactions. The new system is also the first in the world designed to help protect against cyber threats of the near future, as well as enable protection against theft of encrypted data now to try and crack the encryption with future computing resources.

The Z16 system is a modern mainframe computer, which is a pillar of large computing systems in hybrid cloud environments. These systems are considered by two-thirds of the Fortune 500 companies, eight of the ten largest insurance companies in the world, 45 of the top 50 banks in the world, seven of the top ten retailers in the world, as well as eight of the top ten telco companies in the world as a particularly secure platform for running critical core tasks most. According to a recent study by Celent, IBM Z systems manage 70% of the world's largest transactions.

The first system ready for the age of quantum computing

As mentioned, a large part of the press conference was devoted to the field of encryption ready for the quantum era. According to Osborne as mentioned in the answer to Chiportal's question, today's cars are connected by an interface for online communication over the air. It is a single interface controlled by a service. You can access many, many cars at the same time. So a hacker you are able to inject a malicious code update and has the private key extracted by a quantum computer he can do great damage to many cars at the same time. "

Developers, including car developers use existing tools when designing the product. In the case of a car, it is seven years, and then for another 20 years it will move on the roads. Automakers must update their entire supply chain to be able to monitor it and prevent loopholes. They need to make the car safe in the quantum era. It is important to understand that everything that is not quantum today (mostly secured with RSA) is sure to be lost in the quantum era if it is not prepared for it.

"Today, in a hybrid cloud environment that includes local and public cloud resources, it is important for organizations to defend against current threats, and also against a phenomenon in which cybercriminals who steal data now to decrypt their encryption later, with the help of future resources - which can lead to extortion, loss of intellectual property and disclosure of other sensitive data . IBM Z16 demonstrates a leap forward in the cyber resilience of computing systems by protecting data from future threats that may evolve with the advancement of quantum computing. "

Among other things, the system provides a secure boot, which prevents attackers from injecting malware into the boot process to take over the system during it. In addition, the Crypto Express 8S (CEX8S) hardware security module will offer customers classical cryptographic technology that is also quantum secure, to help deal with data that requires confidentiality and data integrity (Integrity). Quantum Safe

Deep learning for preventing financial fraud

One of the critical applications of these systems is the fight against financial fraud - one of the most painful challenges of the global financial system. According to a new study by the survey company Morning Consult, credit card fraud is the most common among consumers in the six countries surveyed (USA, China, Singapore, Brazil, Japan and Germany). According to the study, Americans are the most frequent victims of credit fraud with charges averaging $265 per person, while Germans suffer the most expensive frauds, amounting to almost $4,000 (€3,520) on average in the past 12 months.

To date, banks have struggled to run large-scale deep learning models for fraud detection because of latency. This meant that such models were applied to less than 10 percent of large-scale transactions - and a significant amount of fraud went undetected. With the help of the new system, banks can analyze financial fraud on a huge scale: the IBM Z16 system can process 300 billion inference requests per day with a delay of only a millisecond. For consumers, this means reducing the time and energy required to handle fraudulent transactions on their credit cards. For retailers and credit card issuers, this means reducing revenue loss and preventing consumer frustration as a result of false charges that lead the customer to change cards, even in future transactions.

More on the subject on the science website

One response

  1. Chinese. A complete article without any explanation of the terms. Did he write it for H.Y. Yaudei Han or is this a website aimed at the general public?

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