California’s new AI regulations signal a shift toward measurable governance that require transparency, documentation and ...

Perplexity is pushing beyond search with Comet, major distribution deals, and in-chat shopping — while lawsuits test how far ...

When teams treat AI as a tool for insight rather than full automation, and keep human judgment at the center, adoption ...

AI-driven attacks leaked 23.77 million secrets in 2024, revealing that NIST, ISO, and CIS frameworks lack coverage for ...

China has removed a comprehensive AI law from its 2025 agenda but is not retreating from AI regulation. Instead, it is ...

SEC targets AI oversight, recordkeeping across all channels and active compliance enforcement in 2026 examination priorities ...

Hazmat School reports that AI is enhancing workplace safety by improving productivity, monitoring real-time safety, and ...

Whether you’re generating data from scratch or transforming sensitive production data, performant test data generators are critical tools for achieving compliance in development workflows.

AI regulation and risk governance have evolved from niche concerns to board-level priorities in under three years. Organizations that succeed will be those that treat AI not only as an opportunity, ...

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...

FINRA's rules are intended to be technologically neutral. They apply when companies use GenAI or similar technologies in ...

When AI can act, quality is no longer a model metric. It becomes operational risk, regulatory exposure, and brand risk. That is why testing autonomous AI is no longer just an engineering concern—it is ...