New cybersecurity measures designed to tackle fresh cyber threats as hackers target new frontier AI models. Security programs that are self-sufficient and synchronized at large can safeguard against anti-agentic threats rather than built on fragmented tools and manual processes.
Yearly Archives: 2026
IBM continues to invest in hardware platforms to bring AI from experimentation into everyday work
IBM announced a strategic collaboration with Arm to develop new dual‑architecture hardware that helps enterprises run future AI and data intensive workloads with greater flexibility, reliability, and security. It helps organizations to expand infrastructure choice while preserving mission-critical environments.
IBM has completed the acquisition of Confluent, enabling real-time data to become the backbone of enterprise AI and agents
IBM and Confluent deliver a smart data platform that gives every AI model and agent the information they require, with the necessary controls, governance, and real-time velocity needed to operate safely and at a large scale across on-premises and hybrid cloud.
Quantum computers make a direct contribution to understanding complex molecular behavior
To create a Never-Before-Seen Molecule and prove its Exotic Nature IBM and University Researchers leveraged quantum computing. A high-fidelity quantum computing simulation is equally crucial for understanding this molecule’s behavior at the electronic structure level.
IBM released the 2026 X-Force Threat Intelligence Index based on monitoring over 150 billion security events per day
Learn more about the challenges and successes experienced by security teams around the world to be confident in your security with threat intelligence and better protect the business interests of your organization.
The next generation of IBM FlashSystem, co-run by agentic AI, ushering in a new era of autonomous storage
IBM is changing the way resilience is defined by using agentic AI to enhance FlashSystem’s existing AI capabilities with sustained protection, autonomous threat analysis, and customized recovery recommendations.
According to an IBM study, AI is set to drive smarter business growth through 2030
Based on insights from 2,000 C-suite executives, new research shows that AI is emerging as a critical driver of enterprise growth and nearly eight in ten surveyed executives expect AI will significantly contribute to their revenue by 2030.
The IBM-NRF Study outlines a new reality for brands and retailers as AI influences consumer decisions before shopping starts
AI is altering every aspect of the shopping journey, including consumers’ shopping habits. Retailers who understand AI-influenced consumer behavior will have a competitive advantage that will differentiate them from those who only fulfill them.