DOGE can maintain access to federal personnel data, court rules The DOGE affiliates will also keep unfettered access to federal education and taxpayer information.

An appeals court ruled on Tuesday that the Department of Government Efficiency (DOGE) can access sensitive federal data of millions of Americans, reversing a temporary injunction that was issued ea… ...

JPMorganChase's stunning move to force fintechs to pay for accessing customer data has roiled the open banking landscape. PNC, another major bank, is reportedly considering a similar approach. If ...

Opinion Unlocking the full potential of Earth observation: overcoming barriers to data access and adoption by Scott Steffan August 8, 2025 ...

Oracle has unveiled its latest database offering it claims will enhance agentic AI deployments and help with data sovereignty demands. The Oracle Globally Distributed Exadata Database on Exascale ...

A federal appeals court lifted limits on the Department of Government Efficiency's data access, delivering a major win for the Trump administration.

IMDataCenter, a Florida-based data hygiene, enhancement, and append services provider, has been found leaking thousands of sensitive personal records to the open internet.

The decision adds to the challenges for Nayara Energy, coming soon after technology giant Microsoft Corporation denied the company access to its data services last month over the same issue.

OpenAI has finally unveiled GPT-5, promising lower hallucination rates. How does GPT-5's hallucination benchmarks stack up to earlier models?

Security researchers found a weakness in OpenAI’s Connectors, which let you hook up ChatGPT to other services, that allowed them to extract data from a Google Drive without any user interaction.

Oracle NetSuite rolls out a new integration that uses MCP to connect business data and actions to external LLM-based AI agents - good for experimentation, but developers should proceed with caution.

The newly developed AI can learn and understand the key features required for strong binding to a target protein, and design optimal drug candidate molecules—even without any prior input.