Rapid adoption of AI-driven coding tools could lead to a significant rise in software vulnerabilities, challenging current security practices.
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The rise of AI in cloud services is transforming coding with tools like Google’s Goose and GitHub Copilot, but careful integration is needed to balance benefits with potential drawbacks
The blurring lines between AI and low-code are reshaping software development, as AI complements low-code platforms and expands their capabilities.
With DroidGPT, Endor Labs applies generative AI to software development to ensure open-source packages are current and secure.
The future of software development is evolving to become more low-code, says Bill Doerrfeld, who explains with practical use cases that illustrate the benefits.
As Microsoft evolves to meet faster customer demands, Satya Nadella empowers Judson Althoff to streamline commercial operations and enhance internal collaboration.
The latest AI push from workflow automation titan includes agents that manage diverse functions, multivendor agent governance, and a Configure Price Quote app as part of “Autonomous CRM.”
Addressing the rapidly expanding need for agents in software development, OpenAI updates its coding agent with unified versions, platform-specific updates, and more robust code reviews.
AI agents’ ability to complete transactions autonomously could upend online commerce. Google and an impressive array of finance industry partners are stepping up to enable and secure agentic transactions.
A deep look at AI agent usage by Google Cloud reveals telecom and manufacturing firms setting the pace, while security and customer service use cases are benefiting a range of industries.
Zurich offers new AI tools for building apps, securing the wide range of integrations that customers have in use, and adds tools to analyze and streamline processes.
Anthropic disclosure of several AI-powered security threats, including a ransomware development operation, shows how even non-technical users can now build and launch attacks.
Google Cloud has cut energy consumption for Gemini Apps text prompts by an astonishing 33X and expects to continue making…
Models delivering voice and strong instruction-following speak to a strategy of building in-house in addition to partnerships. A call for new talent undescores internal development focus.
Governance and trust are essential to integrating AI agents into human workforces, with only 24% comfortable with unsupervised AI.
Oracle and Google Cloud have partnered to deliver Gemini AI models via OCI, accelerating enterprise adoption of generative AI with seamless access and flexible billing.
Consulting firm expands suite of products and services designed to helped customers build, deploy, and manage AI agents across multivendor systems.
In sync with OpenAI’s latest LLM release, Microsoft delivers GPT-5 for Copilot, Copilot Studio, and GitHub Copilot, while advancing GPT-5 usage for security use cases.
Oracle’s Kris Rice discusses how the company is accelerating AI innovation through the new MCP server, integrating LLMs with enterprise data, and enhancing developer experience across multi-cloud environments.
In the second significant update since the company launched the agent interoperability spec in April, the company is making it easier for partners to capitalize on key facts of its development platforms and get agents in front into market.