the first real-time AI system

IBM has introduced the IBM z16. It is a next-generation system from IBM that, among other innovations, incorporates an on-chip AI accelerator, which offers latency-optimized inference.

This innovation is designed to allow customers analyze transactions in real time at scale for mission-critical workloads like credit cards, healthcare, and financial transactions. In addition, the IBM z16 is also specifically designed to help protect against future threats that could be used to break current encryption technologies.

The IBM z16 is also specifically designed to help protect against future threats.

IBM innovations, including the IBM Z, have been part of the technological backbone of the global economy for decades. the modern mainframe current IBM is essential for the environments of hybrid cloud, valued by two-thirds of the Fortune 100, 45 of the 50 largest banks in the world, 8 of the top 10 insurers, 7 of the 10 global retail companies and 8 of the top telcos as a highly secure platform to execute their loads more reliable work. For example, according to a recent study commissioned by IBM from Celent, the report Operationalizing fraud prevention on IBM ZIBM zSystems executes 70% of global transactions, based on value.

“IBM is a benchmark when it comes to processing transactions worldwide with the leading global security standards. Now, with the innovations in the IBM z16, our clients can accelerate decision-making with inference right where their mission-critical data resides,” said Ric Lewis, senior vice president, IBM Systems. “This opens up tremendous opportunities to be game changers in their respective industries, with better customer experiences and more powerful business outcomes.”

Real-time business AI

Financial institutions around the world are grappling with the impact of fraudulent activities on their revenues and their interactions with consumers. According to a new study from IBM and Morning Consult 2022 IBM Global Financial Fraud Impact Report, credit card fraud is the most common fraud suffered by consumers in the seven countries surveyed. In addition, the people who have participated in the study believe that banks and payment networks should bear the main responsibility when it comes to preventing fraud. However, running large-scale deep learning models in real time has not been possible due to latency issues, meaning fraud detection models are only run on less than 10% of high-volume transactions. , resulting in a significant amount of fraud going undetected.

IBM z16 uniquely brings together AI inference, through its IBM Telum processor, with the highly secure and reliable high-volume transaction processing that IBM is known for. For the first time, banks can analyze fraud during transactions at scale: IBM z16 can process 300 billion inference operations per day with only one millisecond of latency. By identifying fraud at the time of a transaction, consumers would no longer have to deal with confirmation emails or text messages, or worse, having their card blocked and trying to recover their lost money. For both merchants and card issuers, this can lead to lost revenue as consumers become frustrated with false declines and turn to other cards for future transactions.

Other threats, such as tax fraud and organized retail theft, present new challenges that governments and companies must control. Real-time payments and alternative payment methods such as cryptocurrencies are putting pressure on traditional fraud detection techniques. In this regard, the application of the new capabilities of IBM z16 to other industries is generating new use cases, such as:

• Loan Approval: Secure and fast approval of business or consumer loans.
• Clearing and Settlement: Leverage AI to determine which trades and/or transactions have high-risk exposure prior to settlement.
• Learning for retail: to better model risk against fraud and theft.

Data protection with the industry’s first quantum security system

In a hybrid cloud environment where private and public cloud resources are combined, it is critical to protect against today’s threats and prepare against cybercriminals who may be stealing data today to decrypt it later. Building on IBM technologies such as Pervasive Encryption and Confidential Computing, IBM z16 takes cyber resiliency a step further by protecting data against future threats that could evolve with advances in quantum computing.

As the industry’s first quantum security system for clients, IBM z16 is backed by lattice-based cryptography, an approach to building prior layers of security that help protect data and systems against current and future threats. With IBM z16 secure quantum cryptography, enterprises can future-proof their applications and data today.

With a secure boot (meaning cybercriminals cannot inject malware in the boot process to take over the system during startup), IBM z16 customers can strengthen their cyber resiliency and retain control of their system. Additionally, with the Crypto Express 8S (CEX8S) hardware security module, both classical and quantum secure cryptographic technology will be offered to customers to help address their use cases requiring confidentiality, integrity and non-repudiation of information. IBM z16 Secure Boot and Secure Quantum Cryptography can help clients address future threats related to quantum computing, including data theft occurring now that can lead to later attacks by decrypting and using it for extortion, loss of intellectual property and disclosure of other sensitive data.