Main take-outs in IBM Z Systems announcement:
- Pervasively encrypts data, all the time at any scale;
- Addresses global data breach epidemic;
- Helps automate compliance for EU General Data Protection Regulation, Federal Reserve and other emerging regulations;
- Encrypts data 18x faster than compared x86 platforms, at 5 percent of the cost (Source: “Pervasive Encryption: A New Paradigm for Protection,” K. R. E. Lind, Chief Systems Engineer, Solitaire Interglobal Ltd., June 30, 2017);
- Announces six IBM Cloud Blockchain data centers with IBM Z as encryption engine;
- Delivers groundbreaking Container Pricing for new solutions, such as instant payments.
— Graham Penrose (@GrahamPenrose2) July 17, 2017
The new data encryption capabilities are designed to address the global epidemic of data breaches, a major factor in the $8 trillion cybercrime impact on the global economy by 2022. Of the more than nine billion data records lost or stolen since 2013, only four percent were encrypted, making the vast majority of such data vulnerable to organized cybercrime rings, state actors and employees misusing access to sensitive information.
In the most significant re-positioning of mainframe technology in more than a decade, when the platform embraced Linux and open source software, IBM Z now dramatically expands the protective cryptographic umbrella of the world’s most advanced encryption technology and key protection. The system’s advanced cryptographic capability now extends across any data, networks, external devices or entire applications – such as the IBM Cloud Blockchain service – with no application changes and no impact on business service level agreements.
“The vast majority of stolen or leaked data today is in the open and easy to use because encryption has been very difficult and expensive to do at scale,” said Ross Mauri, General Manager, IBM Z. “We created a data protection engine for the cloud era to have a significant and immediate impact on global data security.”
* From an article originally published on July 17 2017 on my Peerlyst blog