Volume 343, Issue 3 · 11 articles from 3 issues
IBM and Red Hat's Lightwell fixed 400+ previously unknown Java library flaws, and Lightwell Clearinghouse is now GA.
IBM and Red Hat announced that Lightwell has identified and remediated more than 400 previously unknown vulnerabilities in widely used Java libraries.
The companies also made Lightwell Clearinghouse generally available, letting enterprise customers submit specific open source dependencies for priority review and remediation.
They warn that autonomous AI agents can chain lower-risk weaknesses into serious attacks, so organizations need tested fixes that work with versions already in production, not just detection.
IBM launches IBM Ready for SAP Solutions to speed SAP Cloud ERP modernization for midsize and fast-growing firms.
IBM announced IBM Ready for SAP Solutions to help midsize and fast-growing organizations accelerate cloud ERP modernization, unify enterprise data and build an AI-ready digital core.
Volumetric Building Companies cut operational cycle times by 50% across purchasing, manufacturing and inventory after a three-month SAP Cloud ERP transformation with IBM, while Second Nature Brands used the approach to bring its acquired Voortman Bakery onto a common enterprise platform.
IBM says the examples show the offering supports both efficiency gains and acquisition integration.
At IBM Think on Tour EMEA, executives said scaling agents safely is an operating-model problem that needs governance by design.
At IBM's Think on Tour EMEA 2026 in London, IBM's Ana Paula Assis said 80% of executives expect AI to drive revenue but only 20% can explain how.
IBM research found three-quarters of EMEA executives expect agents to complete full business tasks and decide without humans by 2027, and 80% say an AI-related problem has already reached the boardroom.
She called safe scaling an operating-model rather than a technology problem.
Atos' Michael Nimhauser said fear of losing control extends to infrastructure, models and orchestration, so governance must be built in by design, while Celerity runs governance reviews alongside value assessments.
IBM was selected for Stage C of DARPA's Quantum Benchmarking Initiative evaluating paths to fault-tolerant quantum computers.
IBM has been selected for Stage C, the third phase of DARPA's Quantum Benchmarking Initiative.
In this phase, independent experts will extensively test IBM's quantum hardware, technology, systems engineering and architecture to determine whether it can build a fault-tolerant quantum computer.
IBM Research Director Jay Gambetta said the step validates IBM's path, and the company expects to deliver its first fault-tolerant system in 2029.
IBM research finds 80% of EMEA executives saw an AI incident reach the board, but only 40% changed governance.
IBM surveyed more than 3,200 senior executives across eight countries in Europe and the Middle East, and eight in ten said an AI-related incident, such as an agent failure, data exposure, AI decision error or security breach, reached their board or C-suite in the past year.
Only 40 percent of those organizations changed AI governance policy in response.
When deployment outpaces governance readiness, 56 percent press ahead within agreed risk limits and about a third delay deployment.
IBM introduces Pipeline Automation for Z, pairing with IBM Bob for Z to speed governed mainframe application delivery.
IBM says mainframe development teams have long faced lengthy release cycles, strict governance, fragmented toolsets and costly codebases.
IBM Pipeline Automation for Z pairs with the IBM Bob Premium Package for Z to accelerate mainframe application delivery.
It combines AI-enabled development with automated, repeatable and governed pipelines.
IBM positions the offering as a way to apply AI across the end-to-end DevOps lifecycle on IBM Z.
IBM makes agentic data integration generally available in watsonx.data integration for building governed pipelines.
IBM says AI is multiplying demand for data pipelines faster than data teams can build them, while enterprises still face manual engineering work and trust concerns about agents.
IBM is bringing agentic data integration to general availability in watsonx.data integration.
The capability helps the extended data team build and operate governed pipelines from the tools they already use.
IBM says it drives operational efficiency from pipeline design through operations.
IBM releases OpenPages 9.2.2 with new AI model configurations, file analysis and workflow automation for GRC.
IBM says risk and compliance teams need to act on insights and manage complex processes while keeping oversight.
IBM OpenPages 9.2.2, its governance, risk and compliance solution, introduces new AI model configurations and expanded file analysis.
The release also adds new workflow automation, usability enhancements and simplified configuration tools.
IBM says the update helps organizations operationalize AI-powered GRC and improve efficiency.
IBM watsonx.governance expands AI asset discovery to agent knowledge bases and Google's Gemini Enterprise Agent Platform.
IBM says governance teams need to know what AI systems exist, where they run and what knowledge they use, citing a study finding fewer than one-third know where AI runs and only 18% keep an up-to-date AI inventory.
IBM watsonx.governance now discovers knowledge bases for AI agents as assets.
It also adds Google Cloud Gemini Enterprise Agent Platform to its discovery sources.
New automated handling helps organizations govern AI assets at scale.
IBM combines Sovereign Core software with validated IBM Fusion infrastructure to simplify sovereign AI deployments.
IBM says organizations adopting AI struggle to keep control over sensitive data, infrastructure, operations and compliance, and building a sovereign environment often requires assembling components from multiple sources.
IBM is addressing this with a validated offering that runs IBM Sovereign Core on IBM Fusion.
The combination brings sovereign software and validated infrastructure together.
IBM says it helps organizations deploy and govern AI and traditional workloads with greater speed, simplicity and control.
IBM pairs IBM Sovereign Core with Intel confidential computing to protect AI workloads during execution.
IBM says running AI in business-critical environments requires control over how AI operates, protection of sensitive data during execution and evidence that governance works.
IBM Sovereign Core and Intel's confidential computing technologies combine to deliver those capabilities.
Sovereign Core provides operational sovereignty through a customer-operated, ready-to-run software stack.
IBM says the combination helps organizations manage risk, keep operational independence and adopt AI with more confidence.