Posted inEmergent TechSecurity

IBM debuts new AI-powered, quantum-safe system

IBM z16 also is specifically designed to help protect against near-future threats that might be used to crack today’s encryption technologies

Global tech giant IBM has introduced IBM z16, a next-generation system with an integrated on-chip AI accelerator—delivering latency-optimised inferencing.

According to the firm, this innovation is designed to enable clients to analyse real-time transactions, at scale –for mission-critical workloads such as credit card, healthcare and financial transactions.

IBM z16 also is specifically designed to help protect against near-future threats that might be used to crack today’s encryption technologies.

“IBM is the gold standard for highly secured transaction processing. Now with IBM z16 innovations, our clients can increase decision velocity with inferencing right where their mission critical data lives,” said Ric Lewis, SVP, IBM Systems.

“This opens up tremendous opportunities to change the game in their respective industries so they will be positioned to deliver better customer experiences and more powerful business outcomes.”

Transforming industries with real-time enterprise AI

IBM z16 brings together AI inferencing, via its IBM Telum Processor, with the highly secured and reliable high-volume transaction processing.

Financial institutions worldwide struggle with the impacts of fraudulent activities on their revenues and consumer interactions. According to a new study from IBM and Morning Consult “2022 IBM Global Financial Fraud Impact Report,” credit card fraud is the most common type of fraud among consumers in the seven countries surveyed. However, running deep-learning models at scale in real-time has not been possible due to latency issues.

IBM z16 can process 300 billion inference requests per day with just one millisecond of latency, helping banks analyse for fraud during transactions on a massive scale.

For consumers, this could mean reducing the time and energy required to handle fraudulent transactions on their credit card. For both merchants and card issuers, this could mean a reduction in revenue loss as consumers could avoid frustration associated with false declines where they might turn to other cards for future transactions.

“As we are starting to recover from the pandemic, all industries in the Middle East are going through rapid digital transformation. While enterprises in the region increase their adoption of the latest advanced digital technologies, the risks and challenges of financial fraud and cyber threats evolve,” said Wael Abdoush, General Manager for Gulf, Levant and Pakistan, IBM.

Wael Abdoush, General Manager for Gulf, Levant and Pakistan, IBM

He added, “The answer to this challenge is IBM z16, the world’s first system designed to help prevent fraud in real time. This next-generation IBM zSystem features a multitude of industry-first breakthroughs and we firmly believe that it is ideal to support our clients in their digital transformation goals.”

Securing data with a quantum-safe system

IBM z16 is underpinned by lattice-based cryptography, an approach for constructing security primitives that helps protect data and systems against current and future threats. With IBM z16 quantum-safe cryptography, businesses can future-ready their applications and data today.

With secure boot (meaning that bad actors cannot inject malware into the boot process to take over the system during startup), IBM z16 clients can strengthen their cyber resiliency posture and retain control of their system.

Also, with the Crypto Express 8S (CEX8S) hardware security module will offer clients both classical and quantum-safe cryptographic technology to help address their use cases requiring information confidentiality, integrity and non-repudiation. IBM z16’s secure boot and quantum-safe cryptography can help clients address future quantum-computing related threats including harvest now, decrypt later attacks which can lead to extortion, loss of intellectual property and disclosure of other sensitive data.