Backslash Security announced the findings of its GPT-4 developer simulation exercise, designed and conducted by the Backslash Research Team, to identify security issues associated with LLM-generated code. The Backslash platform offers several core capabilities that address growing security concerns around AI-generated code, including open source code reachability analysis and phantom package visibility capabilities.
Mainframes may be legacy, but they still run a lot of business. In fact, they store 80 percent of the world's transactional data, are run at 92 of the top 100 banks and 23 of the 25 largest airlines (Spark and machine learning on z Systems by Barry Baker @ IBM). It's estimated that there are 1.3 million CICS transactions processed per second and 220 billion lines of code in COBOL.
With so much in play, businesses run a great risk when practices for maintaining and developing on mainframe remain largely the same despite the rest of the organization undergoing significant change to keep pace with the latest DevOps trends. When developers versed in COBOL and Java, Database Administrators versed in DB2, and System Programmers versed in Mainframe are then found integrated into cross-platform hybrid teams, a divide in culture and best practices emerges, greatly inhibiting the collaboration needed to sustain that competitive level of business agility. In fact, customers will no longer tolerate this perceived lack of responsiveness that stems from small changes on mainframe still taking 4-8 weeks to complete for most organizations.
No Silos, No Problem!
To make matters worse, many of the customers I've spoken with are undergoing a disruptive generational shift in their workforce. In fact, we expect almost a fifth of their current mainframers to retire within the next five years. As these experts retire and cede their responsibility over mission-essential applications, businesses are left with the challenge of onboarding the next generation of Digital Transformation heroes so that they may leverage the inherent advantages of mainframe towards cutting-edge technology like blockchain, artificial intelligence and hyperscale cloud.
Returning to a competitive level of business agility requires a persistent focus on breaking down silos and redefining how mainframe is experienced by business professionals as they bring application changes to market. To succeed in this endeavor, businesses must:
■ Empower with choice – onboard your new-to-mainframe workforce and help them quickly hit their peak performance by enabling them to interface legacy applications with proven, industry-standard tooling that show strong community support.
■ Automate to orchestrate – build traceability and automated feedback into every stage of your lifecycle development so that your teams have full visibility into orchestrating pipeline activities across platforms for effective multi-modal development, test and delivery.
■ Optimize for growth – self-fund innovation initiatives by pruning avoidable costs. From leveraging intelligent automation for more efficient SLA management to reducing vendor complexity for a more manageable DevSecOps toolchain, the opportunities are everywhere!
Ultimately, businesses who differentiate themselves through Digital Transformation achieve greater business agility and innovation velocity by mitigating strategic risks, amplifying performance of teams in development, test, operations and security, and managing intelligently against increasing cost pressures.
Transform the Mainframe Experience
When done right, Mainframe becomes an enabler rather than a bottleneck for innovation. Engaging the platform becomes a wholly different experience; easy-to-use and scalable in a manner much like Amazon Web Services. Most critically, customers achieve business agility by:
1. "Consuming" mainframe products as mainframe services, thus realizing a service model that better aligns costs to value realized.
2. Enabling teams to access mission-essential mainframe assets through industry-standard, open-source tooling like Git, Jenkins, Gradle and more.
Industry News
Azul announced that Azul Intelligence Cloud, Azul’s cloud analytics solution -- which provides actionable intelligence from production Java runtime data to dramatically boost developer productivity -- now supports Oracle JDK and any OpenJDK-based JVM (Java Virtual Machine) from any vendor or distribution.
F5 announced new security offerings: F5 Distributed Cloud Services Web Application Scanning, BIG-IP Next Web Application Firewall (WAF), and NGINX App Protect for open source deployments.
Code Intelligence announced a new feature to CI Sense, a scalable fuzzing platform for continuous testing.
WSO2 is adding new capabilities for WSO2 API Manager, WSO2 API Platform for Kubernetes (WSO2 APK), and WSO2 Micro Integrator.
OpenText™ announced a solution to long-standing open source intake challenges, OpenText Debricked Open Source Select.
ThreatX has extended its Runtime API and Application Protection (RAAP) offering to provide always-active API security from development to runtime, spanning vulnerability detection at Dev phase to protection at SecOps phase of the software lifecycle.
Canonical announced the release of Ubuntu 24.04 LTS, codenamed “Noble Numbat.”
JFrog announced a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an open source software platform originally developed by Databricks.
Copado announced the general availability of Test Copilot, the AI-powered test creation assistant.
SmartBear has added no-code test automation powered by GenAI to its Zephyr Scale, the solution that delivers scalable, performant test management inside Jira.
Opsera announced that two new patents have been issued for its Unified DevOps Platform, now totaling nine patents issued for the cloud-native DevOps Platform.
mabl announced the addition of mobile application testing to its platform.
Spectro Cloud announced the achievement of a new Amazon Web Services (AWS) Competency designation.
GitLab announced the general availability of GitLab Duo Chat.