159 articles
Responsible for everything from keeping the IT lights on, to digital transformation, AI strategy, fostering cross-organisation relations and managing complexity, the modern CIO has their plate full. Top CIOs share their tips for success
Everywoman founders Maxine Benson and Karen Gill highlight the importance of diversity and why women’s voices need to be heard more widely in tech
Amazon Web Services has launched AWS Continuum, an integrated security platform designed to automate the discovery, enforcement, and remediation of security issues in codebases, dependencies, and applications. The platform introduces four key functionalities that cover the entire vulnerability lifecycle: penetration testing, code review, threat modeling, and identification of code vulnerabilities. This initiative aims to enhance the security processes for developers and organizations.
Google has been recognized as a leader in the 2026 Gartner Magic Quadrant for Conversational AI Platforms, achieving the highest scores in both Vision and Execution. Their Gemini Enterprise for Customer Experience platform enables organizations to move beyond basic chatbots and create AI agents that understand customer intent, reason across enterprise knowledge, and take action. The platform, powered by Gemini models and built on Google Cloud’s AI stack, provides tools like CX Agent Studio to build and deploy AI agents across voice and chat, assist human agents, and accelerate deployment with pre-built solutions for industries like retail and automotive. The Home Depot is already leveraging these capabilities to improve customer support and speed up issue resolution.
Data scientists often juggle between SQL and Python for data processing, facing challenges with data transfer between the two. To ease this, Google Cloud introduced SQL cells in Colab Enterprise, enhancing workflow integration with the new %%bqsql IPython cell magic for seamless SQL and Python operation. This allows users to efficiently utilize both languages in a single processing pipeline, leveraging tools like Jupyter and pandas. Users can set up local environments or use Colab to access BigQuery resources. The integration facilitates direct SQL querying of local pandas DataFrames and enables chaining operations between SQL and Python, enhancing scalability and readability. Users can visualize data in Python post-SQL transformations, maintaining efficient workflows. The BigFrames team encourages feedback on this hybrid experience.
In the July 2026 edition of Cloud CISO Perspectives, Francis deSouza, COO of Google Cloud, discusses how deep context enhances the effectiveness of AI in cybersecurity for defenders against evolving threats from AI-driven attackers. With AI accelerating cyberattacks, Google has developed the AI Threat Defense framework, integrating various security technologies to provide a proactive defense strategy. Key principles include thorough preparation, smart scanning, efficient remediation using automation, and continuous monitoring, as illustrated by Morgan Stanley’s success in significantly reducing threat detection time. Additionally, the issue highlights ongoing efforts to improve security practices, adapt to emerging threats, and leverage collaboration within the cybersecurity community.
Collaboration with CNCF reflects Broadcom’s continued investment in open source innovation, cloud native resilience and the technologies powering the next generation of AI workloads Key Highlights SAN FRANCISCO, California — July 16, 2026 — The Cloud…
Migrating to new AI models can be complex and time-consuming for engineering teams, often requiring extensive testing and manual evaluation. Google Cloud’s Applied ML team has developed a new workflow that allows model upgrades to be completed in hours instead of months, using the Gemini Enterprise Agent Platform. They share three lessons: engaging in hands-on discovery to understand requirements, moving away from rigid automation, and adopting a flexible agent architecture. By applying these principles, teams can create efficient migration workflows and utilize tools like Autoraters and Antigravity for automation, ultimately improving both speed and quality in adopting new AI models.
A Google internal hackathon tested whether AI agents could collaboratively create short films. Teams of agents, each with specific roles, collaborated through messaging and shared files within an open-source framework called Scion. Over the competition, ten crews produced 25+ films totaling about 44 minutes, using various AI tools for scriptwriting, visuals, and audio. The experiment’s findings highlighted the importance of clear communication, effective team structures, and the benefits of specific prompts over general directions in AI-generated media.
If you run critical workloads on AWS, such as a contact center on Amazon Connect Customer, database workloads on Amazon Relational Database Service (Amazon RDS), or hybrid connectivity through AWS Direct Connect, service health events demand your attention. But not all events are equal. An operational issue, a scheduled maintenance window, and a deprecation notice
The Mandiant M-Trends 2026 report notes that the mean time-to-exploit vulnerabilities has decreased to -7 days. To address this, security teams are exploring the integration of large language models (LLMs) within their development processes for automated vulnerability management. The blog outlines best practices for safely incorporating AI, emphasizing the importance of operational guardrails, adherence to industry standards like the NIST AI Risk Management Framework, and securing data by isolating AI agents in controlled environments. It stresses combining AI with human oversight to enhance vulnerability detection while minimizing risks. The discussion includes securing pre-agent data, workload isolation, effective red teaming, and fostering a culture of continuous improvement in vulnerability management. Additionally, it highlights integrating AI into software development lifecycle for both enterprise and product security. Ultimately, organizations should prioritize foundational security and approach LLM deployment strategically to balance innovation with risk management.
Mobile network operators in the UK are battling with energy costs, planning red tape and regulations, all of which are impacting their investment plans