Enterprise AI success requires more than powerful models. Learn why data, governance, workflows, and people determine ...

Oracle expands its AI Lakehouse with new data integration, forecasting, and analytics tools to help businesses improve decision-making.

AI agents now read, decide, and act on their own, and the attacks against them unfold across many ordinary, permitted steps ...

Measuring the cybersecurity of AI models gets complex fast, with metrics focused on different variables in the AI security ...

Initiatives to incorporate generative AI into business operations are moving beyond the 'let's try it out' stage in many companies. On the other hand, we often hear stories where things created as a ...

IntroductionMany Japanese people tend to confuse 'open weights' with 'open source,' but open weights only release the trained ...

A practical checklist for evaluating ADLC security solutions: coverage for code and coding agents, evidence-backed accuracy, agent-loop workflow fit, and a proof of concept you can score.

Managing a project and making business decisions are not quite the same job. A project manager may be comfortable handling ...

Discover a five-plane framework for secure, auditable enterprise AI, covering LLM governance, model risk, data lineage, ...

The benchmark used 100 TB TPC-DS data sets; Oracle says its business semantic layer and AI Data Catalog capabilities will be ...

Open-weight models stripped of refusal training through abliteration are creating a new attack surface. Security teams need ...

FinTech analysts are increasingly working with AI in places where a wrong answer can carry more weight than a poor chatbot response. A regulatory summary may influence a compliance review. A risk ...