Enabling AI use on the mainframe is a part of the job of a brand new zOS part referred to as AI Framework for IBM z/OS. “The AI Framework for IBM z/OS Configuration Workflow guides purchasers by way of the configuration of AI Framework for IBM z/OS, to make knowledge assortment extra environment friendly and collaborative, bettering the consumer expertise. z/OS 3.2 has improved the core performance by breaking down the preliminary knowledge assortment step and up to date job and variable descriptions to be clearer, extra constant, and environment friendly,” IBM documentation states.
One other instance of AI engaged on the mainframe is a brand new model of the AI-based Workload Supervisor (WLM). In keeping with IBM, AI is used to observe workload patterns and predict workload spikes. It will possibly proactively regulate the variety of initiators, or elements, that launch and handle batch jobs to satisfy the demand, IBM stated.
“If you consider the large quantity of information operating by way of these techniques, and we all know that purchasers are hungry for AI inferencing know-how to allow them to interpret the info and ship outcomes in a short time,” Ryan stated. “We’re placing all of the AI onto the system from a {hardware}, working system and a stack perspective, but it surely’s totally engineered throughout there. And the bottom line is it’s safe and guarded.”
New security measures embrace embedded assist for the Nationwide Institute of Requirements and Know-how (NIST) quantum-safe algorithms, which can let clients shield transactions, knowledge and identification administration now and sooner or later, in addition to resist potential quantum assaults which may happen within the years to return, added Kelly Pushong, director, IBM Z and LinuxONE product administration.
One other safety merchandise is IBM Menace Detection for z/OS (TDz), which features a new quarantine function that lets clients extra simply include safety threats utilizing the Huge Iron’s Useful resource Entry Management Facility (RACF), which supplies entry management and safety auditing capabilities. TDz brings AI-driven risk detection utilizing habits analytics, machine studying, and safety knowledge feeds to watch z/OS environments for indicators of insider threats, compromised credentials, unauthorized entry makes an attempt, and suspicious behaviors, in response to IBM.
The brand new RACF function supplies a richer set of management capabilities, Pushong stated. “For instance, historically, when a consumer ID is revoked, any work in progress continued to perform. So, with this new functionality, any [suspicious] request on that consumer’s behalf goes to fail with a singular cause code, in order that they’ll be capable of cease the work that’s already in progress, concern a System Administration Facility occasion log to trace the occasion, and all this feeds up into the zOS risk detection functionality,” Pushong stated. The objective is to raised management entry and restrict the publicity and affect of suspicious exercise, she stated.